Computer Science in Finland 2000-2006
Evaluation Form
Evaluation of Computer Science in Finland (2000-2006)
Helsinki Institute for Information Technology HIIT
GENERAL INFORMATION .......................................................................................................................................... 2
G.1. PERCENTAGE THAT COMPUTER SCIENCE REPRESENTS IN THE RESEARCH CARRIED OUT IN THE UNIT ....................... 3
G.2. THE UNIT’S RESEARCH PROFILE WITHIN COMPUTER SCIENCE .................................................................................. 4
G.3. OTHER RELEVANT FIELDS CONNECTED TO THE UNIT'S RESEARCH PROFILE.............................................................. 5
1. RESOURCES ................................................................................................................................................................ 6
1.1. STAFF IN 2000-2006 (PERSON-MONTHS) .................................................................................................................. 6
1.2. SENIOR AND POSTDOCTORAL RESEARCHERS ............................................................................................................ 6
2. RESEARCH OUTPUT ................................................................................................................................................ 8
2.1. DESCRIBE THE UNIT’S RESEARCH (MAX. 4 PAGES) ................................................................................................... 8
2.2. NUMBER OF SCIENTIFIC PUBLICATIONS AND OTHER OUTPUTS 2000-2006 .............................................................. 14
2.3. LISTS OF MOST IMPORTANT PUBLICATIONS BY RESEARCHERS WITH DOCTORAL DEGREE (MAX 7
PUBLICATIONS/PERSON) ................................................................................................................................................ 14
2.4. COPIES OF THE UNIT’S BEST PUBLICATIONS ........................................................................................................... 40
3. DOCTORAL TRAINING .......................................................................................................................................... 43
3.1. NUMBER OF STUDENTS WHO IN 2000-2006 ............................................................................................................ 43
3.2. LIST OF DOCTORAL DISSERTATIONS IN 2000-2006 AND PRESENT EMPLOYMENT .................................................... 43
4. NATIONAL AND INTERNATIONAL COLLABORATION ............................................................................... 45
4.1. NATIONAL COLLABORATION .................................................................................................................................. 45
4.2. VISITS ABROAD (MINIMUM DURATION OF VISIT: ONE MONTH) ............................................................................... 52
4.3. VISITS TO THE UNIT (MINIMUM DURATION OF VISIT: ONE MONTH)......................................................................... 55
4.4. SHORT BUT PARTICULARLY IMPORTANT VISITS ...................................................................................................... 57
4.5. MOST IMPORTANT FOREIGN COLLABORATORS ....................................................................................................... 59
4.6. DESCRIBE THE MOST IMPORTANT OUTCOMES OF THE VISITS AND COLLABORATION CONTACTS (MAX. 1 PAGE) ..... 71
4.7. NON-ACADEMIC COLLABORATION ......................................................................................................................... 73
5. OTHER SCIENTIFIC AND SOCIETAL ACTIVITIES ........................................................................................ 75
5.1. INVITED PRESENTATIONS IN SCIENTIFIC CONFERENCES .......................................................................................... 75
5.2. MEMBERSHIPS IN EDITORIAL BOARDS OF SCIENTIFIC JOURNALS ............................................................................ 80
5.3. PRIZES AWARDED TO RESEARCHERS, HONOURS AND SCIENTIFIC POSITIONS OF TRUST ........................................... 81
5.4. MEMBERSHIPS IN COMMITTEES AND IN SCIENTIFIC ADVISORY BOARDS OF BUSINESS COMPANIES OR OTHER SIMILAR
TASKS OF NO PRIMARILY ACADEMIC NATURE ............................................................................................................... 86
6. THE UNIT’S SELF-ASSESSMENT ......................................................................................................................... 88
6.1 SWOT – EVALUATION OF THE UNIT’S SCIENTIFIC STRENGTHS, WEAKNESSES, OPPORTUNITIES AND THREATS
(EXPERTISE, FUNDING, FACILITIES, ORGANISATION; MAX. 2 PAGES). ............................................................................ 88
6.2. EVALUATE THE UNIT IN RELATION TO ITS LEADING SCIENTIFIC COMPETITORS (MAX 1 PAGE). .............................. 89
6.3. THE UNIT’S RESEARCH STRATEGY 2008–2010 (RELATION TO THE PARENT ORGANISATION’S STRATEGY, PRIORITY
AREAS IN RESEARCH, DEVELOPMENT MEASURES; MAX 2 PAGES) .................................................................................. 90
6.4. THE SOCIETAL IMPACT OF THE UNIT’S ACTIVITIES (MAX. 1 PAGE) ......................................................................... 91
6.5. ASSESS THE ACADEMIC AND SOCIETAL NEED FOR DOCTORAL TRAINING WITHIN THE UNIT’S RESEARCH FIELDS AND
THE UNIT’S ROLE IN DOCTORAL TRAINING (MAX. 1 PAGE). ........................................................................................... 92
6.6. ASSESS THE RESEARCH INFRASTRUCTURE AVAILABLE (MAX 1 PAGE) .................................................................... 92
7. FUNDING.................................................................................................................................................................... 94
7.1. THE UNIT’S CORE AND EXTERNAL FUNDING RECEIVED FROM THE PARENT ORGANISATION. .................................. 94
7.2. EVALUATE THE ROLE OF THE FUNDING BY ACADEMY OF FINLAND IN PROMOTING THE SCIENTIFIC AND SOCIETAL
IMPACT OF RESEARCH (MAX. 1 PAGE) ........................................................................................................................... 95
7.3. EVALUATE THE ROLE OF FUNDING AWARDED BY DIFFERENT FUNDING ORGANISATIONS IN PROMOTING THE
SCIENTIFIC AND SOCIETAL IMPACTS OF RESEARCH, EXCLUDING FUNDING FROM THE ACADEMY OF FINLAND (MAX. 1
PAGE) ............................................................................................................................................................................ 95
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Computer Science in Finland 2000-2006
Evaluation Form
GENERAL INFORMATION
Organisation
Department or equivalent
Address
Helsinki University of Technology &
University of Helsinki
Helsinki Institute for Information
Technology HIIT
P.O. Box 9800 (Metsäneidonkuja 4,
Espoo)
FI-02015 TKK
Finland
P.O. Box 5400 (Konemiehentie 2,
Espoo)
FI-02015 TKK
Finland
Internet home page
P.O. Box 68 (Gustaf Hällströmin katu
2b, Helsinki),
FI-00014 UNIVERSITY OF
HELSINKI, Finland
+358-9-6949768
+358-9-4513277
+358-9-1911
http://www.hiit.fi
Head of the Department
Phone
Email
Contact person for the Evaluation
Phone
Email
Head of the Department
Phone
Email
Contact person for the Evaluation
Phone
Email
Professor Martti Mäntylä
+358-9-4518138
[email protected]
Päivi Saarinen
+358-9-4518139
[email protected]
Professor Esko Ukkonen
+358-9-19151280
[email protected]
Greger Lindén
+358-9-19151233
[email protected]
Phone
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Computer Science in Finland 2000-2006
Evaluation Form
G.1. Percentage that computer science represents in the research
carried out in the unit1
95
1
Please see the instructions at the end of this document
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Computer Science in Finland 2000-2006
Evaluation Form
G.2. The unit’s research profile within computer science
(give estimate of the percentage)
Research field
(%)
Theory of computation
Algorithms and data structures
5
Programming languages
Software engineering
Parallel and distributed systems
5
Databases, data mining
25
Communications
25
Computer architecture
Human-computer interaction
10
Artificial intelligence, machine learning, computer
vision
Computer graphics
20
Other: Digital media
10
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Evaluation Form
G.3. Other relevant fields connected to the unit's research profile
(Mark with x the columns 1, 2 or 3, where 1=collaboration, 2=joint projects, 3=integrated in the
group. More than one column can be marked in the same row.)
Research field
1
Mathematics
x
Physics
x
2
3
x
Chemistry
Process technology
Automation technology
Signal processing
x
Electrical engineering
Information systems science
Bioinformatics
x
x
x
Psychology
x
x
x
Modelling and simulation, computational science
x
x
x
Biology
x
x
Medicine
x
x
x
Industrial art and design
x
x
x
Linguistics and language technology
x
x
x
Neuroscience
x
x
x
Law and social sciences
x
x
Statistics
x
x
Forestry
x
Economics
x
Paper and printing technology
x
Biomedical engineering
Nanoscience
Other (what)
x
Architecture
x
Drama
x
Media art
x
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Computer Science in Finland 2000-2006
Evaluation Form
1. RESOURCES
1.1. Staff in 2000-2006 (person-months)
See fill-in instructions at the end of the report.
2000 2001 2002 2003 2004 2005 2006 Total
Professors
Other senior researchers
Postdoctoral researchers
Postgraduate students
Other academic staff
Visiting researchers and
visiting research students
Total active research staff
Administrative personnel1)
Technical personnel2)
Other (e.g., teachers)3)
Total staff at the unit
12
13
57
60
52
60
63
315
0
0
0
0
20
22
69
42
75
101
87
138
102
165
354
467
25
5
120
127
374
139
541
182
587
213
604
215
601
268
2850
1149
1
43
12
0
5
264
28
2
21
633
53
11
53
948
48
18
93
1120
50
32
120
1211
52
34
170
1367
70
30
423
5585
313
126
0
55
0
293
0
696
0
1014
0
1202
0
1296
0
1467
0
6024
1)
Includes all administrative personnel at the unit
Includes all technical personnel at the unit
3)
Includes all personnel not included in the other categories in the table.
2)
1.2. Senior and postdoctoral researchers
In case person's duties have changed during the period under review (e.g. from technical personnel
to active research staff), indicate the person's both tasks and period according to the format.
Name
Senior staff
Buntine, Wray
Floréen, Patrik
Gurtov, Andrei
Gionis, Aristides
Himanen, Jari Pekka
Hollmén, Jaakko
Hyvärinen, Aapo
Karila, Arto
Lindén, Greger
Title
Period
Senior Research Scientist
Research Coordinator
Senior Research Scientist
University Lecturer, Senior
Researcher, Postdoc Research
Fellow
Senior Research Scientist
Principal Scientist
Chief Research Scientist
Senior Research Scientist,
Academy Research Fellow
Principal Scientist
University Lecturer, Senior
1/20038/20028/20048/2003-11/2006
2/2003-7/2005
8/2005-7/2010
1/20025/200310/20063/20026
Computer Science in Finland 2000-2006
Evaluation Form
Lindström, Jan
Mannila, Heikki
Mäntylä, Martti
Myllymäki, Petri
Nikander, Pekka
Raatikainen, Kimmo
Rimey, Kenneth
Rissanen, Jorma
Saari Timo
Stenborg, Markku Ilmari
Tirri, Henry
Toivonen, Hannu
Turpeinen, Marko
Ukkonen, Esko
Postdoctoral staff
Bingham, Ella
Geerts, Floris
Goethals, Bart
Hoyer, Patrik
Hurri, Jarmo
Hyvönen, Saara
Ilmonen, Tommi
Inki, Mika
Jacucci, Giulio
Kääriäinen, Matti
Kankainen Anu
Kaski, Petteri
Koivisto, Mikko
Korzun, Dmitry
Mielikäinen, Taneli
Ollikainen, Vesa
Onkamo, Päivi
Oulasvirta, Antti
Researcher,
Senior Research Scientist
Research Director, Academy
Professor
Research Director, Professor
Professor
Academy Research Fellow
Ericsson Affiliate Senior
Research Scientist
Professor
Senior Research Scientist
HIIT Research Fellow
Senior Research Scientist
Senior Research Scientist
Professor, Senior Researcher
Professor
Senior Research Scientist
Principal Scientist
Academy Professor, Professor,
Research Director
University Researcher
Researcher
Researcher
Researcher, Postdoc Research
Fellow
Doctoral Assistant, Researcher
Researcher
Researcher
Researcher
Researcher
Research Scientist
University Researcher
Researcher
Research Scientist
Postdoc Researcher
Researcher
University Researcher
Postdoc Research Fellow,
Researcher
Researcher
Research Scientist
Researcher
PhD student
Researcher
Researcher
Researcher
Researcher
Researcher
8/2003-9/2004
12/2001
1/200008/2003
1/2000-7/2003
1/20005/20027/2002-11/2002
8/20034-8/2004
1/2000-7/2003
11/200612/2002- 9/2005
10/20059/2004-
8/20059/2002-4/2004
1/2003-9/2004
1/20041/20041/20049/2003-10/2003
8/2002-10/2002
1/2006-12/2006
1/20077/20068/2004-12/2004
1/200511/20041-12/2003
1/20064/20041/2002-3/2004
1/20057/2005-2/2007
1/2003-6/2005
9/2002-12/2002
6/2002-12/2002
1/2002-5/2002
11/2002-12/2004
8/2002-11/2006
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Computer Science in Finland 2000-2006
Evaluation Form
Pitkänen, Olli
Puolamäki, Kai
Salmenkivi, Marko
Sarvas, Risto
Seppänen, Jouni
Sevon, Petteri
Tarkoma, Sasu
Tsaparas, Panayiotis
Virtanen, Veli Perttu
Research Scientist
Researcher
Research coordinator
Research Scientist
University Lecturer, Postdoc
Research Fellow, Doctoral
Assistant
Researcher
Research Scientist
Researcher
Researcher
PhD student
Researcher
Research Scientist
Researcher, Postdoc Research
Fellow
Researcher
Research Scientist
12/20066/2000-12/2001
1/2002-3/2006
4/200620058/2002-
1/2002-12/2006
1/20071/200510/200410/2002-9/2004
2/2002-4/2006
5/20062/2004-6/2006
6/2001-2/2005
3-7/2005
2. RESEARCH OUTPUT
2.1. Describe the Unit’s research (max. 4 pages)
This question surveys how the research carried out in the Unit has impacted research in its own
field(s). Describe the orientation of scientific publishing, most important research results and the
role of multidisciplinarity or interdisciplinarity etc. Also, describe the role of basic and applied
research. In case the research carried out in the Unit is clearly specialised in the different fields of
computer science, describe each field separately (see also question 6.3).
The Helsinki Institute for Information Technology HIIT is a joint research institute of the two
leading research universities in Finland, the University of Helsinki (UH) and the Helsinki
University of Technology (TKK). It was founded in 1999. At present, HIIT has some 135
researchers and staff. It operates in close collaboration with the Computer Science Departments of
the parent universities at three locations: Ruoholahti, Otaniemi (TKK campus) and Kumpula (UH
campus). Administratively, HIIT presently consists of two units: the Advanced Research Unit
(ARU) founded in 1999 and the Basic Research Unit (BRU) founded in late 2001. The ARU is
located in TKK and the BRU in UH.
HIIT conducts internationally high-level strategic research in information technology and related
multi-disciplinary topics, especially in areas where Finnish IT industry has a significant role. It
works in close co-operation with Finnish universities, research institutes, and industry, aiming at
significant scientific impact that also benefits the industry and the progress of the Finnish
information society. HIIT has a strong network of international partnerships with leading foreign
research universities and institutions.
HIIT's work is organised in long-term research programmes, each consisting of several co-operating
groups with a total of 25-40 researchers and led by a senior professor-level researcher. Each
programme has an Advisory Board consisting of representatives from industry and academia. An
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Computer Science in Finland 2000-2006
Evaluation Form
internal Management Board consisting of the senior researchers participating in the programme
coordinates the research of each programme. Programmes operate through various instruments,
such as externally funded projects (TEKES, Academy of Finland, EU, companies), research
positions (internal and Academy of Finland funding) and graduate school positions.
Programmes combine basic and strategic research with activities aimed at innovations. Through
this, they aim at scientific impact through publications and influence on the scientific community,
industrial impact through research prototypes and demonstrations, standardization activities, and
close linkage with leading companies, and societal impact through participation in information
society research, innovation-oriented activities, direct links with decision-makers, and active
participation in public debate. For scientific impact, HIIT publishes its results in high-quality
scientific journals and leading conferences, and also in open-source software. It also maintains close
links with leading researchers in its fields through research visits and personal communication.
The present research programmes of HIIT (since 1.1.2006) are as follows:
Algorithmic Data Analysis (ADA). Director: Academy Professor Heikki Mannila
The development in measurement and data collection technologies have made it possible to
gather and store large amount of information in many areas of science and industry. The ability
to analyze these masses of raw data has increased at a much slower speed, however. The
research programme on data analysis develops data mining and computational statistics methods
for various application tasks.
Future Internet (FI). Director: Prof. Kimmo Raatikainen
Enhancing Internet infrastructure to enable efficient, secure and trusted always-on connectivity
and services.
Network Society (NS). Director: Prof. Marko Turpeinen
Human-centric multidisciplinary anticipation and development of ubiquitous information and
communication technology, which is based on deep understanding of needs and practices of our
everyday life and our social relations in a network society.
Probabilistic Adaptive Systems (PAS). Director: Prof. Petri Myllymäki
Study and further development of the theory of sophisticated probabilistic models and exploring
their applications for solving problems appearing in complex real-world stochastic systems.
The following paragraphs give selected highlights of HIIT’s research results. They have been
chosen to display different research approaches and forms of impact as well as multi-disciplinary
research lines covering bioinformatics, behavioural sciences, political science, and law.
Host Identity Protocol and related Internet infrastructure
The Host Identity Protocol is an approach to solving the present architectural deficiencies of the
Internet protocol stack, especially support for mobility and multihoming, by introducing a new
protocol layer at the “waist” of the stack. The layer introduces a new name space of Host Identities
(HI) in the stack, effectively replacing IP numbers from the higher levels of the protocols. This
separates the presently bundled functions of IP numbers as both locators and identities.
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Computer Science in Finland 2000-2006
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HIIT has been involved in the (initially small) HIP research community since 2002. We have
developed our own HIP implementation, HIP for Linux (HIPL), and also various network
infrastructure components related to rendezvous service, HI-IP mapping, and support of various
kinds of middleboxes. Jointly with UC Berkeley, HIIT also developed the Hi3 overlay
infrastructure for managing HIP sessions, and has performed extensive testing of it on the
PlanetLab network.
HIIT is presently a central node in the increasing network of HIP-inspired researchers. In particular,
HIIT’s Dr. Andrei Gurtov co-leads the IRTF working group related to HIP, and HIIT has
contributed significantly to the Internet Drafts related to HIP infrastructure. As another direct result
of our work, HIP support was in late 2006 integrated with the standard Linux kernel, with the
results that all Linuxes now are HIP-compatible.
Fuego Core middleware platform
The Fuego Core middleware platform is the result of a series of related projects focusing on
middleware for future mobile Internet. It covers various themes considered of fundamental
significance: XML processing and messaging, mobile distributed event system, XML
synchronization and data access, and software configuration management. With this, the work has
contributed to international standardization, particularly to IETF (SIMPLE WG) and W3C (Mobile
Web Initiative and Device Independence Activity). The platform has also been adopted by industry
for its own research and development.
ContextPhone
In the area of context-awareness and smart phones, there has been significant success in recognizing
context by analysing user situation data. The results include a prototyping platform ContextPhone
for context-aware applications running on Smartphones, specifically on Nokia’s S60 platform.
ContextPhone consists of about 30 distinct components that implement data gathering, generalized
event services, data logging, user interfaces, network protocols and debugging facilities. The
platform has been published in both the sense of academic publications and as freely downloadable
software, licensed both under GPL version 2 and MIT free software licenses.
Applications built on top of ContextPhone have been used in several research institutes. The data
logging application ContextLogger was used to gather a unique dataset from one hundred
participants over nine months by Nathan Eagle at the MIT Media Lab, and has been the basis for
data analysis method development at HIIT.
ContextMedia, a contextual mobile media gathering tool, has been used together with the
University of Art and Design Helsinki in several artist-led workshops around the world as well as
by the Garage Cinema Research Group at UCB, with an end-user version released for public
consumption under the name Merkitys—Meaning. A special-purpose sensor network version of
ContextPhone is used in a artist-led cross-disciplinary project (Evans in press). Datasets from these
experiments have been released publicly and have been used amongst others by research at the
University of Helsinki and University of Jyväskylä (Mazhelis et al., HICSS, 2006).
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Future Internet search
Future Internet search technologies have been a focus area of the PAS programme since 2002. The
work uses probabilistic and information-theoretic methods to model information retrieval, also
following the principles of open source software development. The underlying hypothesis of the
work is that distributed, semantic-based and multilingual methods will have a central role in the
future of information retrieval. The work has been carried out in several parallel projects funded by
the Academy of Finland, TEKES, and EU’s 6th framework programme.
Highlights of this work include algorithms and freely available software for learning latent variable
models for text analysis, developed by W. Buntine and others, which have made it possible to create
radically novel, semantic (content-based) search engines. In another line of work, new results in the
Minimum Description Length (MDL) theory by J. Rissanen, P. Myllymäki and others, have been
successfully applied in clustering, density estimation and image denoising.
Methods and tools for gene mapping, haplotyping, diagnostic markers and gene regulation
This line of research is based on a fruitful long-term collaboration of HIIT researchers with medical
geneticists. We started with the problem of how to find loci in the genome that predispose to certain
diseases. The first important results included tools for association analysis of haplotype data using
techniques from data mining (Toivonen et al., American Journal of Human Genetics, 2000). This
algorithm was then successfully used by geneticists in the Karolinska Institutet, Stockholm, to
locate the asthma gene, a highly significant finding that was published in Science.
Later, we developed a novel model for genomes of a population which led to a new efficient
algorithm for haplotyping genome data, using hidden Markov techniques (Ukkonen, WABI 2003;
Koivisto et al., WABI 2005). The resulting haplotyping software has accuracy and speed that is
among the very best available at the moment. A similar founder approach has recently been applied
by at least two leading groups elsewhere.
With gene copy number analyses, one patent application has been filed covering the diagnostic use
of the chromosomal copy number change regions.
Most recently, we have developed in collaboration with Professor Jussi Taipale (Biomedicum,
Helsinki) a new model for so-called gene enhancer elements in mammalian genomes. Such
elements have important role in the regulation of gene activity. We carried out a genomewide
comparative analysis and predicted several new enhancer elements that were successfully verified
in vivo (Hallikas et al., Cell 2006; Palin et al., Nature Protocols 2006).
Finding orders from data
In certain data analysis applications there is a natural ordering for the rows or columns of the data.
For example, in paleontological presence/absence data the rows represent sites and the columns
represent species: the task is to find an ordering for the sites so that for each species its occurrences
are in consecutive observations. In the error-free case this seriation problem reduces to consecutive
ones problem, but it is NP-hard for realistic data. We have in the last years developed novel
algorithms for this seriation task (Gionis et al., Paleobiology 2006; Puolamäki et al., PLoS
Computational Biology 2006); their performance is excellent compared to previous approaches.
Recent results (Gionis et al., KDD 2006) show also that finding partial orders can be done
efficiently.
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Techniques and tools for learning linear latent variable models
A common data-analysis framework for continuous data is to describe the data as a linear mixture
of some underlying hidden variables. This family of methods includes Independent Component
Analysis (ICA) and Non-negative Matrix Factorization (NMF), which both have received
considerable attention in the machine learning community. We have contributed significantly to the
problem formulation, solution algorithms, and software for these methods. In particular, we have
published a book which is now the standard reference on ICA (Hyvärinen et al., Independent
Component Analysis, Wiley, 2001). We have also developed and improved the FastICA MATLAB
package (www.cis.hut.fi/projects/ica/fastica/), implementing the world-wide most widely-used ICA
algorithm, which we developed in the 1990’s.
Furthermore, we have focused on the important problem of estimating the reliability of ICA
components (Himberg et al., NeuroImage, 2004). We have extended the standard NMF method to
include sparseness constraints. The resulting method (Hoyer, JMLR, 2004) has become a main
reference for modern approaches to NMF, and our corresponding MATLAB package is widelyused.
Social media, especially mobile photography and mobile spectator media
In this line of work, mobile media services, especially for social photography and large-scale
events, have been conceptualized, developed and extensively tested. This work has resulted in
service design principles for mobile group media, as well as explorative implementations in
commercial products (Kuvaboxi, Jaiku, Comeks), service prototypes (Comedia), and open mobile
application platforms (MUPE). The work has been performed in close co-operation with UC
Berkeley (prof. Marc Davis and prof. Nancy van House).
Mobility and cognition
The long-term objective of this line of research is to understand qualitatively and quantitatively the
impact of mobile computing and communication to the interactive behaviour of users and user
groups. To this end, the research has focused on three major lines: 1) the investigation of cognitive
regulation of action in mobile human-computer interaction; 2) the description of the fundamental
limitations in interacting with mobile devices when mobile; and 3) the charting of possible user
interface solutions.
During the research, several innovative research methods and instruments have been developed to
facilitate experimental research in naturalistic real-world settings. For instance, HIIT has developed
a state-of-the art wearable video recording system that makes it possible to collect rich data for
mobile human-computer interaction studies.
Availability of such data has enabled us to study phenomena that would not appear in a laboratory
setting. As an example, we built a predictive model of a mobile user’s attention, basing on Bayesian
networks and data collected from 28 users of mobile web browsers. The results are promising, with
accuracy in binary classification reaching 72% (22% above default), even with realistic sensors.
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Creative Commons licenses for media sharing
After introducing the Creative Commons (CC) licenses in Finland in 2003, HIIT researchers have
focused on pros and cons of applying CC-licenses to community-created content and peer-to-peer
media creation and delivery. We have also aimed to understand the new media business models and
large-scale societal implications of Creative Commons approach. We are also building concrete
experiments especially related to media archive sharing (the P2P Fusion EU project) and
educational material distribution (the EduGrid initiative). The work has had a significant societal
impact through facilitating the adoption and use of CC licenses in Finland and elsewhere.
Global network society research
The aim of this research line is to analyse at macroscopic societal level the logic and global
challenges of the network society. The baseline of the work is given by the studies of Prof. Pekka
Himanen with Prof. Manual Castells, who have analysed comparatively the Finnish/European, the
Silicon Valley/USA, and Singapore/Chinese network society models. An interim goal of the work is
to develop an integrated set of indicators, the Global Future Index, for describing the relations of
network society development to innovation systems and social context. Outcomes of the work
include a draft version of the index that has been presented to the World Economic Forum.
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2.2. Number of scientific publications and other outputs 2000-2006
In the summary table, calculate the number of each type of outcome in the list during the period
under review.
Type of output
1. Articles in refereed scientific
journals
2. Articles in refereed scientific
edited volumes and conference
proceedings
3. Monographs published1)
2000
2001
1
2002
2003
2004
2005
2006
2
17
23
20
30
41
3
60
77
103
115
108
15
5
5
1
8
4. Other scientific
22
14
19
13
14
2)
publications
5. Text books and other
research-related publications3)
6. Patents
1
2
5
3
7. Computer programs and
ca 5
ca 5
ca 10
ca 10
ca 10
ca 10
3)
algorithms
numerous numerous numerous numerous numerous numerous numerous
8. Visiting lectures
numerous
numerous numerous numerous numerous numerous numerous
9. Articles, radio and television
programmes and journals
popularising science
10. Other output
1)
Includes PhD theses and monographs in university series
Includes edited proceedings, collections and special issues of scientific journals, and unrefereed
scientific articles
3)
Approximates the number of programs and algorithms that have been in use outside the unit.
2)
2.3. Lists of most important publications by researchers with doctoral
degree (max 7 publications/person)
Each senior researcher will list seven of his/her key publications during the period under review,
indicated in the order of quality. Unlike other information, the list may also include manuscripts
published in 2007 or manuscripts approved for publication but still unpublished. References to
books should give the names of any editors, place of publication, editor, and year.
Only publications of researchers that have obtained their doctoral degree or who have defended
their thesis before 31 December 2006 are listed.
Ella Bingham
Bingham Ella & Gionis, Aristides & Haiminen, Niina & Hiisilä, Heli & Mannila, Heikki & Terzi,
Evimaria: Segmentation and dimensionality reduction. Proc. 2006 SIAM Conference on Data
Mining, April 20-22, 2006, Bethesda, Maryland, USA, 372-383.
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Kaban, Ata & Bingham, Ella: ICA-based Binary Feature Construction". Independent Component
Analysis and Blind Signal Separation. Proc. 6th International Conference, ICA 2006, Charleston,
SC, USA, March 5-8, 2006, edited by Justinian Rosca, Deniz Erdogmus, Jose C. Principe, Simon
Haykin, 140 - 148.
Hiisilä, Heli & Bingham, Ella: Dependencies between transcription factor binding sites: comparison
between ICA, NMF, PLSA and frequent sets. Proceedings of the 4th IEEE International Conference
on Data Mining, November 1-4, 2004, Brighton, UK, 114-121.
