CURRICULLUM VITAE
Dr. Veton Z. Këpuska,
Associate Professor
ECE Department
Florida Institute of Technology
Olin Engineering Building
150 West University Blvd.
Melbourne, FL 32901-6975
Tel. (321) 674-7183 (Office)
Tel. (321) 328-0617 (Home)
Tel. (321) 759-3157 (Mobile)
E-mail: [email protected]
OBJECTIVE:
To make a significant contribution in advancing Human - Machine Interaction
and Communication. My interests cover areas of Speech Processing, Speech
Recognition, Natural Language Processing, Speaker Identification, Digital
Signal Processing, Adaptive Filtering, Pattern Recognition, Neural Networks,
etc.
EDUCATION:
1990 Ph.D.
Computer Engineering Clemson University
Dissertation
Artificial Neural Networks for Speech Recognition
Applications
Advisor
John N. Gowdy
1986 M.S.
Computer Engineering Clemson University
Advisor
John N. Gowdy
1981 Dipl. Eng.
Electrical Engineering University of Prishtina
Thesis
The use of the Analog Computers for Simulation and
Automatic Control
Advisor
Abdurrahman Grapci
1976 Diploma
Mathematical Gymnasium
Diploma
Work
Experimental Methods for Measurements of the Speed
of Light
Advisor
Skender Skenderi
FELLOWSHIPS, HONORS AND AWARDS
2013
2013
2012
2011
2009
Zëri Inc.. Founded a Speech Recognition Company,
www.zeriinc.com
SAR-LAB - Development of Speech Analysis and Recognition
Laboratory using MATLAB..
NSF I-Cops. Wake-Up-Word Speech Recognition.
FaST - Calculate Potential Energy Savings-from Using Mobile
Smart Technologies.
http://science.energy.gov/wdts/fast/projectdescriptions/2011-projects/epa-calculate-potential-energysavings-from-using-mobile-smart-technologies/
Organized and Hosted at FIT NIST Rich Transcription
Evaluation Workshop, "NIST Rich Transcription Evaluation"
2009
2
2008 - 2009
2008
Kerry Bruce Clark Teacher
Greatest Commercial Potential - "Smart Room" Senior Design
2008.
Third Place in IEEE SouthEastCo. Student Hardware
Competition: Basketball Robot
Best Junior Design 2007 - Visual Audio
Best Paper Nomination "2006-472: A MATLAB TOOL FOR
SPEECH PROCESSING, ANALYSIS AND RECOGNITION: SARLAB"
UML-ADI Assistive Device Competition, June 2005, University
of Massachusetts Lowell MA, First Place
http://faculty.uml.edu/Mufeed_Mahd/UML_ADI/photo_fit.htm
Fulbright Fellow
Harris Fellow
Univeristy of Prishtina Fellow
2007
2007
2006
2005
1984 – 1985
1987 – 1988
1977 – 1979
EMPLOYMENT:
2003 Present
 Florida Institute of Technology, Electrical and
Computer Engineering – Associate Professor:

Accomplishments:
 Developed a web portal with my graduate students for
TRDA of Melbourne in collaboration with Nterspec.
 PPT Commander – A Voice Only Activated Power Point
Presentation Application
 Ported PPT Commander to Apple Mac OS
 Developed Voice Activated Elevator Simulator:
· http://www.youtube.com/watch?v=j5CeVtQMvK0
· http://www.youtube.com/watch?v=OQ8eyBTbS_E
 Developed a Nursing Call Station Voice Only Activated
interface for patients. Researching for ways to extend its
capability for the patient to control its bed, TV and other
devices connected to the system.
 Developed a Voice Activated Car Inspection System
prototype for BMW:
· http://files.me.com/hardcaseron/l3byyd.mov
 Designed and Developed a High Speed Currency Bill
Reader system using Embedded Hardware.
 Organized and Hosted NIST Rich Transcription
Evaluation Workshop,
 Hosted and Participated in International "NIST Rich
Transcription Evaluation" 2009
 First Place in the First Annual Analog Devices &
University of Massachusetts DSP Contest 2005 (Brian
Ramos and Don McMann),
3





http://faculty.uml.edu/Mufeed_Mahd/UML_ADI/photo_f
it.htm),
Third Place in IEEE SouthEastCon 2007 Student
Hardware Competition: Basketball Robot among 38
Universities (Ronald Ramdhan, Xerxes Beharry & Sean
Powers). http://www.southeastcon.org/2007/students/.
The robot is displayed in Deans Conference Room.
Best Paper Nomination " 2006-472: A MATLAB TOOL
FOR
SPEECH
PROCESSING,
ANALYSIS
AND
RECOGNITION: SAR-LAB" ASEE 2006 (undergraduate
co-authors Rogers N., Patel M.),
Best Junior Design 2007 - Visual Audio - (Brandon
Schmitt).
Greatest Commercial Potential - "Smart Room" Senior
Design 2008. (Matt Hopkins, David Herndon, Patrick
Marinelli).
Courses Developed and Taught:

Graduate:
1. Speech Processing – ECE 5525
2. Speech Recognition – ECE 5526
3. Search and Decoding in Speech Recognition – ECE
5527
4. Computer Networks 2 – ECE 5535
5. Digital System Design 1 – ECE 5571
6. Digital System Design 2 – ECE 5572

Undergraduate:
7. Hardware Software Design – ECE 2551
8. Hardware Software Integration – ECE 2552
9. Signal and Systems – ECE 3222
10.
Digital State Machines – ECE 3541
11.
Microcomputer Systems 1 – ECE 3551
12.
Microcomputer Systems 2 – ECE 3552
13.
Multifarious Systems 1 – ECE 3553
14.
Multifarious Systems 2 – ECE 4553
15.
Computer Architecture – ECE 4551
16.
Computer Communications - ECE 4561
4
17.


Electric and Electronic Circuits – ECE 4991
AWARDS:

FaST - Program Calculate Potential Energy
Savings-from Using Mobile Smart Technologies.
http://science.energy.gov/wdts/fast/projectdescriptions/2011-projects/epa-calculate-potentialenergy-savings-from-using-mobile-smarttechnologies/, 2011

Kerry Bruce Clark Teacher, 2009

UML-ADI Assistive Device Competition, June 2005
Lowell MA, First Place.
Developed and Ported Wiener Based Noise Removal
Algorithm to Analog Devices ADDS 21161 DSP.
Notable Presentations:
CS Dept. Curriculum Series Presentation, 2005:
“Wake-Up-Word Speech Recognition: A Missing Link toward
Natural Language Understanding”.
2001 - 2003

NSF Proposals – PI : Written over 20 NSF proposal.

NSF Proposal – Co-PI: Participated in over 15 NSF proposal.
 Speech Recognition Scientist - ThinkEngine Networks,
Inc., 175 Maple Street, Marlborough, MA 01745. USA.

Invented, Designed and Developed unique solution to
“Wake-Up-Word” or “OnWord™” Spotting Technology.
Wake-Up-Word Spotting entails recognition of a specific
word/phrase uttered in isolation or in a context of a
continuous speech. Currently this technology is not as
widely used as other Speech Recognition Applications/Tasks
because of poor performance of Speech Recognition Systems
offering such technology commercially - Nuance,
SpeechWorks, Philips, Conversay, ART, etc., or as a research
tool, that is speech recognition technologies of primarily
research and development institutions such as – Byblos
(BBN), Sphinx (CMU), HTK Speech Recognition Tool Kit
(Cambridge University, Entropic and Microsoft), etc.
Furthermore, all those systems require computer systems
with powerful CPU’s (~1.5 GHz Pentiums) with large memory
(512 Mbytes RAM) with Speech Recognition process itself
requiring tens of hundreds of Mbytes for this feature alone
to even run in real time. Additional advantage of the
5
developed system is that it is designed also to run on a Fixed
Point DSP, requiring less than 36.2 Kbytes of program
memory space and 2 Kbytes for Model space, consuming
less 2 Million Cycles per Second on a TI C62xx.

Inventor of 3 Patented Solutions – Patent Pending:

Voice Activity Detection Based on Cepstral Features.

Dynamic Time Warping (DTW) Matching using Reverse
Ordered Feature Vectors.

Rescoring using Distribution Distortion Measurements of
Dynamic Time Warping Match.

Working on Generalized scoring using Reversed and Normal
Ordered Features for any Pattern Matching Method (e.g,
DTW, HMM) to be filed for patent.

Designed and Assisted in Developed of Voice Data Collection
System - necessary for research, development, testing and
evaluation of the Wake-Up-Word Recognition System.

Performed and Managed 2 data collections over various
calling environments (noisy, quiet, public, car, etc.) using
various calling devices (cellular, landline, speaker phone.
Created 2 Corpora from the recorded data. Those Corpora
are used for:

Building Models of a particular Wake-Up-Word

Testing and Evaluation of the System, and

Research, Development, and Refinement of Wake-UpWord Recognition System,

Transcribed and/or Supervised transcription process of
recorded data. Set up conventions and standards so that all
the tools to be developed that use data of created Corpora
comply with a clear set of standards.