Kaban, Ata & Bingham, Ella & Hirsimäki, Teemu: Learning to read between the lines: The aspect
Bernoulli model. Proceedings of the 4th SIAM International Conference on Data Mining, April 2224, 2004, Lake Buena Vista, Florida, USA, 462-466.
Seppänen, Jouni K. & Bingham, Ella & Mannila, Heikki: A simple algorithm for topic
identification in 0-1 data. Proc. 7th European Conference on Principles and Practice of Knowledge
Discovery in Databases (PKDD 2003), Cavtat-Dubrovnik, Croatia, September 2003, Number 2838
in Lecture Notes in Artificial Intelligence, Springer, 423-434.
Bingham, Ella & Kaban, Ata & Girolami, Mark: Topic identification in dynamical text by
complexity pursuit. Neural Processing Letters 17, 1 (2003), 69-83.
Hyvärinen, Aapo & Bingham, Ella: Connection between multi-layer perceptrons and regression
using independent component analysis, Neurocomputing 50C (January 2003), 211-222.
Wray Buntine
Buntine, Wray L. & Jakulin, Aleks: Discrete Component Analysis. In C. Saunders, M. Grobelnik,
S. Gunn, and J. Shawe-Taylor, editors, Subspace, Latent Structure and Feature Selection
Techniques. Springer-Verlag, 2006.
Buntine, Wray L.: Open source search: A data mining platform. SIGIR Forum, 39, 2005.
Gray, A. G. & Fischer, B. & Schumann, J. & Buntine, Wray L.: Automatic derivation of statistical
algorithms: The EM family and beyond. In S. Becker, S. Thrun, and K. Obermayer, editors,
Advances in Neural Information Processing Systems 15, pages 673-680. MIT Press, 2003.
Buntine, Wray L. & Jakulin, Aleks: Applying discrete PCA in data analysis. In UAI-2004, Banff,
Canada, 2004
Kontkanen, Petri & Myllymäki, Petri & Buntine, Wray & Rissanen, Jorma & Tirri, Henry: An
MDL Framework for Data Clustering. In P. Grünwald, I.J. Myung and M. Pitt, editors, Advances in
Minimum Description Length: Theory and Applications, The MIT Press, 2005.
Perkiö, Jukka & Buntine, Wray L. & Tirri, Henry: A temporally adaptive content-based relevance
ranking algorithm. In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR
conference on Research and development in information retrieval. ACM Press, 2005.
15
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Patrik Floréen
Floréen, Patrik & Kaski, Petteri & Kohonen, Jukka & Orponen, Pekka: Exact and approximate
balanced data gathering in energy-constrained sensor networks. Theoretical Computer Science 344
(2005), 30-46.
Floréen, Patrik & Kaski, Petteri & Kohonen, Jukka & Orponen, Pekka: Lifetime maximization for
multicasting in energy-constrained wireless networks. IEEE Journal on Selected Areas in
Communications 23 (2005), 117-126.
Floréen, Patrik & Kaski, Petteri & Suomela, Jukka: A distributed approximation scheme for sleep
scheduling in sensor networks. To appear in Proceedings of the 4th Annual IEEE Communications
Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON, San
Diego, California USA June 2007).
Nurmi, Petteri & Przybilski, Michael & Lindén, Greger & Floréen, Patrik: An architecture for
distributed agent-based data preprocessing. Proceedings of the Workshop on Autonomous
Intelligent Systems: Agents and Data Mining (AIS-ADM 2005, St. Petersburg, Russia, 6-8 June
2005). Eds. V. Gorodetsky, J. Liu and V. A. Skormin, Lecture Notes in Computer Science 3505,
Springer-Verlag, Berlin, 2005, 123-133.
Falck, Emil & Floréen, Patrik & Kaski, Petteri & Kohonen, Jukka & Orponen, Pekka: Balanced
data gathering in energy-constrained sensor networks. Proceedings of the 1st International
Workshop on Algorithmic Aspects of Wireless Sensor Networks (Algosensors 2004, Turku, July
16, 2004). Lecture Notes in Computer Science 3121, Springer-Verlag, Berlin, 2004, 59-70.
Floréen, Patrik & Kaski, Petteri & Kohonen, Jukka & Orponen, Pekka: Multicast time
maximization in energy constrained wireless networks. Proceedings of the DIALM-POMC Joint
Workshop on Foundations of Mobile Computing (DIALM-POMC 2003 at MobiCom 2003, San
Diego, Sept. 19, 2003), ACM, 2003, 50-58.
Nokelainen, Petri & Miettinen, Miikka & Kurhila, Jaakko & Floréen, Patrik & Tirri, Henry: A
shared document-based annotation tool to support learner-centered collaborative learning. British
Journal of Educational Technology 36 (2005) 5, 757-770.
Floris Geerts
Geerts, Floris & Goethals, Bart & Mielikäinen, Taneli: Tiling Databases. The 7th International
Conference on Discovery Science (DS'04), 2004. LNAI 3245, 278-289.
Geerts, Floris & Mannila, Heikki & Terzi, Evimaria: Relational Link-Based Ranking. The 30th
International Conference on Very Large Data Bases (VLDB'04) , 2004, 552-563.
Eronen, Lauri & Geerts, Floris & Toivonen, Hannu: A Markov Chain Approach to Reconstruction
of Long Haplotypes. The 9th Pacific Symposium on Biocomputing (PSB'04), 2004, 104-115
Geerts, Floris & Goethals, Bart & Mielikäinen, Taneli: What You Store Is What You Get. The 2nd
International Workshop on Knowledge Discovery in Inductive Databases (KDID'03), 2003, 60-69.
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Aristides Gionis
Gionis, Aristides & Mannila, Heikki & Tsaparas, Panayoitis: Clustering aggregation. 21st
International Conference on Data Engineering (ICDE) 2005.
Afrati, Foto & Gionis, Aristides & Mannila, Heikki: Approximating a collection of frequent sets.
10th International Conference on Knowledge Discovery and Data Mining (KDD) 2004.
Bawa, Mayank & Garcia-Molina, Hector & Gionis, Aristides & Motwani, Rajeev: The price of
validity in dynamic networks. 23rd International Conference on Management of Data (SIGMOD)
2004.
Gionis, Aristides & Kujala, Teija & Mannila, Heikki: Fragments of orders. 9th International
Conference on Knowledge Discovery and Data Mining (KDD) 2003, pp. 129-136.
Gionis, Aristides & Mannila, Heikki: Finding recurrent sources in sequences. 7th International
Conference on Research in Computational Molecular Biology (RECOMB) 2003, pp. 123-130.
Datar, Mayur & Gionis, Aristides & Indyk, Piotr & Motwani, Rajeev: Maintaining Stream Statistics
over Sliding Windows. SIAM Journal on Computing, 31(6).
Haveliwala, Taher & Gionis, Aristides & Klein, Dan & Indyk, Piotr: Similarity Search on the Web:
Evaluation and Scalability Considerations. 11th International World Wide Web Conference 2002.
Bart Goethals
Geerts, Floris & Goethals, Bart & Van den Bussche, Jan: Tight upper bounds on the number of
candidate patterns. ACM Trans. on Database Systems, 30, 2 (2005), 333–363.
Calders, Toon & Goethals, Bart: Minimal k-Free Representations of Frequent Sets. Proceedings of
the International Conference on Principles of Data Mining and Knowledge Discovery (PKDD),
2003, 71–82.
Geerts, Floris & Goethals, Bart & Mielikäinen, Taneli: What You Store is What You Get.
Proceedings of the Second International Workshop on Inductive Databases, 2003, 60-69.
Goethals, Bart & Zaki, Mohammed Javeed: Advances in Frequent Itemset Mining Implementations.
ACM SIGKDD Explorations 6, 1 (2004), 109–117.
Goethals, Bart: Memory issues in frequent itemset mining. Proceedings of the 2004 ACM
Symposium on Applied Computing (SAC) 2004, 530–534.
Goethals, Bart & Laur, Sven & Lipmaa, Helger & Mielikäinen, Taneli: On private scalar product
computation for privacy-preserving data mining. In Choonsik Park and Seongtaek Chee (Eds.):
Proceedings of the 7th International Conference on Information Security and Cryptology – ICISC
2004, Seoul, Korea, December 2–3, 2004, Volume 3506 of Lecture Notes in Computer Science,
pages 104–120. Springer, 2005.
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Computer Science in Finland 2000-2006
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Geerts, Floris & Goethals, Bart & Mielikäinen, Taneli: Tiling Databases. The 7th International
Conference on Discovery Science (DS'04), 2004. LNAI 3245, 278-289.
Andrei Gurtov
Dmitry Korzun and Andrei Gurtov, On Scalability Properties of the Hi3 Control Planes, Elsevier
Computer Communications, 29(17):3591-3601, November 2006.
Tuomas Aura, Aarthi Nagarajan, Andrei Gurtov, Analysis of the HIP Base Exchange Protocol, in
Proc. of ACISP'05, July 2005.
Teemu Koponen, Andrei Gurtov and Pekka Nikander, Application Mobility with HIP, in Proc. of
ICT'05, May 2005.
H. Tschofenig, A. Gurtov, J. Ylitalo, A. Nagarajan, M. Shanmugam,
Traversing Middleboxes with the Host Identity Protocol, in Proc. of the 10th Australasian
Conference on Information Security and Privacy (ACISP), July 2005.
Miika Komu, Sasu Tarkoma, Jaakko Kangasharju and Andrei Gurtov, Applying a Cryptographic
Namespace to Applications, Proceedings of the 1st ACM workshop on Dynamic interconnection of
networks, 2005
D. Korzun, A. Gurtov, On Applying Linear Diophantine Equations to Route Modeling in SelfOrganizing Networks, Elektrosvyaz, 6:34-38, June 2006. ISSN 0013-5771.
A. Gurtov, A. D. Joseph, Friends or Rivals: Insights from Integrating HIP and i3, Workshop on HIP
and Related Architectures, November 2004
Pekka Himanen
“The Hacker Ethic as the Culture of the Informational Economy” in Castells, Manuel (ed.), The
Network Society: A Global Perspective. Edward Elgar, 2004.
“Comparison of Silicon Valley and Finnish Models of the Information Society” (with Manuel
Castells) in Castells, Manuel (ed.), The Network Society: A Global Perspective. Edward Elgar,
2004.
“The Nordic Model of Information Society: The Case of Finland” in Palme, Joakim and Kangas,
Olli (eds.) Social Policy in Late Industrializers: The Nordic Countries. United Nations Research
Institute for Social Development, 2004.
“Managing the Culture of Innovation” (with Matti Alahuhta) in Harvard Business Review
(forthcoming).
“The E-Welfare State: The Public Culture of Innovation” (with Antti Hautamäki). Berkeley Center
for Information Society Working Papers, 2004.
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Computer Science in Finland 2000-2006
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“The Social Web” (with Jerome Feldman and Steve Weber). Berkeley Center for Information
Society Working Papers, 2003.
The Challenges of Finland: The Global Information Society Development and Finland (Suomen
haasteet: Globaali tietoyhteiskuntakehitys ja Suomi). Helsinki: The National Technology Agency,
2004.
Jaakko Hollmén
Wikman, Harriet & Kettunen, Eeva & Seppänen, Jouni K. & Karjalainen, Antti & Hollmén, Jaakko
& Anttila, Sisko & Knuutila, Sakari: Identification of differentially expressed genes in pulmonary
adenocarcinoma by using a cDNA array. Oncogene, 21(37):5804-5813, 2002. Nature Publishing
Group.
Kettunen, Eeva & Anttila, Sisko & Seppänen, Jouni K. & Karjalainen, Antti & Edgren, Henrik &
Lindström, Irmeli & Salovaara, Reijo & Nissén, Anna-Maria & Salo, Jarmo & Mattson, Karin &
Hollmén, Jaakko & Knuutila, Sakari & Wikman, Harriet: Differentially expressed genes in
nonsmall cell lung cancer: expression profiling of cancer-related genes in squamous cell lung
cancer. Cancer Genetics and Cytogenetics, 149(2):98-106, 2004.
Luyssaert, Sebastiaan & Sulkava, Mika & Raitio, Hannu & Hollmén, Jaakko: Evaluation of forest
nutrition based on large-scale foliar surveys: are nutrition profiles the way of the future? Journal of
Environmental Monitoring, 6(2):160-167, 2004.
Wikman, Harriet & Seppänen, Jouni K. & Sarhadi, Virinder K. & Kettunen, Eeva & Salmenkivi,
Kaisa & Kuosma, Eeva & Vainio-Siukola, Katri & Nagy, Balint & Karjalainen, Antti & Sioris,
Thanos & Salo, Jarmo & Hollmén, Jaakko & Knuutila, Sakari & Anttila, Sisko: Caveolins as tumor
markers in lung cancer detected by combined use of cDNA and tissue microarrays. Journal of
Pathology, 203:584-593, 2004.
Gopalacharyulu, Peddinti V. & Lindfors, Erno & Bounsaythip, Catherine & Kivioja, Teemu &
Yetukuri, Laxman & Hollmén, Jaakko & Oresic, Matej; Data integration and visualization system
for enabling conceptual biology. Bioinformatics, 21(Suppl.1):i177-i185, 2005.
Luyssaert, Sebastiaan & Sulkava, Mika & Raitio, Hannu & Hollmén, Jaakko: Are N and S
deposition altering the chemical composition of Norway spruce and Scots pine needles in Finland?
Environmental Pollution, 138(1):5-17, 2005.
Sulkava, Mika & Tikka, Jarkko & Hollmén, Jaakko: Sparse regression for analyzing the
development of foliar nutrient concentrations in coniferous trees. Ecological Modeling, 191(1):118130, 2006.
Patrik Hoyer
Shimizu, Shohei & Hoyer, Patrik, O. & Hyvärinen, Aapo & Kerminen, Antti, J.: A linear nongaussian acyclic model for causal discovery. Journal of Machine Learning Research 7:2003-2030,
2006.
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Computer Science in Finland 2000-2006
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Hoyer, Patrik, O.: Non-negative Matrix Factorization with sparseness constraints. Journal of
Machine Learning Research, 5, pp. 1457-1469, 2004.
Vicente, Asun & Hoyer, Patrik, O. & Hyvärinen, Aapo: Equivalence of some common linear
feature extraction techniques for appearance-based object recognition tasks. IEEE Transactions on
Pattern Analysis and Machine Intelligence, in press.
Hoyer, Patrik, O. & Shimizu, Shohei & Kerminen, Antti, J.: Estimation of linear, non-gaussian
causal models in the presence of confounding latent variables. In Proc. Third European Workshop
on Probabilistic Graphical Models (PGM'06), pp. 155-162, Prague, Czech Republic, 2006.
Shimizu, Shohei & Hyvärinen, Aapo, P.O. & Hoyer Kano, Yutaka: Finding a causal ordering via
independent component analysis. Computational Statistics & Data Analysis 50 (11): 3278-3293,
2006.
Hyvärinen, Aapo & Gutmann, Michael &Hoyer, Patrik. O.: Statistical model of natural stimuli
predicts edge-like pooling of spatial frequency channels in V2. BMC Neuroscience, 6 (12), 2005.
Shimizu, Shohei & Hyvärinen, Aapo & Kano, Yutaka & Hoyer, Patrik, O.: Discovery of nongaussian linear causal models using ICA. In Proceedings of the 21st Conference on Uncertainty in
Artificial Intelligence (UAI-2005), pp. 526-533, 2005.
Jarmo Hurri
Hurri, Jarmo: Learning Cue-Invariant Visual Responses. Advances in Neural Information
Processing Systems, volume 18, edited by Y. Weiss, B. Schölkopf and J. Platt. The MIT Press,
2006.
Bas, Patrick & Hurri, Jarmo: Vulnerability of DM watermarking of non-iid host signals to attacks
utilising the statistics of independent components. IEE Proceedings - Information Security 153, 3
(2006), 127-139.
Lindgren, Jussi & Hurri, Jarmo & Hyvärinen, Aapo. The statistical properties of local log-contrast
in natural images. Proceedings of the 15th Scandinavian Conference on Image Analysis, accepted,
2007.
Bas, Patrick & Hurri Jarmo. Security of DM quantization watermarking schemes: A practical study
for digital images. Proceedings of the International Workshop on Digital Watermarking, edited by
M. Barni, I. Cox, T. Kalker and H. J. Kim. Springer, 2005.
Hyvärinen, Aapo & Hoyer, Patrik & Hurri, Jarmo & Michael Gutmann: Statistical models of
images and early vision. Proceedings of the International and Interdisciplinary Conference on
Adaptive Knowledge Representation and Reasoning, edited by T. Honkela, V. Könönen, M. Pöllä
and O. Simula, Olli. Helsinki University of Technology, 2005.
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Aapo Hyvärinen
Hyvärinen, Aapo: Estimation of non-normalized statistical models using score matching. Journal of
Machine Learning Research, 6, pp. 695-709, 2005.
Shimizu, Shohei & Hoyer, Patrik. O. & Hyvärinen, Aapo & Kerminen, Antti. A linear nongaussian
acyclic model for causal discovery. J. of Machine Learning Research 7:2003-2030, 2006.
Himberg, Johan & Hyvärinen, Aapo & Esposito, Fabrizio: Validating the independent components
of neuroimaging time-series via clustering and visualization. NeuroImage, 22 (3), pp. 1214-1222,
2004.
Hyvärinen, Aapo & Hurri, Jarmo. Blind separation of sources that have spatiotemporal variance
dependencies. Signal Processing, 84(2):247?254, 2004.
Hyvärinen, Aapo & Gutmann, Michael & Hoyer, Patrik, O.. Statistical model of natural stimuli
predicts edge-like pooling of spatial frequency channels in V2. BMC Neuroscience, 6(12), 2005.
Hyvärinen, Aapo. A unifying model for blind separation of independent sources. Signal Processing,
85(7):1419?1427, 2005.
Esposito, Fabrizio & Scarabino, Tommaso & Hyvärinen, Aapo & Himberg, Johan & Formisano,
Elia & Comani, Silvia & Tedeschi, Giaocchino & Goebel, Rainer & Seifritz, Erich & Di Salle,
Francesco: Independent component analysis of fMRI group studies by self-organizing clustering.
NeuroImage, 25(1):193?205, 2005.
Saara Hyvönen
Hyvönen, Saara & Junninen, Heikki & Laakso, Lauri & Dal Maso, Miikka & Grönholm, Tiia &
Bonn, Boris & Keronen, Petri & Aalto, Pasi & Hiltunen, Veijo & Pohja, Petri & Launiainen,
Samuli & Hari, Pertti & Mannila, Heikki & Kulmala, Markku: A look at aerosol formation using
data mining techniques. Atmospheric Chemistry and Physics, Vol. 5, pp 3345-3356, 14-12-2005.
Hyvönen, Saara, & Leino, Antti & Salmenkivi, Marko: Multivariate Analysis of Finnish Dialect
Data - an overview of lexical variation. To appear in Literary and Linguistic Computing.
Leino, Antti & Hyvönen, Saara & Salmenkivi, Marko: Mitä murteita Suomessa onkaan?
Murresanaston levikin kvantitatiivista analyysiä. Virittäjä 1/2006, 26-45.
Toivonen, Hannu & Hyvönen, Saara & Sevon, Petteri: Combining phenotypic and genotypic data to
discover multiple disease genes. Symposium on Knowledge Representation in Bioinformatics
(KRBIO'05), 7-14, Espoo, Finland, June 2005.
Hyvönen, Saara & Junninen, Heikki & Laakso, Lauri & Dal Maso, Miikka & Grönholm, Tiia &
Bonn, Boris & Keronen, Petri & Aalto, Pasi & Hiltunen, Veijo & Pohja, Petri & Launiainen,
Samuli & Tunved, Peter & Hanssen, HC & Hari, Pertti & Mannila, Heikki & Kulmala, Markku:
Data mining approaches to explaining aerosol formation. In: Voinov, A., Jakeman, A., Rizzoli, A.
(eds). Proceedings of the iEMSs Third Biennial Meeting: "Summit on Environmental Modelling
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and Software". International Environmental Modelling and Software Society, Burlington, USA,
July 2006. CD ROM. Internet: http://www.iemss.org/iemss2006/sessions/all.html
Salmenkivi, Marko & Hyvönen, Saara & Leino, Antti & Tuominen, Heikki: Computational survey
of clustering in Finnish place name elements. In: Proceedings of the twenty-second International
Congress of Onomastic Sciences (ICOS XXII), Pisa, Italy, August-September 2005. To appear.
Grönholm, Tiia & Hiltunen, Veijo & Laakso, Lauri & Aalto, Pasi P.& Rinne, Janne & Hyvönen,
Saara & Rannik, Ullar & Kulmala, Markku: Measurements of aerosol particle dry deposition
velocities using relaxed eddy accumulation technique. To appear in Tellus.
Tommi Ilmonen
Ilmonen, Tommi, Tools and Experiments on Multimodal Interaction, Doctoral Thesis, Espoo,
Finland, 2006.
Ilmonen, Tommi & Lokki, Tapio. Extreme Filters — Cache-Efficient Implementation of High
Order IIR and FIR Filters. In IEEE Signal Processing Letters 13(7), Editor –in-Chief: Gershman, B.
2006.
Jacucci, Giulio & Oulasvirta, Antti & Ilmonen, Tommi & Evans, John & Salovaara, Antti.
CoMedia: Mobile Group Media for Active Spectatorship. Accepted to CHI2007, 28 April - 3 May,
2007 San Jose, USA, ACM Press, 2007.
Ilmonen, Tommi & Takala, Tapio & Laitinen, Juha. Collision Avoidance and Surface Flow for
Particle Systems Using Distance/Normal Grid. In Full Papers Proceedings of the Winter School on
Computer Graphics, Editors: Joaquim Jorge and Vaclav Skala, Plzen, Czech Republic, 2006.
Ilmonen, Tommi & Takala, Tapio & Laitinen, Juha. Soft Edges and Burning Things — Enhanced
Real-Time Rendering of Particle Systems. In Full Papers Proceedings of the Winter School on
Computer Graphics, Editors: Joaquim Jorge and Vaclav Skala, Plzen, Czech Republic, 2006.
Mika Inki
Inki, Mika: Least mean square covariance transformations and generalized orthogonalization.
Submitted manuscript.
Giulio Jacucci
Macaulay, C., G. Jacucci, S. O'Neill, T. Kankaineen and M. Simpson. The emerging roles of
performance within HCI and interaction design. In Interacting with Computers, 6 (2006), Elsevier,
pp.942-955.
Jacucci, G.; Oulasvirta, A.; Salovaara, A.: Active construction of experience through multimedia: a
field study with implications for recording and sharing. Personal and Ubiquitous Computing, 2006.
http://dx.doi.org/10.1007/s00779-006-0084-5
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Jacucci, G., Oulasvirta, A., Ilmonen, T., Evans, J., Salovaara, A., (2007) CoMedia: Mobile Group
Media for Active Spectatorship. Accepted to CHI2007, 28 April - 3 May, 2007 San Jose, USA,
ACM Press.
Salovaara, A., Jacucci, G., Oulasvirta, A., Kanerva, P., Kurvinen, E., Tiitta, S., (2006) Collective
creation and sense-making of mobile media, Proceedings of the SIGCHI conference on Human
Factors in Computing Systems, Montréal, Québec, Canada. ACM Press, Pp: 1211 – 1220.
Jacucci, G., Wagner, I. (2005) Performative Uses of Space in Mixed Media Environments. In:
Davenport, E., Turner P., Spaces, Spatiality and Technologies, Springer, London, 2005.
Jacucci, G., Linde, P., Wagner, I., (2005) Exploring relationships between learning, artifacts,
physical space, and computing. In Digital Creativity Journal, 2005, Vol. 16, No. 1, pp. 19–30.
Jacucci Giulio, Oulasvirta, A., Salovaara, A., Psik, T., Wagner, I., (2005) Augmented Reality
Painting and Collage: Evaluating Tangible Interaction in a Field Study. Tenth IFIP TC13
International Conference on Human-Computer Interaction, Rome, September 2005.
Matti Kääriäinen
Kääriäinen, Matti: Generalization error bounds using unlabeled data. In Learning Theory: 18th
Annual Conference on Learning Theory, COLT '05 (pp. 127-142). Springer, 2005.
Kääriäinen, Matti: Active Learning in the Non-realizable Case. In Algorithmic Learning Theory,
ALT 2006 (pp. 63-77). LNCS 4264. Springer, 2006.
Kääriäinen, Matti & Langford, John: A comparison of tight generalization error bounds. In The
22nd International Conference on Machine Learning (ICML 2005).
Kääriäinen, Matti & Malinen, Tuomo & Elomaa, Tapio: Selective Rademacher penalization and
reduced error pruning of decision trees. Journal of Machine Learning Research, volume 5: 11071126, 2004.
Nock, Richard & Elomaa, Tapio & Kääriäinen, Matti: Reduced Error Pruning of Branching
Programs Cannot Be Approximated to within a Logarithmic Factor. Information Processing Letters
87, 2 (2003) 73-78.
Elomaa, Tapio & Kääriäinen, Matti: Progressive Rademacher sampling. Proc. 18th National
Conference on Artificial Intelligence, AAAI-2002 (pp. 140-145). AAAI Press & MIT Press, 2002.
Elomaa, Tapio & Kääriäinen, Matti: An analysis of reduced error pruning. Journal of Artificial
Intelligence Research 15 (Sept. 2001) 163-187.
Petteri Kaski
Björklund, Andreas & Husfeldt, Thore & Kaski, Petteri & Koivisto: Mikko: Fourier meets Möbius:
fast subset convolution, Proceedings of the 39th ACM Symposium on Theory of Computing (San
Diego, CA, June 11-13, 2007), to appear.
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Kaski, Petteri & Östergård, Patrik, R. J.: Classification Algorithms for Codes and Designs,
Springer-Verlag, Berlin Heidelberg, 2006.
Greig, Malcolm &. Haanpää, Harri & Kaski, Petteri: On the coexistence of conference matrices and
near resolvable 2-(2k+1,k,k-1) designs, Journal of Combinatorial Theory, Series A 113 (2006), 703711.
Kaski, Petteri & Östergård, Patrik &. J. & Pottonen, Olli: The Steiner quadruple systems of order
16, Journal of Combinatorial Theory, Series A 113 (2006), 1764-1770.
Kaski, Petteri & Östergård, Patrik, R. J.: There are exactly five biplanes with k=11, Journal of
Combinatorial Designs, to appear.
T. Junttila & Kaski, Petteri: Engineering an efficient canonical labeling tool for large and sparse
graphs, Proceedings of ALENEX07 Workshop on Algorithm Engineering and Experiments (New
Orleans, January 6, 2007), to appear.
Floréen, Patrik & Kaski, Petteri & Suomela, Jukka: A distributed approximation scheme for sleep
scheduling in sensor networks, Proceedings of the 4th Annual IEEE Communications Society
Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (San Diego, CA, June
18-21, 2007), to appear.
Jukka Kemppinen
Kemppinen, Jukka Digitaaliongelma - Kirjoitus oikeudesta ja ympäristöstä. Lappeenranta 2006,
Lappeenranta University of Technology. 502 pp.
Martikainen, Petri (editor); Karila, Arto; Kemppinen, Jukka; Kontiainen, Mikko; Kurvinen, Esko;
Mäntylä, Martti; Oulasvirta, Antti; Pitkänen, Olli; Raento, Mika; Salovaara, Antti; Sarkio, Katri;
Sarvas, Risto; Turpeinen, Marko; Virtanen, Perttu Towards Ubiquitous Network Society. Helsinki:
Tietotekniikan tutkimuslaitos HIIT, 2006. 96 pp. (HIIT Report Series 2006-3).
Pitkänen, Olli; Mäntylä, Martti; Välimäki, Mikko; Kemppinen, Jukka Assessing Legal Challenges
on the Mobile Internet. International Journal of Electronic Commerce, 2003. Vol. 8, No. 1, 101-120.
Pitkänen, Olli; Välimäki, Mikko; Kemppinen, Jukka; Mäntylä, Martti Assessing Legal Challenges
on the Mobile Web. First International Conference of Mobile Business, Athens, Greece, July 2002.
Mikko Koivisto
Koivisto, Mikko. An O(2^n) algorithm for graph coloring and other partitioning problems via
inclusion-exclusion. Proceedings of the 47th Annual IEEE Symposium on Foundations of
Computer Science (FOCS 2006), pp. 583-590, IEEE Computer Society, 2006.