Converted other (CallHome and PhoneBook) Corpora to this
set of standards for easy and consistent use.

Directed and Supervised Code Conversion and Porting from
Floating Point to Fixed Point of Wake-Up-Word Spotting
Technology.

Developed Automated Process using combination of perl
scripts and perl configuration files controlling various
parameters affecting each step of the complex process of:

Generating Features from a Voice Data Corpus,
6

Building a Model of a Wake-Up-Word (e.g., “Operator”,
“Help”, “MapQuest”, “Verizon”, etc.) from the features,

Using built Model to test and evaluate Wake-Up-Word
Recognition System,

Generating Performance Plots, Charts and Graphs.
Those scripts use numerous executables, gnuplot – a graph
plotting tool, as well as other perl scripts. End result of this
process is automatic generation of number of plots, charts,
and graphs that depict performance of the system for easy
evaluation and comparison.
1999 – 2001

Trained and Supervised a DSP engineer to port, test and
evaluate Wake-Up-Word Technology.

Worked with Application Developers to integrate Wake-UpWord Spotting Technology into a viable Demo and
potentially viable product.

Wrote Technical Document and Manual for this Technology.

Consulted CTO in decision making process regarding Speech
Recognition, Text to Speech, as well as Wake-Up-Words
Spotting Technologies.
 Speech Recognition Scientist – SpeechWorks
International, Inc., Product Group, 695 Atlantic Ave.,
Boston, MA 02111. USA.

Developed Noise Compensation Algorithm to increase
recognition robustness against Noise and Channel varying
characteristics.

Conducted Study of Wireless/Cellular vs. Wireline/Landline
signal differences and their effect on recognition
performance.

Developed Nonlinear Front End Signal Processing.

Performed Comparative Studies of various Speech
Recognition Technologies (e.g., AT&T, NUANCE,
SPEECHWORKS recognizers).

Developed algorithms to investigate various features
(confidence score, acoustic score, etc.) and their optimal use
for combining N-best lists produced by different features
(mfcc, lpc, etc.) and different recognizers (segmental, HMM,
Watson). Combining algorithm achieved significant error
reduction as compared to the best.

Developed diphone clustering for HMM models to minimize
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model size.
1997 - 1999
1993 - 1997

Involved in re-alignment of acoustic segments for Text to
Speech (TTS) model building data. Developed frame work for
modular expansion and refinement of re-alignment process
using perl scripts combined with perl configuration files.
Implemented various heuristic rules to improve alignments
generated by the Speech Recognizer to better fit TTS.

Developed data collection program for Dialogic JCT board
that supports CSP. Developed, Run, Digested, Processed,
“Call Environment Data Collection” using this application.
 Scientist - GTE, BBN Technologies, Speech Solutions
Group, 70 Fawcett St., Cambridge, MA 02138. USA.

Compiled and Analyzed BYBLOS (research speech
recognition technology) and BBN HARK (commercial
technology) system differences; Analyzed possible BYBLOS
technologies for porting into BBN HARK; Developed and
Coded Voice Model Filter that loads BYBLOS and/or BBN
HARK training files and converts them into a new format
files in compliance to designed specifications; Ran various
tests (BYBLOS and BBN HARK) for Continuous Densities
BBN HARK for benchmarking.

Peer reviewed a paper for Speech Communication Journal.
 Speech Scientist – Voice Processing Corporation/Voice
Control Systems, Advanced Technology Development Group,
One Main Street, MA 02142. USA.

Enhanced the performance of existing Front End of Speech
Recognition System, implemented in VPro line of products,
by designing a non-linear smoothing algorithm based on
median filtering.

Developed and Implemented Dynamic Features that
augmented existing Front End Features.

Developed a universal preprocessing module of the Front
End that enables run-time front-end configuration,
decompression, and sample-rate transformations of the
original wave file.

Performed numerous tests that provided critical insights
into enhancement and debugging of VProFlex Technology.
8

Invented, Developed and Integrated a very efficient novel
Code Book Search strategy (internally named Fickle Search).

Compiled a condensed Internal Report of the Literature
Review Study on different ways to perform fast FFT’s of a
real valued sequence.

Developed, Tested, and Integrated Split Radix FFT algorithm.
The function can handle any power of 2 Real Valued FFT’s.