Björklund, Andreas & Husfeldt, Thore & Kaski, Petteri & Mikko Koivisto. Fourier meets Möbius:
fast subset convolution. 39th ACM Symposium on Theory of Computing (STOC 2007), to appear.
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Koivisto, Mikko & Sood, Kismat: Exact Bayesian structure discovery in Bayesian networks.
Journal of Machine Learning Research, 5 (2004), 549-573.
Koivisto, Mikko & Perola, Markus & Varilo, Teppo & Hennah, William & Ekelund, Jesper &
Lukk, Margus & Peltonen, Leena & Ukkonen, Esko & Mannila, Heikki. An MDL method for
finding haplotype blocks and for estimating the strength of haplotype block boundaries. Pacific
Symposium on Biocomputing 2003 (PSB 2003), edited by R.B. Altman, A.K. Dukner, L. Hunter,
T.A. Jung and T.E. Klein, pp. 502-513. World Scientific, 2002.
Koivisto, Mikko & Mannila, Heikki: Offspring risk and sibling risk for multilocus traits. Human
Heredity, 51 (2001), 209-216.
Rastas, Pasi & Koivisto, Mikko & Mannila, Heikki & Ukkonen, Esko. A hidden Markov technique
for haplotype reconstruction. Algorithms in Bioinformatics: 5th International Workshop (WABI
2005), edited by R. Casadio and G. Myers. LNCS 3692, pp. 140-151, Springer, 2005.
Koivisto, Mikko. Parent assignment is hard for the MDL, AIC, and NML costs. The 19th Annual
Conference on Learning Theory (COLT 2006), edited by G. Lugosi and H.U. Simon. LNAI 4005,
pp. 289-303, Springer, 2006.
Greger Lindén
Nurmi, Petteri & Przybilski, Michael & Lindén, Greger & Floréen, Patrik: An architecture for
distributed agent-based data preprocessing. In proceedings of the Autonomous Intelligent Systems:
Agents and Data Mining Workshop (AIS-ADM 2005), No. 3505 in Series Lecture Notes in
Artificial Intelligence, V. Gorodetsky, J. Liu and V.A. Skormin (eds.), 123 - 133, Springer-Verlag,
2005.
Nurmi, Petteri & Floréen, Patrik & Przybilski, Michael & Lindén, Greger: A Framework for
Distributed Activity Recognition in Ubiquitous Systems Proceedings of the International
Conference on Artificial Intelligence, Las Vegas, 27 - 30 June, 2005.
Lehtonen, Miro & Petit, Renaud & Heinonen, Oskari & Lindén, Greger: A Dynamic User Interface
for Document Assembly. In Proceedings of the ACM Symposium on Document Engineering
(DocEng'02), 134-141. ACM Press, 2002.
Heikki Mannila
Hand, David, J. & Mannila, Heikki & Smyth, Padhraic: Principles of Data Mining. MIT Press 2001
Chinese translation, China Machine Press, ISBN 7-111-11577-5, 2003. Polish translation
"Eksploracja danych", Wydawnictwa Naukowo-Techniczne, ISBN 83-204-3053-4, 2005.
Gunopulos, Dimitrios & Khardon, Roni & Mannila, Heikki & Saluja, Sanjeev & Toivonen, Hannu
& Sharma, Ram Shewak: Discovering all most specific sentences. ACM Transactions on Database
Systems 28 (2): 140 - 174, June 2003.
Fortelius, Mikael & Gionis, Aristides & Jernvall, Jukka & Mannila, Heikki: Spectral Ordering and
Biochronology of European Fossil Mammals, Paleobiology 32, 2, 206-214, 2006.
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Gionis, Aristides & Mannila, Heikki & Mielikäinen, Taneli & Tsaparas, Panayoitis: Assessing Data
Mining Results via Swap Randomization, 12th International Conference on Knowledge Discovery
and Data Mining (KDD) 2006, 167-176.
Han, Jiawei & Altman, Russ B. & Kumar, Vipin & Mannila, Heikki, Pregibon, Daryl: Emerging
Scientific Applications in Data Mining. Communications of the ACM 45, 8 (August 2002), 54-58.
Gionis, Aristides & Mannila, Heikki & Tsaparas, Panayoitis: Clustering aggregation, In 21st
International Conference on Data Engineering (ICDE) 2005, 341-352; journal version to appear in
ACM Transactions on Knowledge discovery from Data (TKDD).
Geerts, Floris & , Mannila, Heikki & Terzi, Evimaria: Relational link-based ranking . The 30th
International Conference on Very Large Data Bases (VLDB'04), 2004, 552-563.
Martti Mäntylä
Olli Pitkänen, Martti Mäntylä, Mikko Välimäki, and Jukka Kemppinen: Assessing Legal
Challenges on the Mobile Internet. International Journal of Electronic Commerce, Vol. 8, nr 1, 101120, Fall 2003.
Matti Rantanen, Antti Oulasvirta, Jan Blom, Sauli Tiitta, and Martti Mäntylä, M. InfoRadar: Group
and public messaging in mobile context. Proc. NordiCHI’04, November 2004, Tampere, Finland.
Sari Kujala and Martti Mäntylä. Is User Involvement Harmful or Useful in the Early Stages of
Product Development? Proc. CHI'2000 Conference, The Hague, The Netherlands, 1-6 April. U.S.A.
2000, ACM Press, pp. 285-286.
Pekka Isto, Juha Tuominen, and Martti Mäntylä: Adaptive Strategies for Probabilistic Roadmap
Construction. 2003 International Conference on Advanced Robotics. 682-687, 2003.
Sari Kujala and Martti Mäntylä. How Effective Are User Studies? HCI'2000, Sunderland, UK, 6-8
September, 2000. GB 2000, Springer, pp. 61-71.
Katri Sarkio and Martti Mäntylä, Is Your Neighbor a Traitor? Distributed Reputation Management
in Member-Initiated Virtual Communities. HIIT Technical Report 2006-1, March 2006.
Alex G. Büchner, Mervi Ranta, John G. Hughes, and Martti Mäntylä. Semantic information
mediation among multiple product ontologies. Presented at the Fifth World Conference on
Integrated Design and Process Technology, Dallas, Texas, June 4–8, 2000.
Taneli Mielikäinen
Gionis, Aristides & Mannila, Heikki & Mielikäinen, Taneli & Tsaparas, Panayiotis: Assessing data
mining results via swap randomization. In Mark Craven and Dimitrios Gunopulos (Eds.):
Proceedings of the Twelfth Annual SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD 2006), Philadelphia, USA, August 20–23, 2006. ACM, 2006.
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Goethals, Bart & Laur, Sven & Lipmaa, Helger & Mielikäinen, Taneli: On private scalar product
computation for privacy-preserving data mining. In Choonsik Park and Seongtaek Chee (Eds.):
Proceedings of the 7th International Conference on Information Security and Cryptology – ICISC
2004, Seoul, Korea, December 2–3, 2004, Volume 3506 of Lecture
Notes in Computer Science, pages 104–120. Springer, 2005.
Mielikäinen, Taneli: Frequency-based views to pattern collections. Discrete Applied Mathematics
154(7), pages 1113–1139. Elsevier, 2006.
Mielikäinen, Taneli & Ravantti, Janne & Ukkonen, Esko: The computational complexity of
orientation search in cryo-electron microscopy. In Marian Bubak, G. Dick van Albada, Peter M. A.
Sloot, and Jack J. Dongarra (Eds.): Computational Science – ICCS 2004: 4th International
Conference, Krakow, Poland, June 6–9, 2004, Proceedings, Part I. Volume 3036 of Lecture Notes
in Computer Science, pages 231–238. Springer, 2004.
Mielikäinen, Taneli & Terzi, Evimaria & Tsaparas, Panayiotis: Aggregating Time Partitions. In
Mark Craven and Dimitrios Gunopulos (Eds.): Proceedings of the Twelfth Annual SIGKDD
International Conference on Knowledge Discovery and Data Mining (KDD 2006), Philadelphia,
USA, August 20–23, 2006. ACM, 2006.
Mielikäinen, Taneli & Ukkonen, Esko: The complexity of maximum matroid-greedoid intersection
and weighted greedoid maximization. Discrete Applied Mathematics 154(4), pages 684–691.
Elsevier, 2006.
Rantanen, Ari & Mielikäinen, Taneli & Rousu, Juho & Maaheimo, Hannu & Ukkonen, Esko:
Planning optimal measurements of isotopomer distributions for estimation of metabolic fluxes.
Bioinformatics 22(10):1198–1206. Oxford University Press, 2006.
Petri Myllymäki
Kontkanen, Petri & P. Myllymäki: MDL Histogram Density Estimation. In Proceedings of the
Eleventh International Conference on Artificial Intelligence and Statistics, Puerto Rico, March
2007.
Kontkanen, Petri & Myllymäki, Petri & Buntine, Wray & Rissanen, Jorma & Tirri, Henry: An
MDL Framework for Data Clustering. In Advances in Minimum Description Length: Theory and
Applications, edited by P. Grünwald, I.J. Myung and M. Pitt. The MIT Press, 2005.
Roos, Teemu & Wettig, Hannes & Grünwald, Peter & Myllymäki, Petri & Tirri, Henry: On
Discriminative Bayesian Network Classifiers and Logistic Regression. Machine Learning 59
(2005):3, pp. 267-296.
Roos, Teemu & Grünwald, Peter & Myllymäki, Petri & Tirri, Henry: Generalization to Unseen
Cases. In Proceedings of the 19th Annual Conference on Neural Information Processing Systems
(NIPS 2005). MIT Press, 2006.
Kontkanen, Petri & Myllymäki, Petri & Roos, Teemu & Tirri, Henry & Valtonen, Kimmo &
Wettig, Hannes: Probabilistic Methods for Location Estimation in Wireless Networks. Chapter 11
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in Emerging Location Aware Broadband Wireless Adhoc Networks, edited by R.Ganesh, S.Kota,
K.Pahlavan and R.Agusti. Kluwer Academic Publishers, 2004
Silander, Tomi & Myllymäki, Petri: A Simple Approach for Finding the Globally Optimal Bayesian
Network Structure. Pp. 445-452 in Proceedings of the 22nd Conference on Uncertainty in Artificial
Intelligence (UAI-2006), edited by R. Dechter and T. Richardson. AUAI Press, 2006.
Myllymäki, Petri & Silander, Tomi & Tirri, Henry & Uronen, Pekka: B-Course: A Web-Based Tool
for Bayesian and Causal Data Analysis. International Journal on Artificial Intelligence Tools, Vol.
11 (2002), No. 3, 369-387.
Pekka Nikander
Tuomas Aura, Pekka Nikander, and Jussipekka Leiwo, "DOS-resistant Authentication with Client
Puzzles," in Christianson, Malcolm, Crispo, and Roe (Eds.) Security Protocols, 8th International
Workshop, Cambridge, UK, April 3-5, 2000; revised papers, LNCS 2133, pp. 170-177, Springer
2001.
Robert Moskowitz and Pekka Nikander, “Host Identity Protocol (HIP) Architecture”, RFC 4423,
Internet Engineering Task Force, May 2006.
Pekka Nikander, Jukka Ylitalo, and Jorma Wall, "Integrating Security, Mobility, and Multi-Homing
in a HIP Way," in Proceedings of Network and Distributed Systems Security Symposium (NDSS'03),
February 6-7, 2003, San Diego, CA, pp. 87-99, Internet Society, February, 2003.
Tuomas Aura, Pekka Nikander, and Gonzalo Camarillo, "Effects of Mobility and Multihoming on
Transport-Layer Security," in Proceedings of IEEE Symposium on Security and Privacy,
Berkeley/Oakland, California, May 9-12, 2004, IEEE Computer Society.
Pasi Eronen and Pekka Nikander, "Decentralized Jini Security," in Proceedings of Network and
Distributed System Security 2001 (NDSS2001), San Diego, California, February 8-9, pp. 161-172,
2001.
Pekka Nikander and Kristiina Karvonen, "Users and Trust in Cyberspace," in Christianson,
Malcolm, Crispo and Roe (Eds.) Security Protocols, 8th International Workshop, Cambridge, UK,
April 3-5, 2000; revised papers, LNCS 2133, pp. 24-35, Springer 2001.
Pekka Nikander, "Denial-of-Service, Address Ownership, and Early Authentication in the IPv6
World," in Security Protocols, 9th International Workshop, Cambridge, UK, April 25-27 2001,
LNCS 2467, pp. 12-26, Springer 2002.
Päivi Onkamo
Onkamo, Päivi & Ollikainen, Vesa & Sevon, Petteri & Toivonen, Hannu & Mannila, Heikki &
Kere, Juha. Association analysis for quantitative traits by data mining: QHPM. Annals of Human
Genetics 66 (2002), 419-429.
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Paunu, Niina & Lahermo, Päivi & Onkamo, Päivi & Ollikainen, Vesa & Rantala, Immo & Helén,
Pauli & Simola, Kalle O. J. & Kere, Juha & Haapasalo, Hannu. A novel low-penetrance locus for
familial glioma at 15q23-q26.3. Cancer Research 62 (2002), 3798-3802.
Koskenmies, Sari & Widen, Elisabeth & Onkamo, Päivi & Sevon, Petteri & Julkunen, Heikki &
Kere, Juha. Haplotype associations define target regions for susceptibility loci in systemic lupus
erythematosus. European Journal of Human Genetics 12, 6 (2004), 489 - 494.
Peyrard-Janvid, Myriam & Anthoni, Heidi & Onkamo, Päivi & Lahermo, Päivi & Zucchelli, Marco
& Kaminen, Nina & Hannula-Jouppi, Katariina & Nopola-Hemmi, Jaana & Voutilainen, Arja &
Lyytinen, Heikki & Kere, Juha. Fine mapping of the 2p11 dyslexia locus and exclusion of TACR1
as a candidate gene. Human Genetics 114, 5 (2004), 510-516.
Pitkäniemi, Janne & Onkamo, Päivi & Tuomilehto, Jaakko & Arjas, Elja. Increasing incidence of
type I diabetes - role for genes? [electronic]. BMC Medical Genetics 5, 5 (2004).
Sevon, Petteri & Toivonen, Hannu T. T. & Onkamo, Päivi. Gene Mapping by Pattern Discovery:
chapter 6. Data mining in bioinformatics. Springer 2004, 105-126.
Antti Oulasvirta
Oulasvirta, A., & Saariluoma, P. (2006). Surviving task interruptions: Investigating the implications
of long-term working memory theory. International Journal of Human-Computer Studies, 64 (10),
941-961.
Oulasvirta, A., Petit, R., Raento, M., & Tiitta, S. (2007). Inferring and acting upon mobile
awareness cues. Human-Computer Interaction, 22 (1).
Miettinen, M., & Oulasvirta, A. (accepted, under revision). Predicting time-sharing in mobile
interaction. User Modeling and User-Adapted Interaction (UMUAI).
Tamminen, S., Oulasvirta, A., Toiskallio, K., & Kankainen, A. (2004). Understanding mobile
contexts. Personal and Ubiquitous Computing, 8 (2), 135-143.
Oulasvirta, A. & Sumari, L. (2007). Mobile kits and laptop trays: Managing multiple devices in
mobile information work. Proceedings of CHI 2007.
Oulasvirta, A., Tamminen, S., Roto, V., and Kuorelahti, J. (2005). Interaction in 4-second bursts:
The fragmented nature of attentional resources in mobile HCI. Proceedings of CHI 2005, ACM
Press, New York, pp. 919-928.
Oulasvirta, A. (2004). Finding meaningful uses for context-aware technologies: The humanistic
research strategy. Proceedings of CHI 2004, ACM Press, New York, pp. 247-254.
Olli Pitkänen
Pitkänen, O., Niemelä, M. "Privacy and Data Protection in Emerging RFID-Applications",
Proceedings of the EU RFID Forum 2007, Brussels, Belgium, 13-14 March, 2007.
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Pitkänen, O., Virtanen, P., Kemppinen, J. "Legal Research Topics in Customer-Oriented Services",
in review, tentatively accepted for publication in IBM Systems Journal.
Pitkänen O. "Legal Research Topics within Services Sciences", CASCON 2006, Toronto, Canada,
2006.
Pitkänen O. "Technology-Based Research Agenda on the Data Protection Law", International
Conference on Law and Technology (LawTech 2006), Cambridge, MA, USA, 2006.
Pitkänen O.: "Legal Challenges to Future Information Businesses", Doctoral thesis at Helsinki
University of Technology, Department of Computer Science and Engineering, HIIT Publications
2006-1, Helsinki Institute for Information Technology HIIT, 2006.
Abie, H., Foyn, B., Bing, J., Blobel, B., Pharow, P., Delgado, J., Karnouskos, S., Pitkänen, O. and
Tzovaras, D. "The need for a digital rights management framework for the next generation of egovernment services", Electronic Government, No. 1, pp. 8-28, 2004.
Pitkänen O., Mäntylä M., Välimäki M., Kemppinen J.: "Assessing Legal Challenges on the Mobile
Internet", International Journal of Electronic Commerce, Fall 2003, Vol. 8, No. 1, pp. 101-120,
2003.
Kai Puolamäki
Puolamäki Kai & Fortelius, Mikael & Mannila, Heikki: Seriation in Paleontological Data Using
Markov Chain Monte Carlo Methods. PLoS Computational Biology 2, 2 (2006): e6.
Puolamäki, Kai, Salojärvi, Jarkko, Savia E, Simola J, Kaski, Sami: Combining Eye Movements and
Collaborative Filtering for Proactive Information Retrieval. In Proceedings of the 28th annual
international ACM SIGIR conference on Research and development in information retrieval (SIGIR
2005), 146-153. ACM Press, New York, NY, USA.
Salojärvi, Jarkko & Puolamäki, Kai & Kaski, Sami: Expectation Maximization Algorithms for
Conditional Likelihoods. In Proceedings of the 22nd international conference on Machine learning
(ICML 2005), 752-759. ACM Press, New York, NY, USA.
Gionis Aristides & Mannila Heikki & Puolamäki, Kai & Ukkonen, Antti: Algorithms for
Discovering Bucket Orders from Data. In Proceedings of the 12th ACM SIGKDD international
conference on Knowledge discovery and data mining (pp. 561-566). ACM Press, New York, NY,
USA.
Savia Eerika & Puolamäki, Kai & Sinkkonen Janne & Kaski, Sami: Two-Way Latent Grouping
Model for User Preference Prediction. In Proceedings of the 21st Conference on Uncertainty in
Artificial Intelligence (UAI) 2005, 518-525.
Salojärvi, Jarkko & Puolamäki, Kai & Kaski, Sami: On Discriminative Joint Density Modeling.
Lecture Notes in Computer Science 3720/2005, 341-352. In Proceedings of the 16th European
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Conference on Machine Learning (ECML 2005), Porto, Portugal, October 3-7, 2005. Springer
Berlin/Heidelberg.
Salojärvi, Jarkko & Puolamäki, Kai & Kaski, Sami: Implicit Relevance Feedback from Eye
Movements. Lecture Notes in Computer Science 3696/2005, 513-518. In Proceedings of the 15th
International Conference on Artificial Neural Networks: Biological Inspirations (ICANN 2005),
Warsaw, Poland, September 11-15, 2005, Part I. Springer Berlin/Heidelberg.
Kimmo Raatikainen
Raatikainen, Kimmo: Wireless Access and Terminal Mobility in CORBA. International Journal on
Wireless and Optical Communications, Vol 1, No 2 (December 2003), 147-163.
Raatikainen, Kimmo & Christensen, Henrik Bærbak & Nakajima, Tatsuo: Application
Requirements for Middleware for Mobile and Pervasive Systems. ACM SIGMOBILE Mobile
Computing and Communications Review 6, 4 (Oct 2002) 16-24.
Arbanowski, Stefan & Ballon, Pieter & David, Klaus & Droegehorn, Olaf & Eertink, Henk &
Kellerer, Wolfgang & van Kranenburg, Herma & Raatikainen, Kimmo & Popescu-Zeletin, Radu: Icentric Communications: Personalization, Ambient Awareness, and Adaptability for Future Mobile
Services. IEEE Communications Magazine, September 2004, pp. 63-69.
Sasu Tarkoma, Jaakko Kangasharju, Tancred Lindholm, and Kimmo Raatikainen. Fuego:
Experiences with Mobile Data Communication and Synchronization. In 17th Annual IEEE
International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC),
September 2006.
Koskimies, Oskari & Raatikainen, Kimmo: Partitioning Applications with Agents. Networking and
Information Systems Journal, Vol 3, No 5/6, 2000, pp 689-708.
Raatikainen, Kimmo: Operating System Issues in Future End-User Systems Proceedings of PIMRC
2005 in Berlin, September 12-14, 2005.
Källström, Linda & Leggio, Simone & Manner, Jukka & Mikkonen, Tommi & Raatikainen, Kimmo &
Saarinen, Jussi & Suoranta, Sanna and Ylä-Jääski, Antti: A Framework for Seamless Service Interworking in
Ad-hoc Networks. Elvevier Computer Communications, 29, 12 (October 2006) pp. 3277–3294.
Kenneth Rimey
Ken Rimey. Version Headers for Flexible Synchronization and Conflict Resolution. HIIT Technical
Report 2004-3, November 2004.
Jorma Rissanen
Rissanen, Jorma: Information and Complexity in Statistical Modeling. Springer, New York, NY,
(2007). 144 pages.
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Rissanen, Jorma: Complexity of simple nonlogarithmic loss functions. IEEE Transactions on
Information Theory 49(2): 476-484 (2003).
Rissanen, Jorma: The structure function and distinguishable models of data. Computer Journal
49(6): 657-664 (2006).
Kontkanen, Petri & Myllymäki, Petri & Buntine, Wray & Rissanen, Jorma & Tirri, Henry: An
MDL framework for data clustering. Pp. 323-354 in: Advances in Minimum Description Length:
Theory and Applications, edited by P. Grünwald, I.J. Myung and M. Pitt. The MIT Press,
Cambridge, MA, (2005).
Rissanen, Jorma: Complexity and information in data. Pp. 299-312 in: Entropy, edited by A.
Greven, G. Keller, and G. Warnecke. Princeton University Press, Princeton and Oxford, (2003).
Kontkanen, Petri & Buntine, Wray & Myllymäki, Petri & Rissanen, Jorma & Tirri, Henry: Efficient
computation of stochastic complexity. Pp. 181-188 in: Proceedings of the Ninth International
Workshop on Artificial Intelligence and Statistics, edited by C.M. Bishop and B.J. Frey. Society for
Artificial Intelligence and Statistics, (2003).
Rissanen, Jorma & Roos, Teemu: Conditional NML universal models. To appear in: Proceedings of
the Information Theory and Applications Workshop, San Diego, CA, January-February, (2007).
Timo Saari
Ravaja, N., Saari, T., Laarni, J., Kallinen, K. (in press) Phasic emotional reactions to video game
events. A psychophysiological investigation. Media Psychology. Reviewer refereed.
Ravaja, N., Saari, T., Kallinen, K., & Laarni, J. (2006). The role of mood in the processing of media
messages from a small screen: Effects on subjective and physiological responses. Media
Psychology. Reviewer refereed.
Saari, Timo and Turpeinen, Marko (2004) Towards Psychological Customization of Information for
Individuals and Social Groups. In Karat, J., Blom,. J. and Karat. M.-C. (eds.) Personalization of
User Experiences for eCommerce, Kluwer. Editorial board refereed.
Saari, T., Ravaja, N., Turpeinen, M. and Kallinen, K. (2005) Emotional Regulation System for
Emotionally Adapted Games. Proceedings of FuturePlay 2005 conference, 13.-15.10. 2005
Michigan State University, USA.
Saari, T.; Turpeinen, M.; Laarni, J. and Ravaja, N. (2005) User Experience-Based Adaptation of
Information in Mobile Contexts for Mobile Messaging. Proceedings of HCI International 2005, Las
Vegas, USA, 24.-26.7. 2005.
Timo Saari, Jari Laarni, Niklas Ravaja and Marko Turpeinen (2005) Group-Centered
Personalization Technologies for Facilitating Organizational Learning. Proceedings of HCI
International 2005, Las Vegas, USA, 24.-26.7. 2005.
Saari, Timo (2004) Emotionally Loaded Mobile Multimedia Messaging. ICEC, 3rd International
Conference on Entertainment Computing. Eindhoven, the Netherlands, 1st Sep. 2004.
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Marko Salmenkivi
Makkonen, Juha &, Ahonen-Myka, Helena & Salmenkivi, Marko. Simple semantics in topic
detection and tracking. Information Retrieval 7, 3-4 (2004), 347-368.
Salmenkivi, Marko & Mannila, Heikki. Using Markov chain Monte Carlo and dynamic
programming for event sequence data. Knowledge and Information Systems 7, 3 (2005), 267-288.
Salmenkivi, Marko & Kere, Juha & Mannila, Heikki. Genome segmentation using piecewise
constant intensity models and reversible jump MCMC. Bioinformatics (European Conference on
Computational Biology) 18, 2 (2002), 211-218.
Mannila, Heikki & Salmenkivi, Marko. Finding simple intensity descriptions from event sequence
data. Proceedings of 7th ACM SIGKDD (KDD'2001) Conference on Knowledge Discovery and
Data Mining (KDD 2001), 341-346, San Francisco, CA, August 2001.
Salmenkivi, Marko: Efficient mining of correlation patterns in spatial point data. In Proceedings of
10th European Conference on Principles and Practice of Knowledge Discovery in Databases
(PKDD-06), 359-370. Berlin, September 2006.
Salmenkivi, Marko & Mannila, Heikki. Piecewise constant modeling of sequential data using
reversible jump Markov chain Monte Carlo. Chapter 5 (pages 85-103) in Data Mining in
Bioinformatics edited by J. Wang, M. Zaki, H. Toivonen and D. Shasha. Springer-Verlag, 2005.
Hyvönen, Saara & Leino, Antti & Salmenkivi, Marko. Multivariate analysis of Finnish dialect data
– an overview of lexical variation. Literary & Linguistic Computing. Oxford Journals, forthcoming.
Jouni Seppänen
Seppänen, Jouni K.: Upper bound for the approximation ratio of a class of hypercube segmentation
algorithms. Information Processing Letters, Vol. 93, Issue 3, pp. 139-141, 2005.
doi:10.1016/j.ipl.2004.10.006
Gionis, Aristides & Mannila, Heikki & Seppänen, Jouni K.: Geometric and combinatorial tiles in 01 data. In J.-F. Boulicaut, F. Esposito, F. Giannotti, D. Pedreschi, eds., 8th European Conference on
Principles and Practice of Knowledge Discovery in Databases (PKDD 2004), pp. 173-184,
September 20-24, 2004, Pisa, Italy. LNAI 3202, Springer.
Seppänen, Jouni K. & Mannila, Heikki: Dense Itemsets. In Ronny Kohavi, Johannes Gehrke,
William DuMouchel, and Joydeep Ghosh, eds., Tenth ACM SIGKDD International Conference on
Knowledge Discovery and Data Mining (KDD-2004), pp. 683-688, Seattle, WA, USA 2004.
Salmela, Elina & Taskinen, Olli & Seppänen, Jouni K. & Sistonen, Pertti & Daly, Mark J. &
Lahermo, Päivi & Savontaus, Marja-Liisa & Kere, Juha: Subpopulation difference scanning: a
strategy for exclusion mapping of susceptibility genes. Journal of Medical Genetics, Vol. 43, pp.
590-597, 2006. Published Online First: 27 January 2006. doi:10.1136/jmg.2005.038414
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Kettunen, Eeva & Anttila, Sisko & Seppänen, Jouni K. & Karjalainen, Antti & Edgren, Henrik &
Lindström, Irmeli & Salovaara, Reijo & Nissén, Anna-Maria & Salo, Jarmo & Mattson, Karin &
Hollmén, Jaakko & Knuutila, Sakari & Wikman, Harriet: Differentially expressed genes in
nonsmall cell lung cancer: expression profiling of cancer-related genes in squamous cell lung
cancer. Cancer Genetics and Cytogenetics, Vol. 149, Issue 2, pp. 98-106, March 2004.
doi:10.1016/S0165-4608(03)00300-5
Niini, Tarja & Vettenranta, Kim & Hollmén, Jaakko & Larramendy, Marcelo L. & Aalto, Yan &
Wikman, Harriet & Nagy, Bálint & Seppänen, Jouni K. & Ferrer Salvador, Anna & Mannila,
Heikki & Saarinen-Pihkala, Ulla M. & Knuutila, Sakari: Expression of myeloid-specific genes in
childhood acute lymphoblastic leukemia - a cDNA array study. Leukemia, Vol. 16, No. 11, pp.
2213-2221, November 2002. Nature Publishing Group. doi:10.1038/sj.leu.2402685
Wikman, Harriet & Kettunen, Eeva & Seppänen, Jouni K. & Karjalainen, Antti & Hollmén, Jaakko
& Anttila, Sisko & Knuutila, Sakari: Identification of differentially expressed genes in pulmonary
adenocarcinoma by using a cDNA array. Oncogene, Vol. 21, No. 37, pp. 5804-5813, August 2002.
Nature Publishing Group. doi:10.1038/sj.onc.1205726
Petteri Sevon
Sevon, Petteri & Eronen, Lauri & Hintsanen, Petteri & Kulovesi, Kimmo & Toivonen, Hannu: Link
discovery in graphs derived from biological databases. Accepted for publication in Proceedings of
the 3rd International Workshop on Data Integration in the Life Sciences 2006.
Sevon, Petteri & Toivonen, Hannu & Ollikainen, Vesa: TreeDT: Tree pattern mining for gene
mapping. IEEE/ACM Transactions on Computational Biology and Bioinformatics 3(2):174-185,
2006.
Hintsanen, Petteri & Sevon, Petteri & Onkamo, Päivi & Eronen, Lauri & Toivonen, Hannu: An
empirical comparison of case-control and trio-based study designs in high-throughput association
mapping. Journal of medical Genetics, Published Online First: 28 October 2005.
doi:10.1136/jmg.2005.036020.
Sevon, Petteri & Toivonen, Hannu & Onkamo, Päivi: Gene Mapping by Pattern Discovery. In J.
Wang et al. (eds.) Data Mining in Bioinformatics, 2005, pp. 105-126.
Toivonen, Hannu & Onkamo, Päivi & Hintsanen, Petteri & Terzi, Evimaria & Sevon, Petteri: Data
Mining for Gene Mapping. In M. Kantardzic and J. Zurada (eds.) Next Generation of Data-Mining
Applications, 2005, pp. 263-294.
Sevon, Petteri: Algorithms for Association-based Gene Mapping (PhD thesis). University of
Helsinki, Report A-2004-4.
Onkamo, Päivi & Ollikainen, Vesa & Sevon, Petteri & Toivonen, Hannu & Mannila, Heikki &
Kere, Juha: Association analysis for quantitative traits by data mining: QHPM. Annals of Human
Genetics 66:419-429, 2002.
34
Computer Science in Finland 2000-2006
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Toivonen, Hannu TT & Onkamo, Päivi & Vasko, Kari & Ollikainen, Vesa, & Sevon, Petteri &
Mannila, Heikki & Herr, Mathias & Kere, Juha: Data mining applied to linkage disequilibrium
mapping. American Journal of Human Genetics 67(1): 133 - 145, July 2000.
Toivonen, Hannu TT & Onkamo, Päivi & Vasko, Kari & Ollikainen, Vesa & Sevon, Petteri &
Mannila, Heikki & Kere, Juha: Gene mapping by haplotype pattern mining. In IEEE International
Symposium on Bio-Informatics and Biomedical Engineering (BIBE 2000), 99 - 108, Arlington,
Virginia, November 2000. IEEE.
Sasu Tarkoma
Sasu Tarkoma and Jaakko Kangasharju. Optimizing Content-based Routers: Posets and Forests.
Distributed Computing 19 (1), September 2006. Available at: http://dx.doi.org/10.1007/s00446006-0002-0
Sasu Tarkoma and Jaakko Kangasharju. On the Cost and Safety of Handoffs in Content-based
Routing Systems. Elsevier Computer Networks Journal. 2007 (in press). Available at:
http://dx.doi.org/10.1016/j.comnet.2006.07.016
Jaakko Kangasharju, Tancred Lindholm, Sasu Tarkoma. XML Messaging for Mobile Devices:
From Requirements to Implementation. Accepted for publication in Elsevier Computer Networks,
Special issue: Middleware Challenges for Next Generation Networks and Seamless Services. To
appear in 2007.
Sasu Tarkoma. Dynamic Filter Merging for Publish/Subscribe. Accepted as Extended Paper (top
paper), IEEE WoWMoM 2007. Acceptance rate for Extended Papers was 10.1% (15/148). To
appear.
Sasu Tarkoma. TSR: Temporal Subspace Routing for Peer-to-Peer Data Sharing. IEEE Globecom
2006.
Sasu Tarkoma, Jaakko Kangasharju, Tancred Lindholm, and Kimmo Raatikainen. Fuego:
Experiences with Mobile Data Communication and Synchronization. In 17th Annual IEEE
International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC),
September 2006.
Sasu Tarkoma, Mikko Laukkanen, Kimmo Raatikainen. Software Agents for Ubiquitous
Computing. Book chapter in the Design of Intelligent Multi-Agent Systems - Human-Centredness,
Architectures, Learning and Adaptation Series: Studies in Fuzziness and Soft Computing , Vol. 162.
Edited by Khosla, R., Ichalkaranje, N., Jain, L.C. 2004, Hardcover. ISBN: 978-3-540-22913-1.
Evimaria Terzi
Mielikäinen, Taneli & Terzi, Evimaria & Tsaparas, Panayiotis. Aggregating Time Partitions. In
Mark Craven and Dimitrios Gunopulos (Eds.): The Twelfth Annual SIGKDD International
Conference on Knowledge Discovery and Data Mining (KDD 2006). pp. 347-356. ACM, 2006.
35
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Agrawal, Rakesh & Rantzau, Ralf & Terzi, Evimaria. Context-sensitive ranking. In Surajit
Chaudhuri and Vagelis Hristidis and Neoklis Polyzotis (Eds.): SIGMOD Conference (SIGMOD
2006). pp. 383-394, ACM, 2006.
Geerts, Floris & Mannila, Heikki & Terzi, Evimaria. Relational link-based ranking. In Mario A.
Nascimento and M. Tamer Özsu and Donald Kossmann and Renée J. Miller and José A. Blakeley
and K. Bernhard Schiefer (Eds.): Proceedings of the Thirtieth International Conference on Very
Large Data Bases (VLDB 2004). pp. 552-563, 2004.
Terzi, Evimaria & Tsaparas, Panayiotis. Efficient Algorithms for Sequence Segmentation. In
Joydeep Ghosh and Diane Lambert and David B. Skillicorn and Jaideep Srivastava (Eds.).
Proceedings of the Sixth SIAM International Conference on Data Mining (SDM 2006).
Agrawal, Rakesh & Terzi, Evimaria. On Honesty in Sovereign Information Sharing. In Yannis E.
Ioannidis and Marc H. Scholl and Joachim W. Schmidt and Florian Matthes and Michael
Hatzopoulos and Klemens Böhm and Alfons Kemper and Torsten Grust and Christian Böhm (Eds.).
In Proceedings of Advances in Database Technology - EDBT 2006, 10th International Conference
on Extending Database Technology (EDBT 2006). pp. 240-256, 2006
Henry Tirri
Nokelainen, Pekka & Miettinen, Miikka & Kurhila, Jaakko & Floréen, Patrik & Tirri, Henry: A
Shared Document-Based Annotation Tool to Support Learner-Centered Collaborative Learning.
British Journal of Educational Technology, Vol. 36, No. 5, 757-770.
Miettinen, Miikka & Nokelainen, Pekka & Kurhila, Jaakko & Silander, Tomi & Tirri, Henry:
EDUFORM - A Tool for Creating Adaptive Questionnaires. International Journal on E-Learning,
Vol. 4 (2005), No. 3, 365-373.
Roos, Teemu, Myllymäki, Petri, Tirri, Henry, On the Behavior of MDL Denoising. Pp. 309-316 in
Proceedings of the 10th International Workshop on Artificial Intelligence and Statistics
(AISTATS), edited by R. Cowell and Z. Ghahramani. Society for Artificial Intelligence and
Statistics, 2005.
Kontkanen, Petri & Myllymäki, Petri & Tirri, Henry: Classifier Learning with Supervised Marginal
Likelihood. Pp. 277- 284 in Proceedings of the 17th International Conference on Uncertainty in
Artificial Intelligence (UAI'01), edited by J.Breese and D.Koller. Morgan Kaufmann Publishers,
2001.
Kontkanen, Petri & Myllymäki, Petri & Silander, Tomi & Tirri, Henry & Grünwald, Peter: On
Predictive Distributions and Bayesian Networks. Statistics and Computing 10 (2000), 39-54.
Kontkanen, Petri & Myllymäki, Petri & Roos, Teemu, & Tirri, Henry & Valtonen, Kimmo &
Wettig, Hannes: Topics in Probabilistic Location Estimation in Wireless Networks. Invited paper in
Proceedings of the 15th IEEE Symposium on Personal, Indoor and Mobile Radio Communications,
Barcelona, Spain. IEEE Press, 2004.
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Kontkanen, Petri & Lahtinen, Jussi & Myllymäki, Petri & Silander, Tomi & Tirri, Henry,
Supervised Model-Based Visualization of High-Dimensional Data. Intelligent Data Analysis 4
(2000), 213-227.
Hannu Toivonen
Toivonen, Hannu & Onkamo, Päivi & Vasko, Kari & Ollikainen, Vesa & Sevon, Petteri & Mannila,
Heikki & Herr, Mathias & Kere, Juha: Data mining applied to linkage disequilibrium mapping.
American Journal of Human Genetics 67, 1 (2000), 133 - 145.
Eronen, Lauri & Geerts, Floris & Toivonen, Hannu: HaploRec: Efficient and accurate large-scale
reconstruction of haplotypes. BMC Bioinformatics 7:542 (2006).
Gunopulos, Dimitrios & Khardon, Roni & Mannila, Heikki & Saluja, Sanjeev & Toivonen, Hannu
& Sharma, Ram Sewak: Discovering all most specific sentences. ACM Transactions on Database
Systems 28, 2 (2003), 140-174.
De Raedt, Luc & Kimmig, Angelika & Toivonen, Hannu: ProbLog: A Probabilistic Prolog and its
Application in Link Discovery. In Twentieth International Joint Conference on Artificial
Intelligence (IJCAI-07), 2468-2473, Hyderabad, India, January 2007.
Raento, Mika & Oulasvirta, Antti & Petit, Renaud & Toivonen, Hannu: ContextPhone - A
prototyping platform for context-aware mobile applications. IEEE Pervasive Computing, 4, 2
(2005), 51-59.
Toivonen, Hannu & Mannila, Heikki & Korhola, Atte & Olander, Heikki: Applying Bayesian
statistics to organism-based environmental reconstruction. Ecological Applications 11, 2 (2001),
618-630.
Dehaspe, Luc & Toivonen, Hannu: Discovery of relational association rules. In N. Lavrac and S.
Dzeroski, editors, Relational Data Mining, 189-212. Springer-Verlag, 2001.
Panyiotis Tsaparas
Tsaparas, Panayoitis & Marino-Ramirez, Leonardo & Bodenreider, Olivier & Koonin, Eugene V. &
Jordan, I. King: Global similarity and local divergence in human and mouse gene co-expression
networks. BMC Evolutionary Biology 2006, 6:70.
Gionis, Aristides & Mannila, Heikki & Tsaparas, Panayiotis: Clustering aggregation. 21st
International Conference on Data Engineering (ICDE) 2005.
Gionis, Aristides & Mannila, Heikki & Mielikäinen, Taneli & Tsaparas, Panayiotis: Assessing Data
Mining Results via Swap Randomization, 12th International Conference on Knowledge Discovery
and Data Mining (KDD) 2006, 167-176.
Mielikäinen, Taneli & Terzi, Evimaria & Tsaparas, Panayiotis: Aggregating time partitions. Proc.
International Conference on Knowledge Discovery and Data Mining: KDD-2006, 347-356.
37
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Terzi, Evimaria & Tsaparas, Panayiotis. Efficient Algorithms for Sequence Segmentation. In
Joydeep Ghosh and Diane Lambert and David B. Skillicorn and Jaideep Srivastava (Eds.).
Proceedings of the Sixth SIAM International Conference on Data Mining (SDM 2006).
Papadimitriou, Spiros & Gionis, Aristides & Tsaparas, Panayiotis & Väisänen, Risto A. & Mannila,
Heikki & Faloutsos, Christos: Parameter-free spatial data mining using MDL. Fifth IEEE
International Conference on Data Mining. IEEE Computer Society 2005, 346-353.
Turpeinen Marko
Ravaja, N., Saari, T., Turpeinen, M., Laarni, J., Salminen, M., & Kivikangas, M. (2006). Spatial
presence and emotions during video game playing: Does it matter with whom you play? Presence,
Vol. 15, No. 4, August 2006, 381–392.
Turpeinen, M. (2003). Co-Evolution of Broadcast, Customized and Community-Created Media in
Broadcasting & Convergence: New Articulations of the Public Service Remit, Lowe G. F.&
Hujanen T. (eds.), Nordicom, Göteborg.
Turpeinen, M. (2002). Augmenting Financial News for Individuals and Organizations, Special Issue
on Intelligent Agents for Education and Training Systems, International Journal of Continuous
Engineering Education and Life-Long Learning (IJCEELL), Vol. 12, Nos 1-4.
Turpeinen, M., Sarvas, R. and Herrera, F. (2005). It’s a phone not a console! GDC Mobile white
paper, Game Developers Conference, San Francisco, March 2005.
Kuikkaniemi, K., Turpeinen, M., Salovaara, A., Saari, T., Vuorenmaa, J. (2006). Toolkit for usercreated augmented reality games, 5th International Conference on Mobile and Ubiquitous Multimedia, Stanford, USA.
Salovaara, A., Johnson, M., Toiskallio, K., Tiitta, S., and Turpeinen, M. (2005). Playmakers in
Multiplayer Game Communities: Their Importance and Motivations for Participation. In ACM
SIGCHI International Conference on Advances in Computer Entertainment Technology, ACE
2005, Valencia, Spain.
Turpeinen, M., Saari T. (2004). System Architecture for Psychological Customization of
Communication Technology, Proceedings of HICSS-37 Minitrack on Personalization Management
Systems, Hawaii International Conference on System Sciences, January 5-8, 2004.
Esko Ukkonen
Hallikas, Outi & Palin, Kimmo & Sinjushina, Natalia & Rautiainen, Reetta & Partanen, Juha &
Ukkonen, Esko & Taipale, Jussi: Genome-wide prediction of mammalian enhancers based on
analysis of transcription-factor binding affinity. Cell 124 (January 13, 2006), pp. 47-59.
Vilo, Jaak & Brazma, Alvis & Jonassen, Inge & Robinson, Alan and Ukkonen, Esko: Mining for
putative regulatory elements in the yeast genome using gene expression data. In: Proc. Eighth
International Conference on Intelligent Systems for Molecular Biology (ISMB-2000), AAAI Press,
2000, pages 384-394.
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Fredriksson, Kimmo & Navarro, Gonzalo & Ukkonen, Esko: Sequential and indexed twodimensional combinatorial template matching allowing rotations. Theoretical Computer Science
347 (2005), pp. 239-275.
Navarro, Gonzalo & Mäkinen, Veli & Ukkonen, Esko: Transposition invariant string matching.
Journal of Algorithms 56 (2005), pp. 124-153.
Rastas, Pasi & Koivisto, Mikko & Mannila, Heikki & Ukkonen, Esko: A Hidden Markov
Technique for Haplotype Reconstruction. Algorithms in Bioinformatics (WABI-2005), Lecture
Notes in Computer Science 3692, pp. 140-151.
Nykänen, Matti & Ukkonen, Esko: The exact path length problem. Journal of Algorithms 42
(2002), pp. 41-53.
Kivioja, Teemu & Arvas, Mikko & Kataja, Kari & Penttilä, Merja & Söderlund, Hans & Ukkonen,
Esko: Assigning probes into a small number of pools separable by electrophoresis. Proc. Tenth
International Conference on Intelligent Systems for Molecular Biology (ISMB-2002),
Bioinformatics 18, Suppl 1 (2002), pp. 199-206.
Perttu Virtanen
Virtanen, Perttu: Intellectual Property Rights on Geographic and Location Data, A NaviProgramme Report 24.12.2001 ; http://www.vtt.fi/virtual/navi/cd/IPRreport011231.pdf
Virtanen, Perttu: Legal Protection of Mobile P2P Databases, together with Olli Pitkänen and Mikko
Välimäki, published in the Proceedings of International Conference on Law and Technology 2002 ;
http://www.hiit.fi/de/mobileipr/database_lawtech2002.pdf
Virtanen, Perttu: Finnish AIPPI report Q 182: Database protection at national and international
level, together with K. Harenko, M-L. Mansala, E. Mrena, T. Mylly, R. Oesch, J.Sandström 2003;
http://www.aippi.org/reports/q182/q182_finland.pdf
Virtanen, Perttu: You can’t lose by doing the pools – Fixtures v Veikkaus decision of the European
Court of Justice (Veikaten voitat –tietokantasuojan tulkinta selkeytyy, in Finnish) 2004 IPRInfo 4
http://www.iprinfo.com/showPage.php?page_id=35&action=articleDetails&a_id=281&id=22
Virtanen, Perttu: Database Rights in Safe European Home-The Path to More Rigorous Protection of
Information, Acta Universitatis Lappeenrantaensis, 2005, ISBN 9591-764-996-7
Virtanen, Perttu: The ubiquitous network society (Uusi arjen tietoyhteiskunta), Background report
for The Ministry of Transport and Communications, 6.3.2006, in Finnish at:
http://www.hiit.fi/events/1.3.2006/UUSI%20ARJEN%20TIETOYHTEISKUNTA%20060306.pdf#
search=%22uuden%20arjen%20yhteiskunta%22 (contributions)
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Computer Science in Finland 2000-2006
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2.4. Copies of the Unit’s best publications
(Append copies of publications, maximum number of publications = number of senior researchers
but a minimum of five publications)
For ensuring easy readability do not make the font size smaller when copying publications. The
copies of publications shall be two-sided.
Agrawal, Rakesh & Rantzau, Ralf & Terzi, Evimaria. Context-sensitive ranking. In Surajit
Chaudhuri and Vagelis Hristidis and Neoklis Polyzotis (Eds.): SIGMOD Conference (SIGMOD
2006). pp. 383-394, ACM, 2006.
Arbanowski, Stefan & Ballon, Pieter & David, Klaus & Droegehorn, Olaf & Eertink, Henk &
Kellerer, Wolfgang & van Kranenburg, Herma & Raatikainen, Kimmo & Popescu-Zeletin, Radu: Icentric Communications: Personalization, Ambient Awareness, and Adaptability for Future Mobile
Services. IEEE Communications Magazine, September 2004, pp. 63-69.
Aura, Tuomas, Pekka Nikander, and Jussipekka Leiwo, "DOS-resistant Authentication with Client
Puzzles," in Christianson, Malcolm, Crispo, and Roe (Eds.) Security Protocols, 8th International
Workshop, Cambridge, UK, April 3-5, 2000; revised papers, LNCS 2133, pp. 170-177, Springer
2001.
Buntine, Wray L. & Jakulin, Aleks: Discrete Component Analysis. In C. Saunders, M. Grobelnik,
S. Gunn, and J. Shawe-Taylor, editors, Subspace, Latent Structure and Feature Selection
Techniques. Springer-Verlag, 2006.
Floréen, Patrik & Kaski, Petteri & Kohonen, Jukka & Orponen, Pekka. Lifetime maximization for
multicasting in energy-constrained wireless networks. IEEE Journal on Selected Areas in
Communications 23 (2005), 117-126.
Gunopulos, Dimitrios & Khardon, Roni & Mannila, Heikki & Saluja, Sanjeev & Toivonen, Hannu
& Sharma, Ram Sewak: Discovering all most specific sentences. ACM Transactions on Database
Systems 28, 2 (2003), 140-174.
Hallikas, Outi & Palin, Kimmo & Sinjushina, Natalia & Rautiainen, Reetta & Partanen, Juha &
Ukkonen, Esko & Taipale, Jussi: Genome-wide prediction of mammalian enhancers based on
analysis of transcription-factor binding affinity. Cell 124 (January 13, 2006), pp. 47-59.
Hyvärinen, Aapo: Estimation of non-normalized statistical models using score matching. Journal of
Machine Learning Research, 6, pp. 695-709, 2005.
Jacucci, Giulio & Oulasvirta, Antti & Ilmonen, Tommi & Evans, John & Salovaara, Antti.
CoMedia: Mobile Group Media for Active Spectatorship. Accepted to CHI2007, 28 April - 3 May,
2007 San Jose, USA, ACM Press, 2007.
Koivisto, Mikko. An O(2^n) algorithm for graph coloring and other partitioning problems via
inclusion-exclusion. Proceedings of the 47th Annual IEEE Symposium on Foundations of
Computer Science (FOCS 2006), pp. 583-590, IEEE Computer Society, 2006.
40
Computer Science in Finland 2000-2006
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Kontkanen, Petri & Myllymäki, Petri & Buntine, Wray & Rissanen, Jorma & Tirri, Henry: An
MDL Framework for Data Clustering. In P. Grünwald, I.J. Myung and M. Pitt, editors, Advances in
Minimum Description Length: Theory and Applications, The MIT Press, 2005.
Korzun, Dmitri, Andrei Gurtov, On Scalability Properties of the Hi3 Control Plane, Elsevier
Computer Communications, 29(17):3591-3601, November 2006.
Oulasvirta, A., & Saariluoma, P. (2006). Surviving task interruptions: Investigating the implications
of long-term working memory theory. International Journal of Human-Computer Studies, 64 (10),
941-961.
Pitkänen O., Mäntylä M., Välimäki M., Kemppinen J.: "Assessing Legal Challenges on the Mobile
Internet", International Journal of Electronic Commerce, Fall 2003, Vol. 8, No. 1, pp. 101-120,
2003.
Puolamäki Kai & Fortelius, Mikael & Mannila, Heikki: Seriation in Paleontological Data Using
Markov Chain Monte Carlo Methods. PLoS Computational Biology 2, 2 (2006): e6.
Raatikainen, Kimmo & Christensen, Henrik Bærbak & Nakajima, Tatsuo: Application
Requirements for Middleware for Mobile and Pervasive Systems. ACM SIGMOBILE Mobile
Computing and Communications Review 6, 4 (Oct 2002) 16-24.
Raento, Mika & Oulasvirta, Antti & Petit, Renaud & Toivonen, Hannu: ContextPhone - A
prototyping platform for context-aware mobile applications. IEEE Pervasive Computing, 4, 2
(2005), 51-59.
Ravaja, N., Saari, T., Turpeinen, M., Laarni, J., Salminen, M., & Kivikangas, M. (2006). Spatial
presence and emotions during video game playing: Does it matter with whom you play? Presence,
Vol. 15, No. 4, August 2006, 381–392.
Roos, Teemu & Wettig, Hannes & Grünwald, Peter & Myllymäki, Petri & Tirri, Henry: On
Discriminative Bayesian Network Classifiers and Logistic Regression. Machine Learning 59
(2005):3, pp. 267-296.
Sarvas, R. Viikari, M., Pesonen, J., and Nevanlinna., H. MobShare: Controlled and Immediate
Sharing of Mobile Images. In the Proceedings of ACM Multimedia 2004, New York, NY, USA,
ACM Press 2004.
Shimizu, Shohei & Hoyer, Patrik O. & Hyvärinen, Aapo & Kerminen, Antti: A linear nongaussian
acyclic model for causal discovery. J. of Machine Learning Research 7:2003-2030, 2006.
Tarkoma, Sasu and Jaakko Kangasharju. Optimizing Content-based Routers: Posets and Forests.
Distributed Computing 19 (1), September 2006. Available at: http://dx.doi.org/10.1007/s00446006-0002-0
Sasu Tarkoma, Jaakko Kangasharju, Tancred Lindholm, and Kimmo Raatikainen. Fuego:
Experiences with Mobile Data Communication and Synchronization. In 17th Annual IEEE
International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC),
September 2006.
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Toivonen, Hannu & Onkamo, Päivi & Vasko, Kari & Ollikainen, Vesa & Sevon, Petteri & Mannila,
Heikki & Herr, Mathias & Kere, Juha: Data mining applied to linkage disequilibrium mapping.
American Journal of Human Genetics 67, 1 (2000), 133 - 145.
Books
Hand, David, J. & Mannila, Heikki & Smyth, Padhraic: Principles of Data Mining. MIT Press 2001
Chinese translation, China Machine Press, ISBN 7-111-11577-5, 2003. Polish translation
"Eksploracja danych", Wydawnictwa Naukowo-Techniczne, ISBN 83-204-3053-4, 2005.
Himanen, Pekka and Manuel Castells, The Information Society and the Welfare State: The Finnish
Model. Oxford: Oxford University Press, 2002.
Kaski, Petteri & Östergård, Patrik, R. J.: Classification Algorithms for Codes and Designs,
Springer-Verlag, Berlin Heidelberg, 2006.
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3. Doctoral training
3.1. Number of students who in 2000-2006
Give the number of Master degrees and of those, new post-graduate students to indicate the ratio
enrolled in the doctoral training.
2000
2001
2002
2003
2004
2005
2006
Completed their Master degree1)
Started post-graduate studies2)
1)
MSc students are enrolled at the host universities and complete their degree there. HIIT personnel
is also involved in supervising MSc theses.
2)
PhD students are enrolled at the host universities, not at HIIT. However, a large number of PhD
students have been working at HIIT during 2000-2006, their person-months being almost 50 percent
of the total.
3.2. List of doctoral dissertations in 2000-2006 and present employment
If at least half of the doctoral dissertation has been supervised and done at a research institute, the
research institute can also list the doctoral dissertation as its own outcome. In this case indicate
also the university (in year of completion) where the doctoral dissertation has been presented for
approval. In present employment, indicate the type of organisation (university, business company,
research institute, state, municipality or other).
Name (family
name, given
name)
Year
of
birth
Turpeinen
Marko
1968 M
Kankainen
Anu
Gen Topic of
der dissertation
F
Ollikainen,
Vesa
1971
M
Jacucci
Giulio
1972 M
Customizing
News Content
for Individuals
and
Communities
Thinking Model
and Tools for
Understanding
User Experience
Related to
Information
Appliance
Product Concept
Simulation
techniques for
disease gene
localization in
isolated
populations
Cases of
Configuring
Year of
completing
the degree
Present employment (job
description, organisation)
2000
Professor at KTH
Sweden and Research
Programme Director
at HIIT
2002
Principal researcher,
Ideanresearch Ltd
2002
Lecturer, Information
and Communications
Technology, Helsinki,
Polytechnic Stadia
2004
Postdoctoral
Researcher, HIIT
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Computer Science in Finland 2000-2006
Evaluation Form
Koivisto,
Mikko
1974
M
Vasko, Kari
1974
M
Sevon, Petteri
1971
M
Mielikäinen,
Taneli
1978
M
Virtanen
Perttu
1963 M
Ilmonen
Tommi
1973 M
Oulasvirta
Antti
1979 M
Pitkänen Olli 1965 M
Sarvas Risto
1976 M
Tarkoma,
1976
M
Physical
Interfaces in
Mixed Media
Sum-product
algorithms for
the analysis of
genetic risks
Computational
methods and
models for
paleoecology
Algorithms for
associationbased gene
mapping
Summarization
techniques for
pattern
collections in
data mining
Database rights
in safe European
home. The path
to more rigorous
protection of
information
Tools and
Experiments in
Multimodal
Interaction
Studies of
Working
Memory in
Interrupted
HumanComputer
Interaction.
Doctoral
Dissertation
Legal
Challenges to
Future
Information
Businesses
Designing UserCentric Metadata
for Digital
Snapshot
Photography
Efficient
2004
Postdoctoral Research
Fellow of Academy of
Finland, HIIT
2004
Senior Scientist, Ekahau
Ltd.