Modified Front End to take advantage of higher FFT size and
increased frequency resolution:



1990 – 1993
Analyzed the conflicting effect of window size and type
(higher frequency resolution causing break down of
enhancement due to harmonics,
Analyzed several possible modifications of enhancement
algorithm to accommodate higher frequency resolution,
and
Proposed elimination of pitch harmonics from the
spectrum with Homomorphic filtering or LPC - based
Spectrum.

Implemented LPC based spectrum integrating it with
existing Spectral Enhancement module of the Front End.

Initiated the study toward enhanced composition of
boundary and internal acoustic phonemic features.

Invented, Developed, Ported, and extensively Tested a novel
Noise Compensation with Speech Enhancement Algorithm.
Also invented several integration strategies that take further
advantage of the algorithm through a better interaction of
the Front End with API. that take advantage of calibration
when feasible. Default mode of operation is fully
unsupervised in real-time.

Developed and ANN software tool currently supporting five
different feed-forward back-propagation type of learning.

Developed a Pitch Tracking Algorithm based on enhanced
Super-Resolution Pitch Determination Algorithm.
 Post-Doctoral Research Associate - Swiss Federal Institute
of Technology, IGP, ETH-Hönggerberg, CH-8093 Zürich,
Switzerland.

Swiss National Science Foundation Research Project in
Image Understanding - Design and Analysis of Spatial Image
9
Sequences
1985 – 1990
 Teaching Assistant – Electrical and Computer Engineering
Department. Clemson University.

1987 - 1990
Digital Processing of the Speech Signals, Digital Systems,
Digital Circuit Design and Microprocessor Applications,
Electronics, Programming.
 Consultant - Engineering Research and Computer Services
Department, Clemson University, Electrical and Computer
Engineering Department, Clemson, SC 29634-0915. USA.

Design and Development of a database system for
processing of the expenditures of the College of Engineering,
Clemson University.

Design and Development of a database system prototype for
automation of:

Management of the repair and maintenance orders,

Task allocation and duty assignment,


Time-table management of the assigned personnel,
and
Generation of relevant statistical data.
1985 - 1986  Software Engineer - Keiltronix: Textile Control Systems
Summer Job
Inc. 2910 Horseshoe Lane, P.O. Box 1923, Charlotte, NC
28219.

Developed software for polling and analyzing data from
peripheral machine controllers. Developed software for
graphical display of status of a manufacturing dying process
in real-time.

Development of Software Package using REGIS as a low-level
software tool for dynamic display of the state of technological
process in real-time.
10
1981 - 1984
 Assistant Lecturer - Electrical Engineering Faculty,
University of Prishtina, Republic of Kosova.

Taught courses in Control Theory, Systems Theory,
Algorithms, Digital Communications, Boolean Algebra,
Digital Systems, and Programming.

Contributed in the publishing of the first Automatic Control
Theory text book in Albanian Language.

Key member of the commission that prepared a detailed
proposal for Advancement of Curricula of Electrical and
Electronics Engineering Faculty.
COMPUTER EXPERIENCE:
Languages &
Revision Control
C/C++, Fortran, Pascal, perl, awk, html, Prolog, Lisp, PLM86,
Assembler, RCS, CVS, ClearCase.
Operating Systems Unix, VMS, RSX 11M/PLUS 2, Windows NT, MS-DOS, VOS,
MVS, OpenWindows, OpenStep.
Platforms
CRAY Y, FPS-T20, NAS XL60/VS.
IBM 370/3081, VAX 8850, 11/780, PDP 11/23.
SunSparc’s, NeXT, IBM-PC’s, Mac’s, DSP Sona-Graph 5500
11
PATENTS:

Dynamic Time Warping (DTW) Using Frequency Distributed Distance
Measures: 6983246, January 3, 2006.

Scoring and Rescoring Dynamic Time Warping of Speech: 7085717,
April 1, 2006.