2004
Postdoctoral
Researcher, HIIT
2005
Senior Research
Scientist, Nokia
Research Center, Palo
Alto, CA, USA
2005
University
2006
TKK/ HIIT
2006
Postdoctoral
Researcher, HIIT
2006
TKK/ HIIT
2006
Postdoctoral
Researcher, HIIT
2006
Teaching Researcher,
44
Computer Science in Finland 2000-2006
Evaluation Form
Sasu
Terzi,
Evimaria
1978
F
Content-based
Routing,
Mobility-aware
Topologies, and
Temporal
Subspace
Matching
Problems and
Algorithms for
Sequence
Segmentations
Telecommunications
Software and
Multimedia Laboratory,
Helsinki University of
Technology
2006
Research Staff Member,
IBM Almaden Research
Center, San Jose, CA,
USA (May 2007-)
4. National and international collaboration
4.1. National collaboration
List the national collaboration partners of the Unit. Collaborator refers to a person or a research
team with whom the cooperation has either generated or is expected to generate within the next
three (3) years one of the outcomes indicated in item 2.2. Types of collaboration include e.g. joint
projects, researcher mobility. In "Field of science", give the main field of the collaborator (physics,
chemistry, mechanical engineering etc.)
Organisation
UNIVERSITIES
University of Helsinki
Department of Comparative
Religion: Dr. Risto
Pulkkinen
Department of Ecology and
Systematics, Division of
Population Biology,
Professor Ilkka Hanski
Department of Education,
Professor Hannele Niemi
Department of English,
CoE of Variation, Contacts,
and Change in English:
Professor Terttu Nevalainen
Department of Finnish
Language and Literature:
Professor Ritva-Liisa
Pitkänen
Department of Finno-Ugric
Studies: Professor UllaMaija Kulonen,
Department of Geology:
Type of collaboration Field of science
Joint research
Linguistics: Linguistic population
history
Joint research
Ecology: meta-population
dynamics
Joint Tekes project
Behavioral sciences
Joint research
Linguistics: Sequence analysis,
structure discovery in highdimensional data.
Joint research, joint
supervision of Ph.D.
student.
Onomastics: discovery of colocation rules in complex point
data
Joint research
Linguistics: Linguistic population
history
Joint projects. A Ph.D. Ecology and Paleontology:
45
Computer Science in Finland 2000-2006
Evaluation Form
Professor Mikael Fortelius
student is funded by
Professor Fortelius.
Department of History,
Docent Tuomas Heikkilä
Department of Mathematics
and Statistics: Professor
Elja Arjas
Department of Medical
Genetics
CoE on Disease Genetics,
Academy Professor Leena
Peltonen-Palotie
Joint research project
Academy Professor Lauri
Aaltonen
Professor Juha Kere
Research cooperation
Exchange of
personnel, joint
projects, joint
supervision of Ph.D.
students
Joint research projects,
exchange of
researchers
Genome structure: Sequence
analysis, mining complex data.
Joint research projects,
exchange of
researchers
Joint research, jointly
funded postdoc
Gene mapping: methods for
complex diseases
Department of Physical
Sciences, Division of
Atmospheric Sciences, CoE
on Atmospheric
Composition and Climate
Change: Professor Markku
Kulmala
Department of Psychology: Joint projects and
Dr. Pentti Laurinen
supervision of a PhD
student (Ilmari Kurki)
Drug Discovery and
Development Technology
Center: Professor Arto Urtti
Haartman Institute,
Department of Pathology,
Laboratory of
Cytomolecular Genetics:
Professor Sakari Knuutila
Helsinki Institute of Physics
Institute of Biomedicine,
Molecular and Cancer
Biology Program, CoE in
Translational GenomeScale Biology:
Professor Jussi Taipale,
Academy Professor Lauri
Sequence analysis, structure
discovery in high-dimensional
data.
Field of science: Historical
analysis, stemmatology
Computational statistics
Joint project
Gene regulation: Gene regulatory
motifs, effect of SNPs on
regulation, regulatory networks
Atmospheric data analysis:
Mining complex data, structure
discovery in high-dimensional
data.
Neuroinformatics: vision
modelling: Data analysis for
experimental visual
psychophysics.
Gene regulation: Gene regulatory
motifs
Shared funding for a
joint Ph.D. student,
joint project
Genome structure: cytomolecular
genetics
Joint Tekes project on
grid computing
Joint research projects,
exchange of
researchers
Field: computer science
Gene regulation: Gene regulatory
motifs, effect of SNPs on
regulation, regulatory networks.
46
Computer Science in Finland 2000-2006
Evaluation Form
Aaltonen
Professor Tomi Mäkelä
Institute of Biotechnology,
CoE in Developmental
Biology: Professor Irma
Thesleff, Professor Jukka
Jernvall
Rolf Nevanlinna Institute
Faculty of Social Science,
Department of Economics,
Professor Klaus Kultti
Helsinki University of
Technology
Department of Computer
Science and Engineering
Adaptive Informatics CoE
at, Dr. Timo Honkela
Professor Antti Ylä-Jääski,
Professor Petri Vuorimaa,
Professor Jorma Virtamo
Professor Marko Nieminen
Professor Tapio Takala
Professor Samuel Kaski
Brain Research Unit of the
Helsinki, University of
Technology, Dr. Simo
Vanni
Laboratory of
Computational
Engineering, Dr. Jukka
Heikkonen
Other universities
Helsinki School of
Economics, Center for
Joint Tekes project on
microarray data
analysis
Joint research
Bioinformatics
Gene regulation: Gene regulatory
motifs
Ecology and Paleontology:
Sequence analysis, structure
discovery in high-dimensional
data.
Statistics
Joint EU project on
statistical modeling of
animal populations
Joint research
Microeconomics of Internet
consumer behaviour
Joint research
Joint Tekes projects,
adjunct professor
(docent)
Joint Tekes projects,
joint research in EU
projects
Joint academy project
on proactive
information retrieval.
Joint EU project on
information retrieval
Dr. Hyvärinen is
leader of an
interdisciplinary brain
research consortium
funded by the
Academy of Finland
which includes this
group and the one
above
Joint Tekes projects
Language technology:
Computational language
modeling.
Mobile computing and
communications, context-aware
mobile systems
User interfaces, interaction
research
Computer science
Neuroinformatics: Brain imaging
in vision research.
Computer science
Joint Academy project cognitive science, psychology
on proactive
47
Computer Science in Finland 2000-2006
Evaluation Form
Knowledge and Innovation
Research (CKIR), Dr. Ilpo
Kojo
Center for Knowledge and
Innovation Research
(CKIR), Dr. Timo Saari
Center for Knowledge and
Innovation Research
(CKIR), Dr. Niklas Ravaja
University of Kuopio
Department of Health
Policy and Management
Professor Olli-Pekka
Ryynänen
Oulu University Central
Hospital: Dr. Vesa
Kiviniemi
University of Tampere
Department of Computer
Sciences, Tampere Unit for
Human-Computer
Interfaces: Professor KariJouko Räihä
Game Research Lab,
Hypermedia Laboratory,
University of Tampere,
Professor Frans Mäyrä
Research Centre for
Vocational Education,
Professor Pekka Ruohotie
Graduate schools
Helsinki University of
Technology
Department of Computer
Science and Engineering
information retrieval.
Joint Academy project
on data visualization
Joint projects on social User experience, psychologically
media and media
adaptive media
experience
Joint EU project on
User experience, game research
gaming experience
Joint Tekes project on
analysis of medical
patient records
Medical diagnosis
Neuroinformatics: Brain imaging
data analysis methods.
Joint Tekes project on
information retrieval
Computer science
Joint Tekes project on
social gaming
Digital media
A joint Academy
project on
Computational
Intelligence
Techniques for Social
Sciences
Social sciences
Joint graduate school:
Helsinki Graduate
School in Computer
Science and
Engineering (Hecse)
University of Helsinki,
Joint graduate school:
University of Turku,
Graduate School in
Helsinki University of
Biology,
Technology (3 universities, Bioinformatics and
4 departments/laboratories) Biometry (ComBi)
Helsinki University of
Joint graduate school:
Technology, Helsinki
Graduate school of
School of Economics
electronic business
and software industry
(GEBSI)
University of Tampere,
Joint graduate school:
Core computer science
Biology, Bioinformatics and
Biometry
Digital economy, user interfaces
Interaction research, digital media
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Computer Science in Finland 2000-2006
Evaluation Form
Tampere University of
Technology, Helsinki
University of Technology,
Helsinki School of
Economics, University of
Industrial Arts and Design
Public research institutes
Finnish Defence Forces,
Catharina Candolin
Finnish Forest Research
Institute METLA: Professor
Erkki Tomppo, Professor
Kari Mielikäinen
Finnish IT Center for
Science (CSC)
Finnish Game and Fisheries
Research Institute: Dr.
Sakari Kuikka
User-centric
information
technology (UCIT)
Joint research
Finland
Joint research
Forest research: Structure
discovery in high-dimensional
data, spatio-temporal data
Joint research
Bioinformatics
Joint project on
statistical analysis of
Baltic salmon
population
Institute of Occupational
Shared funding for a
Health: Dr. Sisko Anttila,
joint Ph.D. student,
Finnish
joint project
National Board of Patents
Joint project on
and Registration of Finland statistical analysis of
patent texts
National Public Health
Institute (KTL),
Department of Molecular
Medicine:
Academy Professor Leena Exchange of
Peltonen-Palotie
researchers, joint
projects, joint
supervision of Ph.D.
students
Professor Jussi Taipale
Joint projects,
exchange of
researchers
Biological and Environmental
Sciences, statistics
Research Institute for the
Joint research
Languages of Finland
(Kotus): Professor RitvaLiisa Pitkänen, Dialect
dictionary editor Ulla
Takala
TEKES – Finnish Funding R&D projects (funded
Agency for Technology and by Tekes)
Innovation
VTT Technical Research
Centre of Finland
Onomastics and dialectology:
structure discovery in highdimensional data
Genome structure: cytomolecular
genetics
Computer science
Genome structure: Sequence
analysis, mining complex data
Gene regulation: Gene regulatory
motifs, effect of SNPs on
regulation, regulatory networks.
Computer science
49
Computer Science in Finland 2000-2006
Evaluation Form
Biotechnology: Professor
Merja Penttilä, Professor
Hans Söderlund, Dr. Matej
Oresic
Information technology:
Professor Caj Södergård,
Professor Charles
Woodward, Dr. Leena
Norros
Enterprises
3eyes Ltd, Finland: John
Evans
ABB
Accenture
AlmaMedia
BayesIT
Biocomputing Platforms
Finland Ltd
BookIT
Joint projects
Codetoys
Cyberell Ltd
Joint project
Joint research and
funding
Joint projects
Joint projects, research
subcontracting
Joint projects, joint
research
Danisco Sugar Oy
Digital Chocolate
Elisa R&D
Pasi Kyheröinen,
Annakaisa Häyrynen
Fibrogen Europe Oyj
Finnair
Joint TEKES projects Digital media, interaction research
Joint research and art
installations
Joint project
Joint projects
Joint projects
Joint project
Joint research and
funding
Joint project
Joint project
Joint project
Finnet
Joint projects
Futurice Oy
Joint development,
research, consulting,
prototyping
Joint research and
funding
Research,
development,
prototyping,
consulting
Joint research, joint
TEKES projects
Joint project
Joint research and
funding
Research and
GeneOS Ltd
Helsinki University Press
Idean research, Anu
Kankainen
Indagon
Jurilab Ltd
Keskuslaboratorio KCL
Bioinformatics: biological
network analysis
Context-awareness and privacy:
Location Oriented Critical Arts
Configuration problems
Social media
News analysis, digital media
Applications of data visualization
Bioinformatics
Mobile computing and
communications
Game research
Bioinformatics
Biotechnology
Digital media, game research
Mobile computing and
communications, context-aware
mobile systems
Biotechnology
Mobile computing and
communications
Mobile computing and
communications
Social media
Bioinformatics
Hybrid media
User interfaces, interaction
research
Signal denoising
Bioinformatics
Hybrid media
50
Computer Science in Finland 2000-2006
Evaluation Form
Kone Corporation
Licentia Ltd
LM Ericsson Oy/Ab
subcontracting
Joint project
Joint research
Joint project, joint
research personnel
M-Brain
MediCel Oy
Medipolis GMP Oy
Medix Biochemica
Joint project
Joint projects
Mobidiag Oy
Nokia
Mobile Phones
Joint project
Nokia Networks
Joint projects
Nokia Research Center
Joint projects
Nokia Design, Jan Blom,
Phil Lindberg
Orion Pharma
Joint research
Palodexgroup
Panimolaboratorio –
Bryggerilaboratorium, Oy
Perkin-Elmer
Joint project
Joint projects
Profium
Roal Oy
Sinebrychoff, Oy
Solidtech
Starcut
StoraEnso
Joint projects
Joint projects
Joint projects
Joint project
Joint projects
Joint project
Sulake
Suunto Oy
Swelcom
TeliaSonera Finland
Joint projects
Joint project
Joint projects
Joint projects
Tietoenator
Joint projects
Joint projects
Joint projects
Joint projects
Joint projects
Elevator configuration problems
Bioinformatics
Mobile computing and
communications, Context-aware
mobile systems
Text analysis
Biotechnology
Biotechnology
Pharmacogenomics, genome
structure and gene mapping
Biotechnology
Mobile computing and
communications
Mobile computing and
communications
Ubiquitous and proactive
computing; telecommunications;
Mobile computing and
communications, real-time
databases, operating systems;
Data analysis applications;
Context-aware mobile systems
User interfaces
Pharmacogenomics, genome
structure and gene mapping
Signal denoising
Biotechnology
Pharmacogenomics, genome
structure and gene mapping
Social media
Biotechnology
Biotechnology
Context-aware mobile systems
Social media
Constrained optimization
problems with respect to paper
container packing
Social media, game research
Context-aware mobile systems
Social media
Mobile computing and
communications
Service-oriented architecture,
service composition, enterprise
architecture development, and
51
Computer Science in Finland 2000-2006
Evaluation Form
inter-enterprise computing
Mobile computing and
communications
Veikkaus
VTI Technologies
Whitelake Software Point
Oy
Wisane
Yleisradio
Joint projects
Joint project
Joint projects
Joint project
Joint projects
Optimization problems
Social media
Signal denoising
Biotechnology
Medical patient records analysis
Social media, peer-to-peer
systems
Hybrid media
Yliopistopaino
Joint projects
Research Networks
Regular co-operation Language technology
Language Technology
with language the
Research Network
technology industry
(LANTERN)
University of Helsinki,
cluster in Finland (e.g.
Departments of Linguistics AAC Global, Lingsoft,
and Computer Science;
Sanako, Master's
Helsinki University of
Innovations,
Technology, Adaptive
Kielikone).
Informatics CoE;
Lappeenranta University of
Technology
National conferences and workshops organised by the unit
"New Everyday
National conference
Information society
Information Society", a
with about 100
conference organized by
participants
HIIT and the Ministry of
Communications and
Transportation. March 1,
2006.
4.2. Visits abroad (minimum duration of visit: one month)
List the visits per year. List the visits of each year by country in the alphabetical order. In item
"Purpose of the visit" indicate clearly the objective of the visit.
Name
Kemppinen
Jukka
Saari, Timo
Tirri, Henry
Pitkänen, Olli
Target
organisation
UC Berkeley,
SIMS; Boalt
Stanford
University
Stanford
University
University of
Country
USA
Purpose of the
visit
Permanent
collaboration
Visiting Scholar
USA
Research
19992000
2000
USA
Visiting scholar
2000-
U.S.A.
Year
Duration
in months
1
13
17
1
52
Computer Science in Finland 2000-2006
Evaluation Form
California,
Berkeley
Oksanen, Ville
UC Berkeley
Välimäki, Mikko UC Berkeley
Sevon, Petteri
Karolinska
Institutet,
Stockholm
Doucet, Antoine University of
Caen
Roos, Teemu
Centrum voor
Wiskunde en
Informatica
(CWI),
Amsterdam
Raatikainen,
University of
Kimmo
Canterbury
Oulasvirta, Antti University of
California,
Berkeley
Sarvas, Risto
UC Berkeley
Virtanen Perttu
Gurtov, Andrei
Pitkänen, Olli
Tirri, Henry
Tirri, Henry
Soininen, Aura
Sarvas, Risto
Saari, Timo
Saari, Timo
Hietanen,
Herkko
Oxford
University,
Balliol College
International
Computer
Science
Institute
(ICSI),
Berkeley
University of
California,
Berkeley
Stanford
University
University of
California at
Berkeley
UC Berkeley
University of
Berkeley
University of
Cologne
University of
California at
Berkeley
University of
Berkeley
2001
U.S.A.
U.S.A.
Sweden
Research
Research
Research
2001
2001
20012002
3
12
13
France
Research
2002
3
Netherlands, Research
The
2002
4
New Zealand Teaching &
Research
USA
Postgraduate
studies and
research
USA
Research
collaboration
England
Doctoral Studies
2002
3
20022003
10
20022003
2003
15
1
USA
Research
2003
6
USA
Visiting scholar
2003
3
USA
Research
2003
1
USA
Research
2003
2
U.S.A.
Research
13
USA
Visiting
Researcher
Visiting Professor
20032004
20032004
2004
1.5
Germany
12
USA
Visiting
Researcher
2004
1.5
USA
Visiting
Researcher
20042005
12
53
Computer Science in Finland 2000-2006
Evaluation Form
Rantanen. Matti
Poroshin,
Vladimir
Riva, Oriana
University of
Berkeley
Tsinghua
University
INRIA
Roos, Teemu
USA
Visiting
Researcher
Research
20042005
2005
11
Summer
Internship
Research
2005
1.5
2005
2
U.S.A
USA
Research
Research
2005
2005
2
3
USA
2005
3.5
2005
1
2005
2
China
France
1
Centrum voor
Wiskunde en
Informatica
(CWI),
Amsterdam
Gurtov Andrei
ICSI Berkeley
Haiminen, Niina IBM T. J.
Watson
Research
Center
Koponen,
ICSI
Teemu
Rantanen, Matti MIT
Netherlands,
The
Saari, Timo
USA
Research
collaboration
Visiting
Researcher
Visiting Scientist
USA
Visiting Professor
2005
3
USA
Research
2005
3
USA
Research
2005
6
USA
Visiting Scientist
2005
1
Germany
Research
12
USA
Research
20052006
20052006
Germany
Research
2006
3
Japan
Research
2006
1
Saari, Timo
Sarolahti, Pasi
Terzi, Evimaria
Turpeinen,
Marko
Toivonen,
Hannu
Kääriäinen,
Matti
University of
Michigan
Michigan State
University
International
Computer
Science
Institute
(ICSI),
Berkeley
IBM Almaden
Research
Center, San
Jose, CA
MIT
University of
Freiburg
International
Computer
Science
Institute
(ICSI),
Berkeley
Oulasvirta, Antti Deutsche
Telekom
Laboratories
Hyvärinen, Aapo Institute for
Statistical
Mathematics
USA
12
54
Computer Science in Finland 2000-2006
Evaluation Form
Lehdonvirta,
Vili
Turpeinen,
Marko
Raento, Mika
Waseda
University
KTH
Mixed Reality
Laboratory,
University of
Nottingham
Haiminen, Niina IBM Almaden
Research
Center
Koponen,
ICSI
Teemu
Reti, Tommo
University of
Berkeley
Saari, Timo
Stanford
University
Saari, Timo
Stanford
University
Terzi, Evimaria Microsoft
Search Labs,
Mountain
View, CA
Japan
Visiting
Researcher
Professorship
2006
4
2006
2
United
Kingdom
Research
2006
2
USA
Research
2006
3
USA
Postgraduate
studies
Visiting
Researcher
Visiting Scientist
2006
6
2006
5
2006
2
Sweden
USA
USA
USA
USA
Visiting
Researcher
Research
2006
2006
1.5
4
4.3. Visits to the Unit (minimum duration of visit: one month)
List the visits per year. List the visits of each year by country in the alphabetical order. In item
"Purpose of the visit" indicate clearly the objective of the visit.
Name of visitor
Home
organisation
Jaeger, Manfred
Max-Planck
Institut für
Informatik
Gionis, Aristides Stanford
University
Geerts, Floris
University of
Limburg
Goethals, Bart
University of
Limburg
Hinneburg,
Martin-Luther
Alexander
University
Zaki, Mohammed Rensselaer
Polytechnic
Institute
Gutmann, Michael ETH Zurich
Country
Shimizu, Shohei
University of
Germany
Purpose of
the visit
Research
Year
Duration
in months
2002
4
USA
Research
2002
2
Belgium
Research
16
Belgium
Research
20022003
2003
Germany
Research
2003
1
USA
Research
2003
1
Switzerland
Research
6
Japan
Research
20032004
2003-
12
20
55
Computer Science in Finland 2000-2006
Evaluation Form
Zhou, Qiang
Burkhardt, Stefan
Wexler, Ydo
Vicente, Asun
Joseph, Anthony
Lacoste-Julien,
Simon
Obozinski,
Giullaume
Hang, Guo
Donato, Deborah
Hinneburg,
Alexander
Afrati, Foto
Osaka
Tsinghua
University
Max-Planck
Institute,
Saarbrücken
Israel Institute of
Technology
University of
Valencia
University of
California at
Berkeley
University of
California at
Berkeley
University of
California at
Berkeley
Tsinghua
University
University of
Rome
Martin-Luther
University
National
Technical
Institute of
Athens
IIT Guwarati
Thanniru,
Ramakrishna
di Flora, Cristiano Federico II
University of
Naples
Nakajima, Tatsuo Waseda
University
Das, Gautam
University of
Texas at
Arlington
Gwadera, Robert Purdue University
Wang Xuefei
CATR
Heer, Tobias
China
Research
2005
2004
Germany
Research
2004
6
Israel
Research
2004
2
Spain
Research
2004
3
USA
Research
2004
3
USA
Research
2004
1
USA
Research
2004
1
China
Research
6
Italy
Research
Germany
Research
20042005
20042005
2005
Greece
Research
2005
3
India
Research
2005
3
Italy
Research
2005
1
Japan
2005
6
USA
Research &
teaching
Research
2005
2
USA
China
Research
Research
2005
20052006
20052006
2006
2
12
2006
3
2006
6
Abhijit Bagri
Universität
Germany
Tübingen
Finnish IT Center Finland
for Science (CSC)
IIT Kanpur
India
Abhinav Pathak
IIT Kanpur
Leino, Yrjö
India
Research
Research
Student
exchange
Student
1
3
1
6
2
56
Computer Science in Finland 2000-2006
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Nakajima, Tatsuo
Vorobyeva,
Ekaterina
Vicente, Asun
Yaqub Kamran
Blankinship, Erik
Cutting, Doug
Gunopulos,
Dimitrios
Jaakkola, Tommi
Yu, Huizhen
(Janey)
Madden, Michael
Russia
exchange
Research
collaboration
Research
Spain
Research
2006
4
Sweden
Research
2006
5
USA
2006
1
USA
USA
Research
collaboration
Research
Research
2006
2006
1
1
USA
Research
2006
1
USA
Research
2006
9
Ireland
Research
20062007
3
Waseda
University
University of
Petroskoi
University of
Valencia
Lulea University
of Technology
MIT
Japan
Yahoo! Berkeley
University of
California,
Riverside
MIT Computer
Science and
Artificial
Intelligence
Laboratory
MIT Computer
Science and
Artificial
Intelligence
Laboratory
National
University of
Ireland
2006
2
2006
4
4.4. Short but particularly important visits
List the visits per year. List the visits of each year by country in the alphabetical order. In item
"Purpose of the visit" indicate clearly the objective of the visit.
Name of
visitor
Cochrane,
Tom
Eggert, Lars
Götz, Stefan
Home
organisation
Queensland
University of
Technology
NEC
RWTH
Aachen
RWTH
Aachen
NEC
Landsiedel,
Olaf
Stiemerling,
Martin
Wehrle, Klaus RWTH
Aachen
Country
Year
Purpose of the visit
Australia
Research co-operation
Germany
Germany
Standardization
Standardization and research
Germany
Standardization and research
Germany
Standardization
Germany
Standardization and research
57
Computer Science in Finland 2000-2006
Evaluation Form
Harison, Elad
Ahlgren,
Bength
Paxson, Vern
Anderson,
Ross
Varian, Hal
University of
Groeningen
SICS
Netherlands
Research co-operation
Sweden
NordicHIP research
ICSI
Cambridge
University
UC Berkeley
USA
UK
Halonen,
Republic of
Tarja,
Finland
President
Ojanperä, Tero Nokia
Research
Center
Faloutsos,
Carnegie
Christos
Mellon
University
Finland
Research collaboration
2003 Keynote speech at MobileIPR
workshop on August 27
2003 Keynote speech at MobileIPR
workshop on August 27,
2004 Presentation of HIIT research
Finland
2004 Presentation of HIIT research
USA
Karp, Richard, University of
M.
California
USA
Iannucci, Bob
Finland
2004 Member of HIIT scientific
advisory board; Lecture
course on discovering
patterns in streams and graphs
2004 Representative of ICSI,
setting up post doc visit for
Dr. Kääriäinen
2005 Presentation of HIIT research
Barron,
Andrew
Nokia
Research
Center
Yale
Davis, Marc
USA
USA
USA
2005 Exploring possibilities for
joint work in minimum
description length research
2005 Research collaboration (5
days, 2005)
2005 Guest lecture on Convolutive
Blind Source Separation for
Speech Enhancement
2005 HIIT/ICS collaboration
USA
2005 Establishment of co-operation
USA
2005 Research collaboration (10
days)
2006 Seminar and research on
interaction design, mixed
reality and urban
environments
2006 Research collaboration
between FI and his group at
TU Darmstadt
2006 Invited presentation, research
collaboration (3 days)
2006 Thesis defence and research
University of
Berkeley
Douglas,
Southern
Scott, C.
Methodist
University
Halperin, Eran University of
California
Iftodé, Liviu
Rutgers
University
Van House,
University of
Nancy
Berkeley
Wagner, Ina
Vienna
University of
Technology
USA
Kangasharju,
Jussi
Germany
Technische
Universität
Darmstadt
Whang, Leo
Yonsei
Sang-Min
University
Bender, Walter MIT & One
USA
Austria
South Korea
USA
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Bertsekas,
Dimitri
Jaakkola,
Tommi
de Raedt, Luc
Apostpolico,
Alberto
Laptop Per
Child (OLPC)
MIT
collaboration (3 days)
USA
MIT Computer USA
Science and
Artificial
Intelligence
Laboratory
University of Germany
Freiburg
Universities of USA, Italy
Padova and
Purdue
2006 Exploring possible future
collaborative research
projects between MIT and
Helsinki
2006 Exploring possible future
collaborative research
projects between MIT and
Helsinki
2002,
2003
2002,
2004
Shawe-Taylor, University of
John
Southampton
United
Kingdom
2004,
2006
Katz, Randy
USA
2001,
2002,
2004
University of
California at
Berkeley
Research collaboration,
among others in EU projects
Member of HIIT scientific
advisory board; lectures on
combinatorial pattern
matching
Research collaboration;
lecture course on Kernel
Methods for Pattern Analysis,
Member of HIIT Scientific
Advisory Board
Long-term research
collaboration, Member of
HIIT scientific advisory
board
4.5. Most important foreign collaborators
List the most important foreign collaborators, as defined in item 4.1.
Name and Organisation
UNIVERSITIES
Aalborg University, Hans
Andersen
Aalborg University, Lars
Roost, Gustav Haraldsson,
Per Toft
Aarhus University
Hospital
Albert-Ludwigs
Universität Freiburg
Type of collaboration
Country
Research collaboration (machine vision
techniques, IPCity)
Joint research on HIP evaluation,
OpenDHT-HIP interface
Denmark
Joint research to develop methods for
finding regulatory motifs and cascades.
Integrated approach that combines
computational and wet lab techniques.
Fields: Regulatory patterns in genomes,
effect of SNPs on gene regulation.
Exchange of researchers.
Fields: Inductive databases targeted to
applications in bioinformatics.
Joint research, exchange of researchers.
Fields: Probabilistic modeling using
inductive logic programming.
Denmark
Denmark
Germany
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Centre for Network
Computing, Multimedia
University
Danish Center for Design
Research, Copenhagen,
Director Thomas Binder
Ecole Nationale
Supérieure d’Ingénieurs
de Constructions
Aéronautiques (Ensica)
Ecole Polytechnique
Federale de Lausanne,
Distributed Information
Systems Lab (EPFL): Karl
Aberer
Eindhoven University of
Technology
Joint EU project on the are of mobile
communication applied in developing
countries
Book writing and research on design
theory and studies
Malaysia
Joint ESA project in the area of satellite
communication
France
A joint EU project on next-generation
search technologies
Switzerland
Open Distributed Processing Reference
Model and component standards,
editors, national delegate, Involvement
in the standardisation; context-aware
mobile systems
Netherlands, the
Gary Bente
Research collaboration in European
projects
Exchange of researchers.
Field: String algorithmics.
Georgia Tech, and
University of Padova:
Professor Alberto
Apostolico
Graz University of
Technology, Professor
Dieter Schmalstieg
Hannover School of
Music and Drama,
Christoph Klimmt
Imperial College of
Science, Technology and
Medicine
Renewable Resources
Assessment Group
(RRAG)
Indian Institute of
Technology, Bhaskar
Raman
INSA Lyon
Institute of Statistical
Mathematics, Tokyo: Dr.
Shohei Shimizu
Denmark
USA, Italy
EU IPCity project Joint development on Austria
mobile mixed reality, Research
collaboration (software development,
IPCity)
Research collaboration in European
Germany
projects
Joint research, exchange of researchers.
Fields: Probabilistic modeling using
inductive logic programming
United Kingdom
A joint EU project on statistical analysis
of Baltic salmon population
Student exchange, code development,
conference papers
India
Exchange of researchers.
France
Fields: Inductive databases targeted to
applications in bioinformatics.
Dr. Hyvärinen visited Institute of
Japan
Statistical Mathematics for one month in
2006.
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Jozef Stefan Institute
Fields: Non-Gaussian probabilistic
modeling.
Joint EU project
Fields: statistical multilingual analysis
for retrieval and translation
Slovenia
Exchange of researchers.
Fields: Inductive databases targeted to
applications in bioinformatics
Marko Grobelnik
Karolinska Institutet,
Sweden: Professor Juha
Kere
Katholieke Universiteit
Leuven:
A joint EU project on next-generation
search technologies
Research collaboration, joint supervision Sweden
of Ph.D. students, sharing of personnel,
and funding of some researchers from
sources of the application groups
Field: medical genetics
Belgium
Professor Luc De Raedt
Collaboration in joint research projects
(currently April II and IQ), exchange of
personnel
Fields: Machine learning in relational
data
The VISICS team
A joint EU project on video
summarization
The ICRI-LIIR team
A joint EU project on text
summarization
Joint projects, exchange of researchers.
Fields: Algorithms and software for
retrieval and analysis of music
sequences.
Joint EU projects in the area of
mobile computing and communications
A joint EU project on next-generation
search technologies
King’s College, London:
Professor Costas
Iliopoulos
Lund University,
Department of
Information Technology:
Anders Ardö
Massachusetts Institute of
Technology (MIT),
Nathan Eagle
Computer Science and
Artificial Intelligence
Laboratory (CSAIL):
Associate Professor
Tommi Jaakkola
United Kingdom
Sweden
Research
USA
Yearly visits, joint research.
Fields: Machine learning methods and
their applications in modeling and
analysis of molecular biological
systems.
USA
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Media Lab: Nathan Eagle
National Technical
University of Athens,
Image, Video and
Multimedia Systems
Laboratory, Professor
Stefanos Kollias
Professor Foto Afrati
Michigan State
University, Frank Biocca
Osaka University,
Division of Mathematical
Sciences: Professor
Yutaka Kano
Polytechnique de
Grenoble : Dr. Patrick
Bas, Institut
Pomeranian Medical
University
Joint field experiment leading to Eagle's
PhD, joint journal paper
Joint EU projects in the area of
Greece
mobile computing and communications
=?
EU CALLAS project, development of
multimodal empathic applications
data mining
Research collaboration on projects and USA
publications
Joint supervision of PhD student (Shohei Japan
Shimizu), who visited us for 18 months
during his PhD and is now back for a
post-doc period.
Fields: Non-Gaussian probabilistic
modeling.
Fields. Image processing.
France
Joint research to develop methods for
finding regulatory motifs and cascades.
Integrated approach that combines
computational and wet lab techniques.
Fields: Regulatory patterns in genomes,
effect of SNPs on gene regulation.
Queen Mary and
Joint EU project in the area of
Westfield College London mobile computing and communications
Rutgers University:
Joint Ph.D. workshops
Associate Professor Liviu
Iftodé:
RWTH Aachen University Joint EU projects in the area of
of Technology
mobile computing and communications
Scottish Agriculture
Joint EU project on the are of mobile
College
communication applied in developing
countries
Stanford University,
Research collaboration and information
Byron Reeves
exchange
Swedish University of
A joint EU project on statistical analysis
Agricultural Sciences
of Baltic salmon population.
Technical University of
A joint EU project on next-generation
Denmark, Center of
search technologies
Knowledge Technology
(DTU): Gert Schmeltz
Pedersen
Technical University of
Joint EU projects in the area of
Madrid
mobile computing and communications
Tsinghua University,
A joint EU project on next-generation
Department of Computer search technologies, research exchange,
Poland
UK
USA
Germany
UK
USA
Sweden
Denmark
Spain
China
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Science and Technology,
China: Lizhu Zhou
Université Paris-Nord,
Laboratoire
d'Informatique (Paris 13):
Adeline Nazarenko
University Carlos III of
Madrid, Marcelo Bagnulo
University College
London; Professor John
Shawe-Taylor
joint workshop organization activities
A joint EU project on next-generation
search technologies
France
Standardization, research
Spain
Exchange of researchers and joint
projects.
Fields: Machine learning, statistical
machine translation, bioinformatics
Joint EU project
Fields: statistical multilingual analysis
for retrieval and translation
University Medical Center Fields: Genome structure and gene
Hamburg-Eppendorf,
mapping: Cytomolecular genetics.
Department of Tumor
Biology, Hamburg: Dr.
Harriet Wikman
University of Amsterdam, Research collaboration
Instituut voor
Informatierecht IVIR,
Professor Berndt
Hugenholtz
University of Antwerp
Exchange of researchers.
Fields: Inductive databases targeted to
applications in bioinformatics.
University of Antwerp,
Fields: Environmental research, forest
Department of Biology,
research, ecology; high-dimensional
Research Group of Plant data.
and Vegetation Ecology,
Antwerp: Professor Ivan
Janssens
University of Athens
Joint EU project in the area of
mobile computing and communications
University of Augsburg,
EU CALLAS project HCI studies of
Professor Elisabeth André Emotion recognition in multimodal
installations
University of Bielefeld:
Exchange of researchers, joint actions in
Professors Robert
PhD education
Giegerich and Jens Stoye Field: Biological sequence analysis,
bioinformatics.
University of California at Joint research
Riverside: Professor
Fields: Pattern discovery in complex
Dimitrios Gunopulos
data sets, spatiotemporal data
University of California at
Santa Cruz
Professor Dimitris
United Kingdom
Germany
Netherlands, the
Belgium
Belgium
Greece
Germany
Germany
USA
USA
NSF proposal in preparation.
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Achlioptas
University of California,
Berkeley
SIMS, Garage Cinema
Research Group: Marc
Davis
Fields: High-dimensional data, sums of
products
USA
Joint construction of a mobile media
application leading to several
publications at SIMS
CS Department, Professor Joint Ph.D. workshops, joint research
Randy Katz, Associate
Professor Anthony Joseph
CS Department, Professor
Michael Jordan
SIMS, Professor Hal
Varian
SIMS, Professor Annalee
Saxenian
ICSI & CS Department,
Professor Scott Shenker
SIMS, Professor Mark
Davis
SIMS, Professor Nancy
Van House
Sociology, Professor
Manuel Castells (also at
University of Southern
California)
University of Cambridge
University of Catania
Student exchange visits
Joint research, research visits
Joint research, research visits
Joint research, research visits, joint
experiments, joint research centre (in
preparation)
Joint research, research visits
Joint research, research visits
Joint research, research visits
Examining doctoral theses
Joint EU projects in the area of mobile
computing and communications
University of Cologne,
Research collaboration in European
Gary Bente
projects
University of Copenhagen Examining doctoral thesises
University of Edinburgh, Research collaboration
AHRC Centre for Studies
in Intellectual Property
and Technology Law,
Dean Hector MacQueen
University of Florence,
Joint research, exchange of researchers.
Florence
Fields: Probabilistic modeling using
inductive logic programming.
University of HamburgJoint research on HIP registration
Harburg (Murugarag
protocol
Shanmugam, Aarthi
Nagarajan)
University of Kassel
Joint project
Fields: Context-aware mobile systems
United Kingdom
Italy
Germany
Denmark
United Kingdom
Italy
Germany
Germany
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University of Konstanz:
Professor Michael
Berthold, Professor
Dietmar Saupe
University of Maastricht:
Professor Elia Formisano
and Professor Rainer
Goebel
University of Malmö,
Professor Pelle Ehn
University of Milan –
Bicocca, Professor
Giorgio De Michelis
University of Naples: Dr.
Fabrizio Esposito
University of Oxford,
Department of
Engineering Science, The
Visual Geometry Group
University of Paris 6
University of Parma
(UNIPR), Department of
Information Engineering,
Dr. Natalya Fedotova
University of Sao Paulo,
Laboratory of Computer
Architecture and
Networks, Prof. Tereza
Cristina M. B. Carvalho
University of Salford:
Drew Hemment
University of
Southampton,
Professor John-ShawTaylor
University of Surrey
University of Texas at
Arlington: Professor
Gautam Das
University of Tübingen
Cooperation in PhD programme
Fields: computer science
Germany
Fields: Brain imaging data analysis
methods. Specific topic: Stability
analysis of ICA and application of ICA
on data from different subjects.
Book writing and research on design
theory and studies
Book writing and research on design
theory and studies
Netherlands, The
Fields: Brain imaging data analysis
methods. Specific topic: Stability
analysis of ICA and application of ICA
on data from different subjects.
Joint EU project on image & video
analysis
Italy
Joint EU projects in the area of
mobile computing and communications
Joint research on HIP for P2P
France
Joint research on HIP measurements,
Hi3
Brazil
Sweden
Italy
United Kingdom
Italy
Location Oriented Critical Arts (LOCA) United Kingdom
project with two book chapters, a large
installation at the 2006 International
Symposium on Electronic Art and a
joint journal article
Joint EU project
United Kingdom
Fields: statistical multilingual analysis
for retrieval and translation
Joint EU project on information retrieval
methods, researcher visits
Joint EU projects in the area of
United Kingdom
mobile computing and communications,
context-aware mobile systems
Joint research.
USA
Fields: Pattern discovery, highdimensional data.
Joint research, research visits, joint
Germany
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and RWTH Aachen,
Klaus Wehrle
University of Utah,
Thomas Henderson
University of Wales
Aberysthwyth
Valencia Technical
University, Mariano
Alcaniz
Vienna University of
Technology, Professor Ina
Wagner, Thomas Psik
Waseda University,
Tatsuo Nakajima
RESEARCH
INSTITUTES
Centrum voor Wiskunde
en Informatica (CWI),
The Netherlands: Peter
Grünwald, Vitanyi
CNRS
European Bioinformatics
Institute (EBI): Dr. Alvis
Brazma
Foundation for Research
and Technology - Hellas
(FORTH)
Fraunhofer Institute
(GMD), Dr Wolfgang
Broll
Jan Ohlenburg
German Cancer Research
Center (DKFZ)
workshops,
Standardization, research
USA
Exchange of researchers.
Fields: Inductive databases targeted to
applications in bioinformatics.
Research collaboration in European
projects
United Kingdom
Spain
EU IPCity project Mixed reality in
Austria
urban environments and joint analysis of
field material
Research visits
Japan
A joint EU project on compressionbased modeling, a joint EU project on
MDL theory, several short- and longterm research visits;
Joint project
Fields: context-aware mobile systems
A joint EU project on visual recognition
Type: research collaboration on analysis
of gene expression and gene regulation,
exchange of researchers, joint project
Field: gene expression data analysis
Joint EU projects in the area of
mobile computing and communications
Netherlands, the
France
United Kingdom
Greece
Joint EU projects in the area of
Germany
mobile computing and communications,
context-aware mobile systems
=?
Research collaboration (software
infrastructure, IPCity)
Joint research to develop methods for
Germany
finding regulatory motifs and cascades.
Fields: Regulatory patterns in genomes,
effect of SNPs on gene regulation.
German Research Centre Joint research
for Artificial Intelligence
(DFKI), Anthony Jameson
INRA - Institut National
A joint EU project on next-generation
de la Recherche
search technologies
Agronomique:
Claire Nédellec
INRIA
Germany
France
France
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Joint EU and ESA projects in the area of
mobile computing and communications
INRIA Rocquencourt
Joint research, exchange of researchers.
Fields: Probabilistic modeling using
inductive logic programming.
INRIA Lyon, the LEAR
team
Joint Research Centre
(JRC), Ispra, Institute for
the Protection and
Security of the Citizen:
Clive Best
Max-Planck
Institute for Biological
Cybernetics, Tübingen,
the Empirical Inference
for Machine Learning and
Perception department
Swedish Institute of
Computer Science (SICS),
Kristina Höök, Bengt
Ahlgren
Swedish National Board
of Fisheries SNBF
Enterprises
3eyes Ltd: Theo
Humphries
Agora Systems
A joint EU project on visual recognition
Alcatel
Alcatel-CIT
ALMA Bioinformatica,
S.L.,
BellStream SP.z.o.o,
Szczecin
Boeing Phantom Works,
Dr. Tom Henderson
British Telecom
CIT
CSEM Centre Suisse
d’electronique et de
Microtechnique
Deutsche Telekom
Joint research regarding Europe Media
Monitor.
- Applying language technology to
process epidemiological text
collections
A joint EU project on semi-supervised
learning
Italy
Research, joint project
Sweden
Germany
A joint EU project on statistical analysis Sweden
of Baltic salmon population
Joint research and art installations
Fields: Context-awareness and privacy
Joint EU projects in the area of
mobile computing and communications
Joint research projects
Fields: context-aware mobile systems
Joint research project
Fields: context-aware mobile systems
A joint EU project on next-generation
search technologies
Joint project
Fields: Context-aware mobile systems
Co-chairing IRTF research group on
HIP, joint research on HIP deployment
Joint EU projects in the area of
mobile computing and communications
Joint EU projects in the area of
mobile computing and communications
Joint project
Fields: context-aware mobile systems
United Kingdom
Joint research
Germany
Spain
Belgium
France
Spain
Poland
USA
UK
Denmark
Switzerland
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Laboratories, Sebastian
Möller, Michael Rohs
DoCoMo
Communications
Laboratories Europe
GmbH, Munich
Engineering, Massimo
Bertoncini
European Media
Laboratory GmbH (EML)
European Software
Institute
Exalead SA
Joint project
Fields: Mobile computing and
communications;
Context-aware mobile systems
EU CALLAS project Partners in
demonstration and trials
Joint EU project in the area of
mobile computing and communications
Joint project
Fields: context-aware mobile systems
A joint EU project on next-generation
search technologies
Fagor
Joint project
Fields: context-aware mobile systems
Febit Biotech GmbH
Joint research
Fields: Regulatory patterns in genomes,
effect of SNPs on gene regulation.
France Telecom
Joint EU projects in the area of
mobile computing and communications
Google Inc.
Fields: database systems
Hewlett-Packard Italiana Joint project
srl. Cernusco Sul Naviglio Fields: Context-aware mobile systems
Ikerlan
Joint project
Fields: context-aware mobile systems
Index Data Aps
A joint EU project on next-generation
search technologies
Intel Research Seattle: Ian Co-organisation of a workshop in
Smith
MobileHCI 2004, researcher exchange
Intracom
Joint EU projects in the area of
mobile computing and communications
Italtel
Joint EU projects in the area of
mobile computing and communications
LM Ericsson Ab
Joint projects
Fields: Mobile computing and
communications;
Context-aware mobile systems
Megaskills
Joint EU project on the are of mobile
communication applied in developing
countries
Microsoft, Search Labs;
Fields: information technology, database
Dr. Rakesh Agrawal
systems
Microsoft Cambridge,
Conference papers, joint research on
Tuomas Aura
HIP security analysis
Motorola Ltd,
Joint project
Basingstoke Hants
Fields: Context-aware mobile systems
Motorola SAS, Gif Sur
Joint project
Yvette
Fields: Context-aware mobile systems
Germany
Italy
Germany
Spain
France
Spain
Germany
France
USA
Italy
Spain
Denmark
USA
Greece
Italy
Sweden
United Kingdom
USA
United Kingdom
United Kingdom
France
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NEC Europe Ltd
NEOS Engineering SRL,
Brescia
NTT DoKoMo
Océ
Philips
Portugal Telecom
Inovação
Robotiker
Saia burgess
Siemens
Hannes Tschofenig
Sony
Stichting Telematica
Instituut, Enschede,
Netherlands
Telecom Italia SpA
Joint EU projects in the area of
mobile computing and communications,
context-aware mobile systems
Joint research on RVS implementation
for HIP
Joint project
Fields: Context-aware mobile systems
Joint EU projects in the area of
mobile computing and communications
Joint project
Fields: context-aware mobile systems
Joint research projects
Fields: context-aware mobile systems
Joint EU projects in the area of
mobile computing and communications
Joint project
Fields: context-aware mobile systems
Joint project
Fields: context-aware mobile systems
Joint EU projects in the area of
mobile computing and communications,
context-aware mobile systems
Germany
Italy
Germany/Japan
Netherlands, the
Netherlands, The
Portugal
Spain
Spain
Germany
Standardization, conference papers, joint
research on HIP middleboxes
Joint EU projects in the area of
Germany/Japan
mobile computing and communications
Joint project
Netherlands, the
Fields: Context-aware mobile systems
Joint project
Fields: Context-aware mobile systems
Joint research on HIP implementation
evaluation
Telematica Instituut
Joint project
Fields: context-aware mobile systems
TeliaSonera Sweden, Owe Research on service science and design
Lavin
Thales
Joint EU projects in the area of
mobile computing and communications
T-Mobile
Joint EU projects in the area of
mobile computing and communications
UNIS, spol. S.r.o., Brno
Joint project
Fields: Context-aware mobile systems
Visual Tools
Joint project
Fields: context-aware mobile systems
Xerox Research Centre
Joint EU project
Europe, Grenoble
Fields: statistical multilingual analysis
for retrieval and translation
Italy
Netherlands, the
Sweden
France/UK
Germany
Czech Republic
Spain
France
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Nicola Cancedda
Yahoo! Research
Barcelona: Professor
Ricardo Baeza-Yates,
Professor Raghu
Ramakrishnan
Yahoo! Research
Berkeley: Marc Davis,
Mor Naaman
Networks of Excellence,
European projects, other
networks
Biosapiens – European
Network of Excellence for
Integrated Genome
Annotation, Dr. Janet
Thornton, European
Bioinformatics Institute,
Hinxton, UK
Canadian Institute for
Advanced Research
network Neural
Computation and
Adaptive Perception,
organized by Geoffrey
Hinton, Toronto.
MINEMA, Middleware
for Network Eccentric and
Mobile Applications (ESF
programme)
PASCAL – European
Network of Excellence on
Pattern Analysis,
Statistical Modeling and
Computational Learning.
Joint EU projects in the area of text
analysis and information retrieval
Exchange of researchers, joint projects
Field: Web mining, text mining,
information retrieval
Spain
Joint research on social media
USA
Joint research, exchange of researchers,
researcher education.
Fields: Analysis and annotation of
biological sequences.
Europe
Joint research
Canada
Exchange of researchers, researcher
Europe
education
Fields: mobile computing and
communications
Exchange of researchers, researcher
Europe
education, research seminars.
Fields: Europe-wide Distributed Institute
which will pioneer principled methods
of pattern analysis, statistical modelling
and computational learning.
13th European Conference International scientific conference with International
on Machine Learning
about 200 participants
(ECML'02) and 6th
European Conference on Program chairs: Tapio Elomaa, Heikki
Principles and Practice of Mannila, Hannu Toivonen; organizing
Knowledge Discovery in chair: Helena Ahonen-Myka
Databases (PKDD'02), 1923 August, 2002, Helsinki
1st International Mobile
International workshop, organiser: Olli International
IPR Workshop: Rights
Pitkänen
Management of
Information Products on
the Mobile Internet
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Proactive Computing
Workshop (PROW 2004),
25-26 November, 2004,
Helsinki
Seminar on Challenge of
Creative Economy, 1 June
2005, Helsinki,. Finland
Workshop on ContextAwareness for Proactive
Systems (CAPS 2005),
16-17 June, 2005,
Helsinki
International PhD student workshop
conference with 54 participants
Organiser: Greger Lindén
International
The Finnish Parliament's Committee and International
HIIT co-organisers. Speakers at the
event included the Minister of Treasury
Antti Kalliomäki, Professor Manuel
Castells, PhD Pekka Himanen and CEO
Matti Alahuhta. The seminar was
chaired by the chairman of the
Committee for the Future, Member
of Parliament Jyrki Katainen.
International scientific workshop
International
conference with 33 participants
Program Chairs: Patrik Floréen, Kimmo
Raatikainen, organisers: Greger Lindén,
Tiina Niklander
International Workshop
International scientific workshop
International
on Intelligent Information conference with 45 participants
Access (IIIA 2006), 6-8
July, 2006, Helsinki
Co-chairs: Wray Buntine, Henry Tirri
Organising chair: Petri Myllymäki,
Dagstuhl Seminar 06441: Co-Chair: Andrei Gurtov
International
Naming and Addressing
for Next-Generation
Internetworks
4.6. Describe the most important outcomes of the visits and
collaboration contacts (max. 1 page)
Describe here e.g. key joint publications, researcher training, adoption and use of new technologies
or new approaches.
At the scale of HIIT, a one-page summary can only mention the outcomes that have largest
importance to the unit. Strategically, the most important link is the co-operation with University of
California at Berkeley, launched in 2000. This work has focused on four thematic areas:
1. The work on Digital Economy was carried out in co-operation with prof. Hal Varian during
2000-2005. To date, this has contributed directly to three doctoral dissertations in HIIT and
also one at LTKK.
2. The work on Social Media has been in collaboration with Profs. Annalee Saxenian, Nancy
Van House, and Marc Davis since 2004. To date, one doctoral dissertation has resulted
directly from this ongoing work. The work has also spilled over to Yahoo! Research Berkeley.
3. The line of work on Internet Architecture with prof. Scott Shenker et al. was launched in
2004. It has been carried out through researcher visits at ICSI, joint publications, and joint
experimentations using the PlanetLab test infrastructure. At present, ICSI and HIIT have
agreed to establish a joint Center for Novel Internet Architecture, expected to be launched in
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June, 2007. The center will carry out long-term research on the basis of a joint research
agenda, and facilitate further research visits, joint research projects, and industry co-operation.
4. The line of work on Mobile Middleware with Professor Randy Katz was launched in 2001. In
this line, joint doctoral student workshops (“Summer Schools”) were run in 2001-2004. The
research visit of Professor Anthony Joseph in 2004 was thematically connected with this line.
The doctoral student workshop on Spontaneous Networking carried out at Rutgers University
in 2006 continues the tradition of the Mobile Middleware summer schools with a new partner,
Prof. Liviu Iftode. The first workshop was run in May, 2006 and a second will take place on
May 28 – June 1, 2007.
The international network on Internet Architecture covers also Prof. Klaus Wehrle from Universität
Tübingen and lately RWTH Aachen, Dr. Bengt Ahlgren from SICS, Dr. Thomas Henderson from
Boeing, Prof. Raman Bhaskaran from IIT Kanpur, and many others worldwide. The co-operation
has been carried out by mutual research visits and joint workshops (e.g., joint Dagstuhl seminar in
2006). HIIT’s work also has a strong presence in the IETF/IRTF community resulting to c. 10
Internet drafts related to the HIP protocol and its infrastructure.
The on-going co-operation with Professor Manuel Castells (UC Berkeley, University of Southern
California) has focused on Global Network Society research. The work has resulted in several
monographs and has also contributed to the vision and goal-setting of HIIT’s Network Society
research.
We have started a long-term collaboration and research visit programme, focusing on statistical
inference methods, with Professor Tommi Jaakkola’s group at MIT, Laboratory of Computer
Science and Artificial Intelligence.
The co-operation with Tsinghua University (Professor Zhou Lizhu) has focused on Future Search
research. The work has been carried out in connection with the ALVIS EU IST project. Research
visits in both directions have been facilitated also by national funding in both sites. A main result of
this research has been support for Chinese language preprocessing and indexing in the nextgeneration search engine created in the research. Other proposals with Tsinghua are being prepared.
The 4-month research visit of Professor Tatsuo Nakajima from Waseda University in 2005 resulted
in a researcher exchange starting from 2006. The present joint line of research focuses on
Ubiquitous Computing and Virtual Economy. A joint project is currently submitted.
Lately, HIIT has become well integrated in the European scene related to Multimodal Interfaces
and Mixed Reality. This has resulted in several joint projects, demonstrations, and installations. We
are also we are writing a monograph on design between digital and physical with Professors Pelle
Ehn, Giorgio de Michelis, Ina Wagner and Thomas Binder.
In addition to the above-mentioned co-operations, in 2000-2006 we have published more than 30
archive-level articles with foreign collaborators. We have also participated in 13 EU projects and
several Networks of Excellence. Most other projects, too, have included international co-operation,
especially the 4 Eureka activities we have participated in.
Another dimension of the collaborations is HIIT’s significant impact on several other sciences. New
computational methods designed in HIIT-BRU have produced new and important methods and
results for the various applications (published, e.g., in Science (ISI impact factor 30.9), Cell (29.4),
American journal of human genetics (12.6), Genetic epidemiology (5.1), Genomics (3.2), Nature
protocols, Ecology (4.5), Ecological applications (3.8), Paleobiology (2.6), Vision research (2.0),
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Atmospheric chemistry and physics (3.5), Bioinformatics (6.0), BMC Bioinformatics (5.0)).
Furthermore, the use of novel methods is changing the way many researchers in other sciences
operate: study designs are changing when new possibilities for data analysis are opened. In such
fields as gene regulation, gene mapping, paleontology, and linguistics our work is currently strongly
influencing the future plans of the application sciences.
4.7. Non-academic collaboration
List here the Non-academic collaboration, e.g. industry contacts.
Name and Organisation Type of collaboration
Enterprises and standardisation organisations
Allied Telesyn Research Guest lecture: Wireless
Internet Research at the
University of Helsinki,
Kimmo Raatikainen
BayesIT
Spin-off company
focusing on data
visualization tools
Docomo, Julien Laganier Standardization work
Ekahau Inc
Spin-off company
focusing on real-time
location systems in
wireless networks
Ericsson, Petri Jokela
Standardization
Ericsson, Shinta
Standardization work
Sugimoto
Helsingin Sanomat
Consultation on candidate
selection assistant systems
used in several national
elections (Finnish
parliament elections in
2003 and 2007, EU
parliament election in
2004)
Jaiku Ltd.
Commercialization of the
ContexContacts
application on top of the
ContextPhone platform at
Jaiku Ltd, Finland.
Kibron Inc.
Consultation on
Multivariate Biological
Data Analysis
NEC, Martin Stiemerling Standardization, research
Nokia (NRC, NET,
Consultation on
Multimedia, NMP, TP,
middleware research and
SIR)
standardization
Nokia Research Center
Professor Kimmo
(NRC)
Raatikainen, part-time
Country
New Zealand
Finland
Germany
Finland
Finland
Japan
Finland
Finland
Finland
Germany
Finland
Finland
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Space Systems Finland
IETF
IETF
IETF
IRTF
OMG
Telia-Sonera, Jouni
Korhonen,
W3C
Principal Scientist 2000Joint project on fault
diagnosis of space
satellites
Active participation is the
following working
groups: dccp, mobots,
nsis, pilc, seamoby,
tcpimpl, tcpsat, tcpm,
tsvwg
Editorship of the
following RFCs: 2757,
3135, 3150, 3155, 3753,
4094, 4138
Contributions to the
following RFCs: 3374,
3726, 4081, 4230
Co-chairing HIP research
group, many RFC’s
Leadership in Wireless
Access and Terminal
Mobility in CORBA
standard
Standardization
Member of Binary XML
Characterization WG,
Efficient XML
Interchange WG, Mobile
Web Initiative
W3C
Active participation in
Advisory Committee
Wireless World Research Contributions to Service
Forum
Architectures for the
Wireless Future
Other organisations
Deutsche Welle
Partners in demonstration
Germany, Wilfried
and trials
Runde
European Space Agency Joint project on fault
(ESA)
diagnosis of space
satellites
Helsinki Information
Consultation on a ITTechnology Association specific candidate
(HITA)
selection assistant system
used in the Finnish
parliament election in
2007
Finland
International
International
International
International
International
Finland
International
International
International
Germany
Europe
Finland
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5. Other scientific and societal activities
5.1. Invited presentations in scientific conferences
Invited plenary talks, and other invited talks.