Exploiting Differences in Correlations for Modeled and Un-Modeled
Sequences by Transforming Trained Model Topology in Sequence
Recognition: Provisional Patent Application, August 2009

System and Methods for Facilitating Collaboration of a Group:, June
2009
BOOK CHAPTER:

Këpuska, V "Wake-Up-Word Speech Recognition", Speech Technologies
/Book 1, Intech, ISBN 978-953-307-152-7, February 2011.
JOURNAL PUBLICATIONS:





Këpuska, V. M. Eljhani, B. Hight, “Voice Activity Detector of Wake-UpWord Speech Recognition System Design on FPGA”, International
Journal of Engineering Research and Applications (IJERA), December 2014
Këpuska, V. M. Eljhani, B. Hight, “Wake-Up-Word Feature Extraction on
FPGA”, World Journal of Engineering and Technology, Scientific Research,
February 2014.
Këpuska, V. et al. (2013). Front-end of Wake-Up-Word Speech
Recognition System Design on FPGA, Journal of Telecommunications
System & Management, 2013.
Këpuska, V. et al. (2013). Energy Savings from using Mobile Smart
Technologies, Journal of Renewable and Sustainable Energy, doi:
10.1063/1.4811096, 2013
Këpuska, V., Xerxes, B., & Powers, S (2011) Phoning Home: Bridging the
Gap between Conservation and Convenience", JSAP; Vol. 2 No. 1, 2012,
pp. 1-6. doi: 10.5923/j.se.20120201.01

Këpuska, V, & Rojanasthien, P. (2011) Speech Corpus Generation from
DVDs of Movies and TV Series, JITIM, 2011-2012

Këpuska, V (2010). Wake-Up-Word Recogntion. SPIE Newsroom, Oct 6
2010. DOI: 10.1117/2.1201009.003154
http://spie.org/x42008.xml?ArticleID=x42008
12

Rodriguez, W., Fiore, S., De Welde, K., Carstens, D., Këpuska, V. (2010).
Ubiquitous Collaboration (uC) Learning, Ubiquitous Learning: Journal of
International Technology and Information Management.

Këpuska, V., & Klein, T. (2009). On Wake-Up-Word Speech Recogntion
Task, Technology, and Evaluation. Elsevier Journal of Nonlinear
Analysis.

Këpuska, V., Gurbuz, S., Rodriguez, W., Fiore, S., Carstens, D., Converse,
P., Metcalf, D. (2009). uC: Ubiquitous Collaboration Platform for
Multimodal Team Interaction Support, Submitted to Journal of
International Technology and Information Management (IJTIM), Invited
Paper Special Issue on Knowledge Management and Business Intelligence

Këpuska, V. and Mason. S., (1995). A Neural Network Approach to
Signalized Point Recognition in Aerial Photographs, Photogrammetric
Engineering & Remote Sensing, Vol. 61, No. 7, pp. 917-925, July 1995.

Mason, S. and Këpuska, V., (1992). CONSENS: An Expert System for
Photogrammetric Network Design, Allgemaine Vermessungs Nachrichten,
pp. 384-393, September 1992.
CONFERENCE PUBLICATIONS:

Këpuska, V. (2012). Elevator Simulator, IEEE-ESPA, 2012

Këpuska, V., & Shih, C. (2010). Prosodic Analysis of Alerting and
Referential Contexts of Sentinel Words. Internatioanl Conference on
Artificial Intelligence and Pattern Recogntion (AIPR'10), Orlando, Florida,
2010

Këpuska, V., & Klein, T. (2008). On Wake-Up-Word Speech Recogntion
Task, Technology, and Evaluation Results against HTK and Microsoft
SDK 5.1. Invited Paper: World Congress on Nonlinear Analysts, Orlando
2008, To appear in Journal of Nonlinear Analysis, Theory, Methods &
Applications.

Beharry, X., Këpuska, V., Powers, S., Ramdhan, R., Rojanasthien, P.,
Weerasooriya, A., (2008). Patriot Robotic System Design, Florida
Conference on Recent Advances in Robotics, FCRAR 2008

Këpuska, V., Carstens, D. S., & Wallace, R. (2006). Leading and Trailing
Silence in Wake-Up-Word Speech Recognition, Proceedings of the
International Conference: Industry, Engineering & Management Systems
2006, Cocoa Beach, FL., 259-266.

Këpuska V., (2006). Wake-Up-Word Application for First Responder
Communication Enhancement, SPIE, Orlando, 2006.
13

Këpuska V., Rogers N., Patel M., (2006). A MATLAB Tool for Speech
Analysis, Processing and Recognition: SAR-LAB, ASEE, Chicago, 2006.

Kasza T., Shahsavari M., Këpuska V., Chen Ch., (2006). Communications
Protocol for RF-based Indoor Wireless Localization Systems, SPIE,
Orlando, 2006.