Name
Topic of presentation
Buntine, Wray Opportunities from
Open Source Search
Name and time of the conference
2005 IEEE/WIC/ACM International
Conference on Web Intelligence (WI 2005),
Compiegne, France, September 2005
Buntine, Wray Discrete Principal
PASCAL's Subspace, Latent
Components Analysis Structure and Feature Selection techniques:
Statistical and Optimisation perspectives
Workshop, Bohinj, Slovenia, February 2005
Buntine, Wray Open Source Search: A 4th IEEE International Conference on Data
Data Mining Platform Mining (ICDM 2004), Brighton, United
Kingdom, November 2004
Buntine, Wray Automated Synthesis of 14th International Conference on Inductive
Data Analysis
Logic Programming (ILP 2004), Porto, Portugal,
Programs: Learning in September 2004
Logic
Hyvärinen,
Why would factors of Factor Analysis Centennial Symposium, Osaka,
Aapo
components be nonJapan, October 2004
normal and squarecorrelated?
Hyvärinen,
Statistical models of
International and Interdisciplinary Conference on
Aapo
images and early vision Adaptive Knowledge Representation and
Reasoning (AKRR 2005), Espoo, Finland, June
2005
Hyvärinen,
Score matching: a new International Conference on Neural Information
Aapo
alternative to MCMC
Processing (ICONIP), Hong Kong, 2006.
matching for estimation
of non-normalized
statistical models
Jacucci, Giulio Ubiquitous Interaction E1 “Interface” projects assembly, EU
Challenges
commission, Luxembourg January 2006
Komu, Miika An Indirect Approach Naming and Addressing for Next Generation
to Application Layer
Internetworks, Dagstuhl, November 2006
Identifiers
Lehmuskallio, Pictures of Models as
Media Rituals, 10.–11.11.2006
Asko
Superhuman Beings?
Lehmuskallio, Asko
Is the medium still the Performing Places - Media and Embodiment in
message? Notes on
the Urban Environment, 7.–9.11-2006
agency and mediated
communication
practices
Lehmuskallio, Käyttäjätutkimuksen
Käyttäjätutkimus, 3.10.2006
Asko
poliittiset ulottuvuudet
Leino, Antti
Spatial data mining as United Nations Group of Experts on
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an onomastic tool
Geographical Names, Norden Division,
Helsinki, October 2003
Lindén, Greger Proactive Computing
Tales of the Disappearing Computer conference,
and PROACT
Santorini, Greece, June 2003
Mannila,
Data mining methods
7th ACM Conference on Computer and
Heikki
for hunting rare
Communications Security (CCS-2000), Athens,
phenomena
Greece, November 2000
Mannila,
Decomposition of event First SIAM Conference on Data Mining
Heikki
sequences into
Chicago, USA, April 2001
independent
components
Mannila,
Global and local
29th International Colloquium on Automata,
Heikki
methods in data
Languages, and Programming (ICALP 2002),
mining: basic
Málaga, Spain, July 2002
techniques and open
problems
Mannila,
Global structure from
IEEE International Conference on Data Mining
Heikki
sequences
(ICDM 2003), Melbourne, USA, November
2003
Mannila,
Finding fragments of
6èmes journées francophones Extraction et
Heikki
orders and total orders Gestion des Connaissances (EGC 2006),
from 0-1 data
Villeneuve d’Ascq, France, January 2006
Myllymäki,
Intelligent Information seminar on technologies of the future, Finnish
Petri
Access
Defence Forces, Helsinki, Finland, May 2006
Myllymäki,
B-course: a web-based Finnish Mathematical Days 2006 (Tampere,
Petri
tool for Bayesian and
January 2006
causal data analysis
Mäntylä,
Towards
PSIPS-2004 workshop (Oulu, January 2004)
Martti
Understanding User
Experience of
Contexts: Work-inProgress Report
Nikander,
Trustworthiness as an
Credential-basierte Zugriffskontrolle in offenen,
Pekka
Asset
interoperablen IT-Systemen, Dortmund,
Germany, October 2, 2002.
Nikander,
TCP and UDP in the
NordU'2001, Stockholm, Sweden, February 14Pekka
Mobile World, or What 16, 2001.
is Wrong with Mobile
IP version 6, and How
to Fix it
Nikander,
HIP Research Group
Internet Engineering Task Force, Plenary, 10
Pekka
Activities and
March 2005
Roadmap
Näsänen, Jaana Visual Interaction:
A presentation at the Closer Look conference in
Photos on the Internet Roskilde
November, 23 – 24, 2006
Pitkänen, Olli What Is Wrong with
Workshop on Context-Awareness for Proactive
Maria? Privacy
Systems (CAPS 2005)
Concerns in ISTAG
Scenario
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Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Wireless CORBA
Interworking Issues in
Parlay Specifications
Integrating Parlay Into
Mobile Network
Architectures
CORBA in Mobile
Computing
Middleware for Mobile
Computing
Middleware for Mobile
Applications Beyond
3G
Introduction to Mobile
Internet Technical
Architecture
CORBA in Mobile
Computing
Internet Protocols for
Wireless World
XML in Wireless
World
Wireless Internet Challenges and
Solutions
Wireless Internet Challenges and
Solutions
Recent Developments
in Middleware
Standardization for
Mobile Computing
Wireless Internet Challenges and
Solutions
A New Look at Mobile
Computing
Research and
International
Standardization
Operating System
Issues in Wireless Adhoc Networks
A New Look at Mobile
Computing
Recent Developments
in Middleware
Standardization for
IIR CORBA in Telecom Conference, March
2000, Dublin, Ireland
Parlay Meeting, January 9, 2001, Singapore.
IIR Parlay Workshop, September 21, 2001,
Cannes, France
Tieturi Wireless Developer Conference,
November 8, 2001, Helsinki
TecIT Forum, January 23-24, 2002, Helsinki
SmarNet 2002, April 8-10, 2002, Saariselkä
IEEE NZ Wireless Workshop, September 5,
2002, Christchurch, New Zealand
OMG Information Day, March 3, 2003, Helsinki
ANWIRE Workshop on Wireless, Mobile, &
Always Best Connected, April 22, 2003,
Glasgow, UK
W3C-Finland Workshop on Web Services and
Semantic Web, Espoo on May 6, 2003
Finnish Data Processing Week (FDPW'2003),
Petrozavodsk, Russia on June 25, 2003
NETS Workshop, Tokyo, November 12-17, 2003
ANWIRE Winter School, January 20-23, 2004,
Nicosia, Cyprus
MiNEMA Workshop, Dublin, January 29-30,
2004
ANWIRE Workshop on Wireless Internet and
Reconfigurability, Athens, May 14, 2004
NETS/Tekes: Finland-Japan Workshop on
Future Networks, Oulu, June 4, 2004
IWWAN 2005 in London, May 25, 2005
IWTC'05 in Oulu, June 8, 2005
MiNEMA Summer School in Klagenfurt,
Austria, June 11-15, 2005
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Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raento, Mika
Raento, Mika
Raento, Mika
Raento, Mika
Raento, Mika
Rissanen,
Jorma
Rissanen,
Jorma
Saari, Timo
Saari, Timo
Saari, Timo
Saari, Timo
Saari, Timo
Saari, Timo
Mobile Computing
Operating System
Issues in Future EndUser Systems
Are we forking in Web
data access
Zero-effort media use
The ContextPhone
Concept on the Nokia
Series 60 Smart Phone
Social Peripheral
Vision
PIMRC 2005 in Berlin, September 13, 2005
Lightning talk at W3C AC Meeting, Montreal,
November 30, 2005
Reboot 8.0, Copenhagen, Denmark, June 2006
International Research Workshop on Ubiquitous
Services, Mobile Virtual Center of Excellence,
Basingstoke, United Kingdom, December2006
Aula 2006, invitation-only session, Helsinki,
Finland, June 2006, with Jyri Engeström
Jaiku: Jabber the
7th Free and Open source Software Developers'
mobile
European Meeting (FOSDEM 2007), Brussels,
Belgium, February 2007
Ubiikkiteknologia tulee Interaktiivinen tulevaisuus & IHMINEN
- miten käy
yksityisyyden?
The Structure Function
and Distinguishable
Model of Data
Information and
Complexity in
Statistical Modelling
Multidisciplinary
research collaboration
with Stanford
University in
technology research.
Opportunities for
Finland.
Mind-Based Media and
Communications
Technologies
Mind-Based Media and
Communications
Technologies.
Implications for Media
Business
Mind-Based
Technologies.
Overview, Research
Methods and Key
Application Areas.
Researching the new
mass media
Mobile media
psychology
(ITI’06), Tampere, Finland, November 2006
The Kolmogorov Medal and Lecture Annual
Series, Royal Holloway, Univ. London, February
2006
IEEE Information Theory Workshop, Punta del
Este, Uruguay, March 2006
Annual seminar of Fenix- technology program of
the National Technology Foundation (TEKES) in
Dipoli, Espoo, Finland, 19.4. 2005.
ATR Media Information Science Lab, Kyoto,
Japan, 14.5. 2002.
NHK Science & Technical Research
Laboratories, Human Science Group, Tokyo,
Japan, 16.5. 2002.
A 3 hour lecture at Department of Computer
Science, University of Oulu, Finland, 29.9. 2004.
A lecture in Michigan State University,
Department of Information, Telecommunication
and Media. 12th Oct, 2005.
A lecture at Temple University, 19.1. 2006.
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Computer Science in Finland 2000-2006
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Saari, Timo
Researching mobile
media. Methods and
examples from the
wild.
Saari, Timo
Psychology of mobile
social media.
Toivonen,
Gene mapping - a case
Hannu
study in pattern
discovery and
evaluation
Turpeinen,
Proposals for MediaMarko
related R&D at EU
Turpeinen,
Future Challenges of a
Marko
Media Company
Turpeinen,
Open Content – Second
Marko
Wave of Digital
Openness
Turpeinen,
Media Consumers as
Marko
Media Producers
Turpeinen,
It’s a Phone, not a
Marko
Console!
Turpeinen,
Interactive Media Five
Marko
Years After the
Techno-boom
Turpeinen,
Will there be losers or
Marko
winners in the future
media?
Ukkonen, Esko Hidden Markov
Modelling Techniques
for Haplotype Analysis
Ukkonen, Esko In the search of motifs
(and other hidden
structures)
Ukkonen, Esko Suffix-tree techniques
& Haplotyping with
hidden Markov models
& Prediction of gene
regulatory elements
Ukkonen, Esko Bioinformatics calling
Ukkonen, Esko Computational methods
for haplotype
reconstruction and for
enhancer element
prediction
A lecture in UC Berkeley, School of Information
Systems and Management, 27.1. 2006.
A lecture at Yahoo! Research at Berkeley. 17.11.
2005.
11th International Conference on Inductive Logic
Programming (ILP-2001), Strasbourg, France,
September 2001
Knowledge Management and Content Creation
Expert Roundtable, Luxembourg, 1.12.2003
eGlobal Conference, Tampere, 22.3.2004
Open Mind 2004, Tampere, 10.11.2004
Mediamorphosis seminar, Helsinki, 30.11.2004
Game Developers Conference, San Francisco,
8.3.2005
VaikuttajaForum, Kontakti.net, Kirkkonummi,
12.5.2005
KCL’s 90th Anniversary Symposium, Espoo,
24.1.2006
7th International Conference on Discovery
Science / 15th International Conference on
Algorithmic Learning Theory (DS 2004 / ALT
2004), Padova, Italy, October 2004
16th Annual Symposium Combinatorial Pattern
Matching (CPM 2005), Jeju, Korea, June 2005
Erice International School " The Analysis of
Patterns " (4 hours of lectures); Erice, Italy,
November 2005
Finnish Computer Science Days, May 2006
Workshop “Algorithms in Bioinformatics”
(AlBio 2006), J.V. Poncelet Laboratory,
Moscow, Russia, July 2006
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5.2. Memberships in editorial boards of scientific journals
Give only the most important memberships and prizes.
Name
Buntine, Wray
Buntine, Wray
Buntine, Wray
Hyvärinen, Aapo
Hyvärinen, Aapo
Hyvärinen, Aapo
Hyvärinen, Aapo
Hyvönen, Eero
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mäntylä, Martti
Myllymäki, Petri
Raatikainen,
Kimmo
Saari, Timo
Saari, Timo
Saari, Timo
Tirri, Henry
Tirri, Henry
Tirri, Henry
Toivonen,
Hannu
Toivonen,
Hannu
Toivonen,
Hannu
Ukkonen, Esko
Ukkonen, Esko
Ukkonen, Esko
Journal
Data Mining and Knowledge Discovery
New Generation Computing
Statistics and Computing
Action Editor of Journal of Machine Learning
Research
Editor-in-Chief of the International Journal of Neural
Systems
Action Editor of Neural Computation
Faculty of 1000 Biology, Theoretical Neuroscience
Section
International Journal of Metadata, Semantics and
Ontologies
IEEE Transactions on Knowledge and Data
Engineering
Associate Editor of ACM Transactions on Internet
Technology
Editor-in-Chief of Data Mining and Knowledge
Discovery
Associate Editor of ACM Transactions on Database
Systems
ACM Transactions on Knowledge Discovery from
Data
Journal of Computing and Information Science in
Engineering (Transactions of the ASME)
Entropy: An International Journal of Entropy and
Information Studies
International Journal of Wireless and Optical
Communications
Human Communication Research
Intermedia
Communications of the ACM
International Journal of Mobile Communications
International Journal of Neural Systems
Web Intelligence and Agent Systems An International
Journal
Action Editor of Data Mining and Knowledge
Discovery
International Journal of Data Mining and
Bioinformatics
The Open Applied Informatics Journal
Period
2004200120062004-
Associate Editor of the IEEE-ACM Transactions on
Computational Biology and Bioinformatics
Editor-in-Chief of the Nordic Journal of Computing
Journal of Universal Computer Science
2004-
2001-2006
20052006200420022002-2004
2002-2005
200420061999-2004
2000-2006
20031/200620001/2006200220022002200520062007-
1994200180
Computer Science in Finland 2000-2006
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Name
Myllymäki,
Petri, Rissanen,
Jorma, Rousu,
Juho, Roos,
Teemu
Raatikainen,
Kimmo
Edited special issues of scientific journals
Year
The EURASIP Journal on Bioinformatics and Systems 2006-2007
Biology, Guest editors for a special issue on
Information-Theoretic Methods for Bioinformatics,
2006-2007.
Special feature on middleware for mobile & pervasive 2002
computing: special issue, Mobile computing and
communications review 2002(4)
5.3. Prizes awarded to researchers, honours and scientific positions of
trust
Give only the most important memberships and prizes.
Name
Alanko, Timo
Gurtov, Andrei
Himanen, Pekka
Himanen, Pekka
Himanen, Pekka
Hyvönen, Eero
Hyvönen, Eero
Prize, position etc.
Honorary Doctor of Petrozavodsk State University 2002
Co-chair of HIP Research group in Internet Research Task Force
Global Leader for Tomorrow, World Economic Forum 2003
Expert to the Finnish Parliament, The Committee for the Future, 20032004
Expert to the International Labor Organization High-Level
Commission on Globalization
Finnish Prime minister’s honourable mention for most innovative web
application (MuseoSuomi), in the Laatua verkkoon competition
(Quality on the web), 2004.
Nordic Digital Excellence in Museums (Nodem 2004), nominee for the
prize, 2004.
Semantic Web Challenge Award 2004 to MuseoSuomi, 11 November
2004
Hyvönen, Eero
and the Seco
research group
Kemppinen Jukka TeliaSonera prize of Information Technology, especially education 10 000 eur 2006
Kontkanen, Petri CoIL Challenge 2000, 2nd prize
Lepola, Tuomas
Pascal Challenge on Inferring Relevance From Eye Movements, 1st
prize, 2005
Mannila, Heikki
ACM Special Interest Group on Knowledge Discovery and Data
Mining (SIGKDD) Innovations Award 2003
Mannila, Heikki
Steering Committee Member, European Conference on Principles and
Practice of Knowledge Discovery in Databases (PKDD) 2001-2005
Mannila, Heikki
Steering Committee Member, European Conference on Machine
Learning (ECML) 2003-2005
Mannila, Heikki
Member of ACM SIGKDD Curriculum Committee, 2003-2005
Mannila, Heikki
Chairman of the ESFRI Expert Group on Computing and Data
Treatment, 2005-2006
Mannila, Heikki
Member of ESFRI Steering group for Physical Sciences and
Engineering, 2005-2006
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Mannila, Heikki
Senior Scientific Advisor of the Finnish IT Center for Science (CSC),
2006-2007
Mannila, Heikki
Vice Chair of the Finnish Genome Center, 2006-, Board Member of
the Finnish Genome Center, 1998Mannila, Heikki
Vice member of the board of the Finnish Institute for Molecular
Medicine, 2007Mäntylä, Martti
Information Technology Distinction Award 2005, The Finnish
Information Processing Association (FIPA)
Mielikäinen,
The doctoral dissertation award of the Finnish Society for Computer
Taneli
Science, 2006
Miettinen, Miikka, Outstanding Paper Award: Adaptive Profiling Tool for Teacher
Nokelainen,
Education. Pp. 1153-1157 in Proceedings of the SITE 2002 Conference
Pekka, Kurhila,
(Nashville, USA, March 2002).
Jaakko Silander,
Tomi Tirri, Henry
Miettinen, Pauli,
Best paper, The Discrete Basis Problem, 10th European Conference on
Mielikäinen,
Principles and Practice of Knowledge Discovery in Databases (PKDD
Taneli, Gionis,
2006)
Aristides, Das,
Gautam, Mannila,
Heikki
Myllymäki, Petri Pascal EU Network of Excellence, member of the Pascal steering
committee, 2003-2007, and manager of the special interest group on
Information-Theoretic Modelling, 2005-2007
Myllymäki, Petri The 24th Conference on Uncertainty in Artificial Intelligence (UAI
2008), programme chair
Raento, Mika
Forum Nokia Champion 2005 (www.forum.nokia.com)
Raatikainen,
Erskine Fellowship, University of Canterbury, New Zealand, 2002
Kimmo
Rissanen, Jorma
Kolmogorov medal 2004 (Royal Holloway, University of London.)
Reti, Tommo,
The DiMaS system won the title "The Best e-Business Application in
Sarvas, Risto
Finland" and the nomination to represent Finland in World Summit
Award 2005.
Rissanen, Jorma
Member of Finnish Academy of Science and Letters, 2002Riva, Oriana
Nokia scholarship (November 2005)
Roos, Teemu,
Best paper award: Generalization to Unseen Cases, The 17th BelgianGrünwald, Peter, Dutch Conference on Artificial Intelligence (BNAIC 2005).
Myllymäki, Petri,
and Tirri, Henry
Sarvas, Risto
Nominated for best doctoral dissertation of year 2006 (The Finnish
Society for Computer Science)
Silander, Tomi
KDD Cup 2001, 2nd prize
Toivonen, Hannu Steering Committee Member, European Conference on Principles and
Practice of Knowledge Discovery in Databases (PKDD) 2003-2005
Toivonen, Hannu Steering Committee Member, European Conference on Machine
Learning (ECML) 2003-2005
Toivonen, Hannu International Conference on Machine Learning (ICML 08), July 2008,
Helsinki, local chair
Ukkonen, Esko
Member of Finnish Academy of Science and Letters, 200082
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Ukkonen, Esko
Ukkonen, Esko
Ukkonen, Esko
Name
Bingham, Ella
Bingham, Ella
Buntine, Wray
Buntine, Wray
Buntine, Wray
Buntine, Wray
Buntine, Wray
Buntine, Wray
Buntine, Wray
Buntine, Wray
Buntine, Wray
Buntine, Wray
Floréen, Patrik
Floréen, Patrik
Gurtov, Andrei
Gurtov, Andrei
Gurtov, Andrei
Hollmén, Jaakko
Hollmén, Jaakko
Hollmén, Jaakko
Hollmén, Jaakko
Hyvärinen, Aapo
Hyvärinen, Aapo
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Board member of the Institute of Biotechnology 2002Board member of the Helsinki Area Master's Programme in
Biotechnology 2003Steering Committee Member of the Scandinavian Workshops on
Algorithm Theory (SWAT), 1991Scientific program committee membership
Data Warehousing and Knowledge Discovery (DaWaK), 2005
ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD), 2006
ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD), 2003-2005
Conference on AI and Statistics (AISTATS), 2003, 2005
Conference on Uncertainty in Artificial Intelligence (UAI), 2002-2005
European Conference on Information Retrieval (ECIR), 2007
European Conference on Machine Learning & European Conference
on Principles and Practice of Knowledge Discovery in Databases
(ECML/PKDD), 2003-2006
International Conference on Discovery Science (DS), 2004-2005
International Conference on Machine Learning (ICML), 2004-2006
International World Wide Web Conference (WWW), 2007
National Conference on Artificial Intelligence (AAAI), 2005
Neural Information Processing Systems (NIPS), 2003, 2005
European Conference on Smart Sensing and Context (EuroSSC), 2007
International Conference on Current Trends in Theory and Practice of
Computers Science (SOFSEM), 2006
7th International Conference on Next generation Teletraffic and
Wired/Wireless Advanced Netowrking (NEW2AN), 2006
ACM SIGCOMM shadow 2005
Wired/Wireless Internet Communications (WWIC), 2005
European Conference on Artificial Intelligence (ECAI), 2004
International Conference on Data Warehousing and Knowledge
Discovery (DaWaK), 2005
Symposium on Knowledge Representation in Bioinformatics
(KRBIO), 2005
Workshop on Self-Organizing Maps (WSOM), 2003
International Workshop on Generative-Model-Based Vision (GMBV),
2002, 2004
International Workshop on Independent Component Analysis and
Blind Source Separation (ICA), 2001, 2003-2004, 2006
ACM SIGACT-SIGART-SIGMOD Symposium on Principles of
Database and Knowledgebase Systems (PODS), 2001
ACM SIGMOD-SIGACT-SIGART Symposium on Principles of
Database Systems (PODS), 2005
ACM Symposium on Management of Data (SIGMOD), 2003, 2006
Combinatorial Pattern Matching (CPM), 2007
Conference on Very Large Data Bases (VLDB), 2005
European Conference on Machine Learning (ECML), 2002, co-chair
European Symposium on Principles of Data Mining and Knowledge
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Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mannila, Heikki
Mielikäinen,
Taneli
Mielikäinen,
Taneli
Mielikäinen,
Taneli
Mielikäinen,
Taneli
Mielikäinen,
Taneli
Myllymäki, Petri
Myllymäki, Petri
Myllymäki, Petri
Discovery (PKDD), 2001-2002; co-chair 2002
IEEE International Conference on Data Mining (ICDM), 2002-2003,
2005
International Colloquium on Automata, Languages and Programming –
(ICALP), 2002
International Conference on Database Theory (ICDT), 2003
International Conference on Discovery Science (DS), 2002
International Conference on Machine Learning (ICML), 2001, 2003;
Area Chair 2001
International Conference on Scientific and Statistical Database
Management (SSDBM), 2003
International Joint Conference on Artificial Intelligence (IJCAI), 2001
SIAM International Conference on Data Mining (SDM), 2002,
program co-chair
SIGKDD Conference on Data Mining and Knowledge Discovery
(KDD), 2001-2002, 2004-2007; best paper chair 2005
Fifth International Conference on Computational Science (ICCS 2005),
Atlanta, USA, May 22–25, 2005
The 17th European Conference on Machine Learning and the 10th
European Conference on Principles and Practice of Knowledge
Discovery in Databases (ECML/PKDD 2006), Berlin, Germany,
September 18–22, 2006
2007 ACM Symposium on Applied Computing (SAC 2007), Special
Track on Data Mining (DM), Seoul, Korea, March 11–15, 2007
The Tenth International Conference on Discovery Science (DS-2007),
Sendai, Japan, October 1–4, 2007
The 18th European Conference on Machine Learning and the 11th
European Conference on Principles and Practice of Knowledge
Discovery in Databases (ECML/PKDD 2007), Warsaw, Poland,
September 17–21, 2007
Uncertainty in Artificial Intelligence (UAI) 2003-2004, 2006-2007
Artificial Intelligence and Statistics (AISTATS), 2005, 2007
Myllymäki, Petri
International and Interdisciplinary Conference on Adaptive Knowledge
Representation and Reasoning (AKRR), 2005
International Conference on Applied Artificial Intelligence (ICAAI),
2003)
International Conference on Machine Learning (ICML), 2001
Myllymäki, Petri
International Conference on Case-Based Reasoning (ICCBR), 2001
Mäntylä, Martti
Mäntylä, Martti
International Conference on Mobile Business (ICMB), 2005, 2007
International Conference on Engineering Design (ICED), 2001, 2003,
2005, 2007
Int. Workshop on Context Awareness for Proactive Systems (CAPS),
2005-2007
Annual IEEE International Symposium on Personal, Indoor and
Mobile Radio Communications (PIMRC), 2002, 2005-2006
Asia-Pacific Conference on Communications (APCC) 2004
Myllymäki, Petri
Mäntylä, Martti
Raatikainen,
Kimmo
Raatikainen,
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Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Raatikainen,
Kimmo
Terzi, Evimaria
Terzi, Evimaria
Terzi, Evimaria
Terzi, Evimaria
Terzi, Evimaria
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
EC/ACTS Integrated Networks and Services 2000
Eurescom 3G Summit 2001
Eurescom Summit 2005 on Ubiquitous Services and Applications Exploiting the Potential, International Conference on Web Information
Systems and Technologies (WEBIST), 2005
Global Internet and Next Generation Networks Symposium
(Globecom), 2004
IEE International Networking Conference 2000, 2002, 2004
IEEE International Conference on Telecommunications (ICT) 2001
IEEE International Conference on Wireless Internet (WICON), 2006
IEEE Wireless Communications and Networking Conference (WCNC)
2002
IFIP IEEE International Conference on Mobile and Wireless
Communication Networks (MWCN), 2004
IFIP TC6 WG6.7 International Conference on Intelligence in Networks
(SmartNet) 2002, chair of program committee
International Conference on Mobile Technology, Applications and
Systems (Mobility), 2005-2006
International IFIP-TC6 Networking Conference 2004-2006
International Service Availability Symposium (ISAS) 2006, Co-chair
of the organization committee
SCS International Conference On Web-Based Modelling & Simulation
(WebSim) 2000
Annual Computer Security Applications Conference (ACSAC), 2006
Conference on Data Warehousing and Knowledge Discovery
(DaWak), 2006-2007)
Conference on Knowledge Discovery and Data mining (KDD), 2007
European Conference on Principles and Practice of Knowledge
Discovery in Databases (PKDD), 2005
International Conference on Extending DataBase Technology (EDBT),
2004
ACM Conference on Information and Knowledge Management
(CIKM), 2006-2007
ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD), 2000-2007; senior program committee
member (2006)
ACM Symposium on Applied Computing (ACM SAC), 2007
Data Mining and Knowledge Discovery: Theory, Tools, and
Technology, 2000-2002
European Conference on Artificial Intelligence (ECAI), 2004
European Conference on Machine Learning (ECML), 2002, 2006,
2007; tutorial co-chair (2001), program co-chair (2002), area chair
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Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Toivonen, Hannu
Ukkonen, Esko
Ukkonen, Esko
Ukkonen, Esko
Ukkonen, Esko
Ukkonen, Esko
Ukkonen, Esko
(2006, 2007)
European Conference on Principles and Practice of Knowledge
Discovery in Databases (PKDD), 2002-2004, 2006, 2007; tutorial cochair (2001), program co-chair (2002), area chair (2006, 2007)
IEEE International Conference on Data Mining (ICDM), 2001-2004,
2006; program vice-chair (2002)
IEEE Symposium on Computational Intelligence and Data Mining
(CIDM), 2007
International Conference on Data Engineering (ICDE), 2000, 2007;
best paper award committee (2007)
International Conference on Data Warehousing and Knowledge
Discovery (DaWaK), 2000-2003
International Conference on Discovery Science (DS), 2004
International Conference on Machine Learning (ICML), 2001-2002,
2005-2006; senior program committee member (2006), local chair
(2008)
International Conference on Scientific and Statistical Database
Management (SSDBM), 2003
International Symposium on Computational Life Science (CompLife),
2006
International Symposium on Intelligent Data Analysis (IDA), 2007
National Conference on Artificial Intelligence (AAAI), 2000
Pacific-Asia Conference on Knowledge Discovery and Data Mining
(PAKDD), 2002-2004, 2007
SIAM International Conference on Data Mining (SDM), 2002-2007;
best paper award committee (2005)
SPIE Data Mining 2000, 2001, 2002;
Combinatorial Pattern Matching (CPM), 2006
International Colloquium on Grammatical Inference (ICGI), 2002,
2004
International Conference on Algorithmic Learning Theory (ALT),
2005
International Conference on Computational Molecular Biology
(RECOMB), 2006
International Conference on Intelligent Systems for Molecular Biology
(ISMB), 2005
Workshop on Algorithms in Bioinformatics (WABI), 2004-2005
5.4. Memberships in committees and in scientific advisory boards of
business companies or other similar tasks of no primarily academic
nature
Give only the most important memberships and prizes.
Name
Tasks
Period
Kangasharju,
Jaakko
Member, W3C's XML Binary Characterization
Working Group??
May 2004 – March
2005
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Kemppinen
Finnish Government / Expert
Jukka
Mannila, Heikki Verity Inc., Member of the Technical Advisory
Board
Myllymäki,
Ekahau Inc., Chairman of the Board of Directors
Petri
Myllymäki,
Bayes Information Technology Inc., Member of
Petri
the Board of Directors
Mäntylä, Martti Otaverkko Oy, Chairman of the Board
Pitkänen, Olli
BookIT Oy, Member of the Board
Turpeinen,
Tekes, Fenix technology programme, Member of
Marko
the Board
Turpeinen,
Tampere University of Technology, Digital Media
Marko
Institute, Member of the Board
2000-2007
2000-2004
2000-2004
2000-2003
200320042003-06
2002-04
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6. The Unit’s self-assessment
6.1 SWOT – evaluation of the Unit’s scientific strengths, weaknesses,
opportunities and threats (expertise, funding, facilities, organisation;
max. 2 pages).
In addition to strengths and weaknesses it is also important to assess what the present strengths or
developable strengths enable in the future and what kinds of threats are related to the weaknesses.
The SWOT of the institute are summarised in the following table:
Strengths
 Good brand – best in Finland
 Good research themes that
provide opportunities for top
level research
 Highly motivated and competent
multidisciplinary personnel
 Finnish and international
networks (Helsinki School of
Economics, University of Arts
and Design; UC Berkeley, MIT,
Tsinghua University, IIT; EU
networks)
 Parent organisations and their
competence (TKK, UH)
 Close relationships with
industry and industry clusters
(Dimes, Forum Virium)
 Good links with key decisionmakers of research and
technology policy
Opportunities
 New research programmes
 Importance of research and
technology policy is recognised
by decision-makers
 The new university to be created
by combining TKK, HSE and
UIAH offers possibilities of
multi-disciplinary research
 Strategic centers of excellence
offer further opportunities
 New EU funding schemes (esp.
ERC)
 Further close international
collaboration by duplicating the
model developed with UC
Berkeley
Weaknesses
 High dependency on external
funding
 High workload of senior
researchers caused by shortterm funding
 Insufficient administrative
resources
 Limited capability of risk taking
limits the rapid launch of new
activities
 Long-term development of
research infrastructure difficult
because of short-term and
project-oriented funding
 Lack of post-doc and senior
researcher positions
(fellowships) limits researcher
career development
 Finnish policies make foreign
recruiting in practice difficult
Threats
 Health and sanity of key people
= senior researchers
 Parent organisations cannot
agree on the future development
of HIIT
 Organisational havoc of new
initiatives devours key person’s
energy
 Limited added value of HIIT in
the eyes of high-quality
candidate groups
 Diminishing number of qualified
students entering the
universities restricts the
recruiting basis of HIIT
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The present strengths and visible opportunities put the institute in a very good position to develop
its scientific, industrial, and societal impact also in the future.
We also believe that most of the existing weaknesses can be addressed, or that they do not
constitute serious bottlenecks.
The weakness high dependency on external funding, however, will likely to remain in place, but the
severity of this weakness is limited by the expected development of funding instruments (e.g.,
strategic research funding of TEKES, Strategic Centers of Excellence initiative) and spreading the
project portfolio between different funding organisations (TEKES, Academy of Finland, EU).
The high workload of senior researchers can be relieved with more post-doc level researchers and
improved administrative services. Of course, these require sufficient funding and success in
recruiting the best people.
A threat that is difficult to contain is the diminishing number of qualified students entering the
universities in areas relevant to HIIT. This requires joint activities of HIIT with the home
universities, and the entire CS research community, to send the message to talented high school
graduates that CS and IT are areas where they will be able to excel and find interesting things to do.
We do not believe that the other threats will turn out to be serious.
6.2. Evaluate the Unit in relation to its leading scientific competitors
(max 1 page).
In addition to strengths and weaknesses it is also important to assess what the present strengths or
developable strengths enable in the future and what kinds of threats are related to the weaknesses.
HIIT compares itself with the leading research institutions of the world. The quality of our research
has been assessed by the HIIT Scientific Advisory Board in 2004. HIIT-BRU was also evaluated by
an international expert panel in connection of the Research Assessment Exercise 2005 of the
University of Helsinki. The unit received the highest possible grade, 7/7, verbally justified by the
panel as
"Indeed, the senior personnel qualifies well for the grade 7, since all the submitted work is on a
high international level, and nothing even on the good level. The unit can without hesitation be
declared leading in its chosen area of research. It has a strong international colour."
On the basis of these assessments and our own self-assessment, we believe that of HIIT’s research
programmes, Adaptive Data Analysis (ADA) and Probabilistic Adaptive Systems (PAS) have
clearly reached a world-class status, as indicated by peer recognition, scientific competence,
focused research agenda, and quality and quantity of contributions. This is also evidenced by that
many groups participating in these programmes are members of the Center-of-Excellence "From
Data to Knowledge" of the Academy of Finland. This CoE status with associated funding was given
by the Academy for a six-year period from 2002, and again in a renewed form from 2008 under the
name Algodan (Algorithmic Data Analysis).
We also believe that the two other programmes, Future Internet (FI) and Network Society (NS), have
made and are making solid progress towards this status. Especially their progress since 2004 is
considerable. The position that FI now has in HIP-related research, and more generally Internet
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architecture research is promising sign of this.
Compared with our leading competitors (the best universities of the world), HIIT does not enjoy a
similar recruiting base of talented students, nor can it exploit their efforts with similar freedom as
they do. To some degree, this weakness can be contained by reaching out to talented students early
enough so that they can be integrated with research groups. However, mostly we must continue to be
very choosy as to the topics of our research and focus our limited resources in areas where we can be
competitive with the best.
6.3. The Unit’s research strategy 2008–2010 (relation to the parent
organisation’s strategy, priority areas in research, development
measures; max 2 pages)
Describe the Unit’s research programme for the next few years, the key research objectives and
means to achieve these objectives. What is the role of basic and applied research? Is there need for
new knowledge, facilities, is the present level of funding sufficient for attaining the objectives laid
down? Do the strategies of the parent organisation and the Unit support each other? How do you
take into account the possible ethical questions within research?
At present, HIIT consists of two administrative units: the Advanced Research Unit founded in 1999
and the Basic Research Unit founded in late 2001. The ARU is located in TKK and the BRU in UH.
The basic framework of HIIT’s strategy was defined by HIIT Board in May, 2005. According to
this, the two units will be merged from 1.1.2009. During 2006-2008, the activities and processes of
the two units will be aligned to facilitate the eventual merger.
With this goal, several developments have already taken place. Most importantly, the institute has
been reorganized according to the research programmes. The activities presently located in
Ruoholahti will be moved to TKK campus in April, 2007. The remaining decisions of the future
institutional form of HIIT from 2009 onwards will be made during the rest of 2007.
Obviously, the present turmoil around the Finnish university system – especially the new university
supposedly to be formed by merging TKK, HSE, and UIAH – is likely to influence the future of
HIIT (and vice versa). Also HIIT’s possible role in the Strategic Centre of Excellence in ICT area
may have an impact.
These external and institutional developments will set the stage for the actual research strategy of the
institute. It can be summarized as follows:
1. The present research programmes will be continued until end of 2008, and most likely
also after that for 2009-2001. Their research agendas will be continuously updated, with
the aim of reaching and maintaining a world-class status. New research groups with
matching competences may be included in the programmes; however, this is not likely to
constitute a bottleneck.
2. Existing research groups are strengthened by recruiting talented researchers worldwide,
with the aim that all HIIT research groups have reached world-class status, or are making
clear progress towards it.
3. One or two new research programmes will be launched, with the intention that they will
have reached a full scale by 2009. At the time or preparing this report, some candidate
themes have already been identified. Through the new programmes, several new research
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groups are likely to join the institute.
4. HIIT had a total of 13 projects in the 6th Framework Programme of EU. In the 7th
Framework, it intends to strengthen its presence further, while also participating in new
initiatives such as the European Research Council and possibly European Institute of
Technology.
5. Existing international research partnerships will be maintained and deepened also beyond
EU programmes. New partnerships will be launched, especially in rapidly developing
parts of the world such as China and India.
6. Starting in 2007, the operation of research programmes is facilitated by internal funding
that the programmes can spend autonomously. This is likely to increase in the coming
year. If financially possible, also internally funded post-doc positions will be made
available.
7. The administrative services will be strengthened with the aim of lessening the burden on
senior researchers and insulating them from the mad chaos of university administration.
This is of course severely constrained by the administrative resources available.
8. The research infrastructure will be developed to provide state-of-the-art basic tools for
researchers and facilitate larger-scale experimental research. In latter regard, HIIT will
develop partnerships with related initiatives such as so-called “living labs”, with the aim
of getting access to larger user communities for field testing and experimental service
deployment.
9. The institute is well positioned in doctoral schools, especially HeCSE, GEBSI, UCIT,
and COMBI. This allows it to increase its presence in post-graduate education.
From the viewpoint of potential applications and users, HIIT’s present research programmes are
oriented toward the ICT/telecommunications cluster, the media cluster, and the life science cluster.
The orientation of possible future programmes is at present an open issue of deep strategic
importance. At any rate, the choice will be made by taking into account the intrinsic scientific
potential of the field for ICT research, the availability and quality of potential partners both in
academia and industry, and the available research funding and instruments.
6.4. The societal impact of the Unit’s activities (max. 1 page)
Describe here how the Unit’s research activities and cooperation with other actors in society have
promoted the activities of other societal actors, e.g. industry of SMEs.
HIIT’s societal impact plays out in two main theatres: co-operation with industry and influencing
the research and information society policies.
HIIT’s research is oriented toward three industrial clusters: the ICT cluster, the (digital) media
cluster, and the life sciences cluster. In each cluster, the institute has developed close and durable
relationships with the key Finnish companies and consortia such as Nokia, Ericsson, TeliaSonera,
Elisa, and Dimes ry.; SanomaWSOY, Alma Media, Yleisradio, and Forum Virium Helsinki;
Cyberell Ltd, GeneOS Ltd, and Jurilab Ltd. Especially with Nokia and Ericsson, the co-operation is
almost symbiotic, reinforced by shared personnel. Through EU programmes, it has also developed
links to many leading European companies in these fields such as Siemens, DoCoMo, France
Telecom, Alcatel, BT, Telefonica, and many others. HIIT has also contributed directly to industry
through several new ventures originating from HIIT’s research (e.g., Ekahau, Ltd. and Jaiku.com).
More indirectly, HIIT’s industrial impact through releasing publicly available software has also
been substantial. We have produced software such as Context, a system for running data gathering
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and building contextual applications on Nokia Series 60 Phones; HaploRec, population-based
haplotyping of genotype data; HPM (Haplotype Pattern Mining) and TreeDT, gene mapping
software; Icasso, a software package for evaluating the reliability of results given by independent
component analysis. HIIT researchers have also obtained one patent for a method for gene mapping
using chromosome and phenotype data and eight patents are pending in the fields of genetics and
telecommunications.
HIIT has reached the profile of a vocal and visible participant in the public debate related to various
important themes of information society, especially the discussion on immaterial rights, regulation,
security, privacy and trust, and the basic infrastructure of the information society. It has also
contributed to policy development by co-operating with the various branches of public
administration. HIIT’s research has also figured in newspapers and periodicals as well as on TV and
radio and through lectures to a general audience (e.g., at Heureka, the Finnish science centre).
6.5. Assess the academic and societal need for doctoral training within
the Unit’s research fields and the Unit’s role in doctoral training (max.
1 page).
The “market” of young doctors in the areas of HIIT’s research consists of several segments:
1.
2.
3.
4.
5.
Finnish universities
Other Finnish research institutes
Finnish companies, especially Nokia and its research centre
Finnish public administration and third sector
Foreign companies and universities
Our experience is that all doctors find employment very easily in one of these segments. Roughly
half of them are employed in universities; perhaps one in five finds foreign employment (e.g.,
post-doc position), and only the remaining 30% are available to other segments. Our perception is
that this fails to satisfy the demand especially in industry. Especially “multi-disciplinary” doctors
(doctors who have experience of working in multidisciplinary teams) have continuous high
demand.
Taking into account that the demand also in universities is likely to remain healthy if the present
plans to strengthen the post-doc positions in universities are implemented, there is a clear need to
increase doctoral training in the fields of HIIT.
To this end, HIIT applies several strategies. Most of its researchers are also post-graduate students.
The progress of their studies is closely monitored, and reasonable efforts are spent to provide them
good conditions for doctoral research. HIIT also participates in doctoral schools related to the
themes of its research programmes and has also made initiatives in this regard. With the exception
of the Future Internet programme, all HIIT’s research programmes are affiliated with doctoral
programs with matching themes.
6.6. Assess the research infrastructure available (max 1 page)
Describe the use and availability of research infrastructures, e.g. computer resources, research
equipment, both from the parent organisation and outside.
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The key elements of the research infrastructure for HIIT’s work consist of the following elements:
general scientific infrastructure (literature, networks, …); computational infrastructure needed for
experimental ICT research; access to interesting data; and access to interesting users and user
communities.
As to the general research infrastructure, HIIT’s present situation is reasonably good. For instance,
HIIT-BRU’s research groups located in the new Exactum building at the Kumpula campus of UH
can utilize the excellent administrative and computing infrastructure of the Department of Computer
Science.
In providing computational infrastructure for experimental ICT research, the bottlenecks are not
severe and can be eliminated relatively easily. For instance, intensive field studies in mobile
computing seem to consume mobile phones like potato chips; fortunately, they are not very
expensive, and projects mostly can afford them (with the exception of projects funded by the
Academy of Finland, that must make do with what they can borrow from others). Networking
research requires HIIT to essentially duplicate its basic networking infrastructure and use
commercial services free from the restrictions of the FUNET network. Access to the PlanetLab test
platform has proved to be critical.
As to the third item (access to data), HIIT is also in a good position due to its close links to
industry and other research institutes “owning” the data. To maintain this position is a vital part of
HIIT’s partnership strategy.
The fourth item (access to users) is tricky. On its own, HIIT can conduct experimental research
only on small sets of users (or sometimes, students). Unfortunately, it is thinkable that some
phenomena of potential scientific interest e.g. in social computing will become visible only if
instead of tens, 100’s, 1000’s, or perhaps millions of users can be studied. This is a challenge that
HIIT cannot solve itself, but that requires partnerships with companies and other actors. From
HIIT’s viewpoint, this is the key issue that must be addressed by the “living labs” and other
initiatives aiming to create large-scale experimental platforms. HIIT has followed closely the
related activities both in Finland and in Europe.
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7. Funding
7.1. The Unit’s core and external funding received from the parent
organisation.
Core funding applies to the Unit’s budget funding and possible other funding for research awarded
by the parent organisation. The funding covers both the salary costs with social charges of the staff
and the operational costs which include consumption costs and investment costs for research
activities. Use of research funding received from external sources, indicated per year. Academy of
Finland fellowships should also be involved and counted. Salaries should be counted as 1.33 *
gross salary.
Source of
Funding
Core
fundin
g
Extern
al
fundin
g
Budget
funding
Other
Total
core
funding
Academy
of
Finland
Tekes
Other
public
sources
Industry
Private
foundatio
ns
EU
Other
foreign
organisat
ions
Total
external
funding
Total
2000
2001
2002
2003
2004
2005
2006
Total
185 582
258 874
258 188
168 188
165 688
164 359
263 272
1 464 151
95 740
276 034
702 500
950 751
880 994
968 070
1 153 497
5 027 586
281 322
534 908
960 688
1 118 939
1 046 682
1 132 429
1 416 769
6 491 737
65 425
118 825
270 238
624 996
1 001 204
1 358 917
934 854
4 374 459
244 729
947 062
1 644 796
2 182 743
2 266 426
2 212 017
2 405 109
11 902 882
0
21 864
100 950
71 694
44 779
22 242
99 727
361 256
67 859
508 403
643 724
659 699
761 020
521 546
647 066
3 809 317
0
0
0
6 728
9 636
52 104
115 007
183 475
0
0
0
0
251 883
566 385
1 039 487
1 857 755
0
0
0
0
0
0
16 233
16 233
378 013
1 596 154
2 659 708
3 545 860
4 334 948
4 733 211
5 257 483
22 505 377
659 335
2 131 062
3 620 396
4 664 799
5 381 630
5 865 640
6 674 252
28 997 114
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7.2. Evaluate the role of the funding by Academy of Finland in
promoting the scientific and societal impact of research (max. 1 page)
Describe how the funding awarded by the Academy has promoted the scientific and societal impact
of the Unit’s activities. Scientific impact refers to the contribution of the research carried out by the
Unit to the development of the field. Societal impact refers to the ability of the research activities to
promote values that are considered as important in society.
HIIT is heavily dependent on external funding. The basic funding given to HIIT by its parent
universities is presently only about 20 percent of total while the rest comes from competitive
sources.
The funding from Academy of Finland (presently about 18 percent) has been substantial in
maintaining the high quality of the basic research of HIIT, also including multi-disciplinary
research. Some of HIIT’s groups, mostly in the Algorithmic Data Analysis programme, are
members of the Center-Of-Excellence “From Data to Knowledge”, granted by the Academy for
2002-2007. This long-term funding has substantially fueled our research.
Although the focus of the Acadamy funded work has been on basic research, the funding also has
helped us to form a long-term vision in societally important themes such as privacy issues in
ubiquitous computing or search as an infrastructure of the future Internet. Academy of Finland
funding has also seeded research lines and themes for which we have later received funding from
other sources.
HIIT also received research infrastructure funding from the Academy of Finland. It was used to
acquire a computational cluster that has been indispensable in computation-intensive research,
especially in the Future Search research line.
Finally, the Academy of Finland funding to doctoral programmes (especially HeCSE, COMBI,
GEBSI, UCIT) has also benefited HIIT’s work.
7.3. Evaluate the role of funding awarded by different funding
organisations in promoting the scientific and societal impacts of
research, excluding funding from the Academy of Finland (max. 1
page)
Describe the contribution of the funding awarded by different funding organisations to the scientific
and societal impacts.
The quite extensive funding HIIT has been able to obtain from Technology Development Agency
TEKES (at present, roughly 38 percent of the total) has been especially instrumental for developing
research collaboration with industry. Industrial funding (12 percent) is mostly connected with
TEKES funding; in a few cases, HIIT has also acted in a subcontractor position to industry’s own
research projects that have been deemed attractive for our research portfolio or industrial impact.
TEKES’ sustained interest in building and maintaining the co-operation with UC Berkeley has been
quite significant for HIIT, especially our work on Social Media and Future Internet. To date, 17
HIIT researchers have visited UCB for periods of 6-18 months; at present, four researchers are in
place.
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Lately, TEKES has diversified its project funding to include also the “strategic basic research”
category for long-term research expected to have major impact in 3-5 years. HIIT has been able to
receive significant funding under this scheme, especially for its Future Internet research line. It has
enabled us to form set quite bold objectives for the research, with the aim of contributing
significantly to the so-called “clean slate” approach to Internet architecture. At present, we
negotiate with TEKES for funding to the proposed joint Center for Novel Internet Architecture with
UCB/ICSI.
The rapidly growing funding from EU (presently 12 percent) has helped us developing and
maintaining European research collaborations both with major companies (large industry-led
integrated projects) and other research institutes (smaller IP’s, STREP’s). From HIIT’s perspective,
the company-led activities have mainly contributed to our industrial and societal impact. In the case
of smaller projects, EU funding has enabled us to launch research activities in themes not covered
adequately by Finnish funding instruments and to connect our work with European networks. Other
EU funding instruments have played minor roles; however, we hope to receive significant funding
from the future ERC calls.
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Instructions to submission form
General information
G.1. This evaluation covers research only in computer science. The branches of computer science
are defined in question G.2. In your Unit there may be many other fields of science represented, but
we ask you to give the percentage that computer science stands for. In the following questions,
you are asked to concentrate only in this portion of research.
G.2. Unit's research profile
The percentages should add up to 100. If there are more "Other" fields, you may add more lines. A
more detailed division of computer science could be:
Theory of computation
Automata theory
Computability theory
Computational complexity theory
Quantum computing theory
Algorithms and data structures
Analysis of algorithms
Algorithms
Data structures
Programming languages and compilers
Compilers
Programming languages
Software engineering
Formal methods
Software engineering
Reverse engineering
Algorithm design
Computer programming
Concurrent, parallel, and distributed systems
Concurrency
Distributed computing
Parallel computing
Databases
Relational databases
Data mining
Communications
Game theory
Networking
Cryptography
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Computer Audio
Computer architecture
Computer architecture
Computer organization
Operating systems
Human-Computer Interaction
Artificial intelligence
Artificial intelligence
Automated reasoning
Robotics
Computer vision
Machine learning
Natural language processing/Computational linguistics
Computer graphics
Computer graphics
Image processing
G.3. Other relevant fields
The interaction between computer science and other fields are studied. Three levels are given: 1,
normal collaboration with joint publications; 2, common scientific projects i.e. consortia; 3,
integration through scientists working in the group
1. Staff
1.1. Indicate information on the staff in full time equivalents (FTE) in computer science. Full time
equivalent refers to annual full-time work including paid holidays and other statutory days off.
Other holidays, leaves of absence etc. shall be deducted from the calculatory working time.
One person-workday is 8 hours 15 minutes and one person workweek 41 hours 15 minutes effective
working time (lunch hours included, 1 hour/day). If the person’s working time is less than the
norms of normal office hours, the amount of person-work is calculated using the working time norm
as divider.
Active research staff includes persons who plan, produce and publish new knowledge, theories and
methods as well as products and processes based on them and lead research projects. Technical
personnel refer to persons working under the supervision of active research staff to carry out
projects but who are not involved in the theoretical planning, publishing or other related activities.
Administrative personnel refer to persons who take care of administrative tasks related to the
research, such as financial and personnel administration or other office duties but who are not
normally involved with the technical implementation of the projects.
Persons under the following titles will always be listed in the active research staff:
● Academy Professor (In Finnish: akatemiaprofessori)
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● Academy Research Fellow (akatemiatutkija)
● Assistant (assistentti)
● Chief Research Scientist (johtava tutkija)
● Clinical Teacher (kliininen opettaja, apulaisopettaja)
● Doctoral Assistant (tohtoriassistentti)
● Group Leader (ryhmänjohtaja)
● Head of Research (tutkimuspäällikkö)
● Laboratory Director (laboratorionjohtaja)
● Postdoctoral Research Fellow (tutkijatohtori)
● Professor (professori)
● Research Professor (tutkimusprofessori)
● Research Director (tutkimusjohtaja)
● Research Lecturer (tutkijalehtori)
● Senior Curators (yli-intendentti)
● Senior Researcher (vanhempi tutkija)
● Specialist Researcher (erikoistutkija)
● University Lecturer (yliopistonlehtori)
Moreover, the following persons should always be included in the active research staff:
a) Postdoctoral researchers
b) Postgraduate students belonging to either of the following groups:
● Persons with at least an MA or MSc (or equivalent) degree who have been employed by the
university as full-time researchers or assistant researchers to do doctoral studies for a period of no
less than six months.
● Persons with at least an MA or MSc (or equivalent) degree who, for a period of no less than six
months, have fulfilled the following two criteria: they a) have been affiliated with the Unit as fulltime researchers or assistant researchers to do doctoral studies and b) have been receiving research
funding from some other source than another university or research institute.
These groups include, e.g. postgraduate students employed by graduate schools.
Postgraduate students who do not fulfil either of the above criteria, i.e. who have not been
employed by the university and have not been receiving other funding, can also be included in the
active research staff for the period they are not holding a post in another university or research
institute. The Unit can decide case by case whether to include these postgraduate students. It is
worth observing that it is not necessarily advisable to include postgraduate students who do not
have substantial publications from the period 2000-2006.
According to its choice, the Unit can also include other members of the staff in the active research
staff, e.g. departmental amanuenses (amanuenssi).
1.2. In case person's duties have changed during the period under review (e.g. from technical
personnel to active research staff), indicate the person's both tasks and period according to the
format.
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2. Research output
2.1. This question surveys how the research carried out in the Unit has impacted research in its own
field(s). Describe the orientation of scientific publishing, most important research results and the
role of multidisciplinarity or interdisciplinarity etc. Also, describe the role of basic and applied
research.
In case the research carried out in the Unit is clearly specialised in the different fields of computer
science, describe each field separately (see also question 6.3).
2.2. In the summary table, calculate the number of each type of outcome in the list during the period
under review.
2.3. Each senior researcher will list seven of his/her key publications during the period under
review, indicated in the order of quality. Unlike other information, the list may also include
manuscripts published in 2007 or manuscripts approved for publication but still unpublished.
References to books should give the names of any editors, place of publication, editor, and year.
2.4. For ensuring easy readability do not make the font size smaller when copying publications. The
copies of publications shall be two-sided.
3. Doctoral training
3.1 Give the number of Master degrees and of those, new post-graduate students to indicate the ratio
enrolled in the doctoral training.
3.2 If at least half of the doctoral dissertation has been supervised and done at a research institute,
the research institute can also list the doctoral dissertation as its own outcome. In this case indicate
also the university (in year of completion) where the doctoral dissertation has been presented for
approval. In present employment, indicate the type of organisation (university, business company,
research institute, state, municipality or other).
4. National and international collaboration
4.1. List the national collaboration partners of the Unit. Collaborator refers to a person or a research
team with whom the cooperation has either generated or is expected to generate within the next
three (3) years one of the outcomes indicated in item 2.2. Types of collaboration include e.g. joint
projects, researcher mobility. In "Field of science", give the main field of the collaborator (physics,
chemistry, mechanical engineering etc.).
4.2–4.4. List the visits per year. List the visits of each year by country in the alphabetical order. In
item "Purpose of the visit" indicate clearly the objective of the visit.
4.5. List the most important foreign collaborators, as defined in item 4.1.
4.6. Describe here e.g. key joint publications, researcher training, adoption and use of new
technologies or new approaches.
4.7. List here the Non-academic collaboration, e.g. industry contacts.
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5. Other scientific and societal activities
5.1. Invited plenary talks, and other invited talks
5.2.-5.4. Give only the most important memberships and prizes
6. The Unit’s self-assessment
Self-assessment is an important part of the evaluation. Please answer carefully.
6.1. and 6.2. In addition to strengths and weaknesses it is also important to assess what the present
strengths or developable strengths enable in the future and what kinds of threats are related to the
weaknesses.
6.3. Describe the Unit’s research programme for the next few years, the key research objectives and
means to achieve these objectives. What is the role of basic and applied research? Is there need for
new knowledge, facilities, is the present level of funding sufficient for attaining the objectives laid
down? Do the strategies of the parent organisation and the Unit support each other? How do you
take into account the possible ethical questions within research?
6.4. Describe here how the Unit’s research activities and cooperation with other actors in society
have promoted the activities of other societal actors, e.g. industry of SMEs.
6.6. Describe the use and availability of research infrastructures, e.g. computer resources, research
equipment, both from the parent organisation and outside.
7. Funding
7.1. Core funding applies to the Unit’s budget funding and possible other funding for research
awarded by the parent organisation. The funding covers both the salary costs with social charges of
the staff and the operational costs which include consumption costs and investment costs for
research activities.
Use of research funding received from external sources, indicated per year. Academy of Finland
fellowships should also be involved and counted. Salaries should be counted as 1.33 * gross salary.
7.2 Describe how the funding awarded by the Academy has promoted the scientific and societal
impact of the Unit’s activities. Scientific impact refers to the contribution of the research carried out
by the Unit to the development of the field. Societal impact refers to the ability of the research
activities to promote values that are considered as important in society.
7.3 Describe the contribution of the funding awarded by different funding organisations to the
scientific and societal impacts.
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