Anagnostopoulos G., Georgiopoulos M., Ports K., Richie S., White M.,
Këpuska V., Chan P. K., Wu A., Kysilka M., (2006). Engaging
Undergraduate Students in Machine Learning Research: Progress,
Experiences and Achievements of Project EMD-MLR, Proceedings of the
ASEE 2006 Annual Conference and Exposition, June 18-21, Chicago,
Illinois.

Anagnostopoulos G., Georgiopoulos M., Ports K., Richie S., Cardinale N.,
White M., Këpuska V., Chan P., Wu A., Kysilka M., (2005). Project EMDMLR: Educational Material Development and Research in Machine
Learning for Undergraduate Students, Session 3232, Proceedings of the
ASEE 2005 Annual Conference and Exposition, June 12-15, Portland,
Oregon.

Mason, S. and Këpuska, V., (1992). On the Representation of CloseRange Network Design Knowledge, XVII ISPRS Congress, Washington
D.C., August 1992.

Këpuska, V. and Mason, S., (1991). Automatic Signalized Point
Recognition with Feed-Forward Neural Network, IEE Second
International conference on Artificial Neural Networks, Bournemouth, U.K.,
November, 1991.

Mason, S., Beyer, H., and Këpuska, V., (1991). An AI-based
Photogrammetric Network Design System, First Australian
Photogrammetric Conference, University of Newcastle, Australia, November
1991.

Këpuska, V. and Mason, S., (1991). Artificial Neural Network Approach
to Signalized Point Recognition in Aerial Photographs, First Australian
Photogrammetric Conference, University of Newcastle, Australia, November
1991.

Këpuska, V., Beyer, H. and Mason, S., (1991). Artificial Neural Networks
for Calibration of CCD-Cameras, Workshop on Industrial Applications
of Neural Networks, Ascona, Switzerland, September 1991.

Këpuska, V. and Gowdy, J., (1990). On the Effect of Topological
Structure of the Kohonen Network on the Performance of the
Hierarchical two Layered Isolated Word Recognition System, IEEE
Southeastcon Symposium, New Orleans, April 1990.

Këpuska, V. and Gowdy, J., (1989). Investigation of Phonemic Context
in Speech using Self-Organizing Feature Maps, IEEE International
14
Conference on Acoustics, Speech and Signal Processing - ICASSP’89,
Glasgow, Scotland, May 1989.

Këpuska, V. and Gowdy, J., (1989). Phonemic Speech Recognition Based
on Neural Network, IEEE Southeastcon Symposium, Columbia, April
1989.

Këpuska, V. and Gowdy, J., (1988). The Kohonen Net for Speaker
Dependent Isolated Word Recognition, IEEE Southeastern Symposium
on Systems Theory, UNCC Charlotte, March 1988.

Këpuska, V. and Gowdy, J., (1987). Evaluation of Digital Signal
Processing Chips for Speech Processing Applications, IEEE
Southeastern Symposium on Systems Theory, Clemson University,
Clemson, March 1987.

Këpuska, V. and Gacaferri, J., (1979). The Determination of the
Polynomial Coefficients for Approximation of the EKG with Computer,
(in Serbo-Croatian), Symposium JUREMA, Zagreb 1979.
PUBLIC REPORTS:





Këpuska, V. and Mason. S., (1992) NFP23: Design and Analysis of
Spatial Image Sequences, Wissentsschaflicher Bericht zum
Schweizerischer Nationalfonds zer Förderung der Wissentsschaftlicher
Forschung, 1992.
Këpuska, V. and Mason, S., (1992) Design and Analysis of Spatial
Image Sequences, NFP 23 Third Annual Status Report, Bern, July 6, 1992.
Këpuska, V. and Mason. S., (1991) NFP23: Design and Analysis of
Spatial Image Sequences, Wissentsschaflicher Bericht zum
Schweizerischer Nationalfonds zer Förderung der Wissentsschaftlicher
Forschung, 1991.
Këpuska, V. and Mason, S., (1991) Design and Analysis of Spatial
Image Sequences, NFP 23 Second Annual Status Report, Bern, June 5,
1992.
Mason, S. and Këpuska, V.,(1991) NFP 23: Design and Analysis of
Spatial Image Sequences (Project Summary), SGAICO Newsletter, Swiss
Group for Artificial Intelligence and Cognitive Science, 1991.
PROFESSIONAL MEMBERSHIPS:
 Past Member of Institute of Electrical and Electronics Engineers (IEEE).
 Past Member of International Neural Network Society (INNS).
SPECIAL SKILLS:
 Languages: Albanian (Mother Tongue), English, Serbo-Croatian, German
(beginner), Turkish (beginner).
15