Seyed Mehran Kazemi
X568, Computer Science Department
University of British Columbia
2236, Main Mall, Vancouver, BC, Canada
Education
Cell Phone: +1-778-710-7291
[email protected]
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PhD in Computer Science
University of British Columbia (UBC), Vancouver, BC, Canada, (2014 - present).
Research Area: Lifted Reasoning and Learning in Probabilistic Models, Supervisor: Prof. David Poole
MSc in Computer Science
University of British Columbia (UBC), Vancouver, BC, Canada, (2012 - 2014), GPA: 92/100.
Thesis Title: Relational Logistic Regression, Supervisor: Prof. David Poole
B.Sc. in Software Engineering
Amirkabir University of Technology (AUT), Tehran, Iran, (2018 - 2012), GPA: 19.18/20.
Thesis: Image Restoration using Chaotic Neural Networks, Supervisor: Dr. Saeed Shiry Ghidary
Relevant
Courses
University of British Columbia
Machine Learning & Data Mining, Machine Learning Theory, Adv. Artificial Intelligence, Uncertainty in
Artificial Intelligence, Adv. Machine Learning (Audit), Multi-Agent Systems, Image Understanding
Amirkabir University of Technology
Intro. to Machine Learning, Intro. to Data Mining, Intro. to Artificial Intelligence, Neural Networks (Audit),
Algorithms and Data Structures, Advanced Programming, Information Retrieval, Intro. to Databases
Publications Kazemi, S.M., Kimmig, A., Van den Broeck, G., and Poole, D., 2016, New Liftable Classes for
First-Order Probabilistic Inference, In NIPS-16.
Kazemi, S.M. and Poole, D., 2016, Why is Compiling Lifted Inference into a Low-Level Language
so Effective?, In IJCAI-16 Statistical Relational AI (StaRAI) Workshop.
Kazemi, S.M. and Poole, D., 2016, Knowledge Compilation for Lifted Probabilistic Inference: Compiling to a Low-level Language, In KR-16 (short paper).
Fatemi, B., Kazemi, S.M. and Poole, D., 2016, A Learning Algorithm for Relational Logistic Regression: Preliminary Results, In IJCAI-16 Statistical Relational AI (StaRAI) Workshop.
Kazemi, S.M. and Poole, D., 2016, Lazy Arithmetic Circuits, In AAAI-16 Beyond-NP Workshop.
Kazemi, S.M., Buchman, D., Kersting, K., Natarajan, S., and Poole, D., 2014, Relational Logistic
Regression, In KR-14.
Kazemi, S.M. and Poole, D., 2014, Elimination Ordering in Lifted First-Order Probabilistic Inference, In Proc. Twenty-Eighth AAAI Conference (AAAI-14), Quebec City, pp. 863-870.
Poole, D., Buchman, D., Kazemi, S.M., Kersting, K., and Natarajan, S., 2014, Population Size
Extrapolation in Relational Probabilistic Modelling, In U. Straccia and A. Cali (Eds.): Proc. 8th
International Conference on Scalable Uncertainty Management, LNAI 8720, pp. 292-305.
Kazemi, S.M., Buchman, D., Kersting, K., Natarajan, S., and Poole, D., 2014, Relational Logistic
Regression: the Directed Analog of Markov Logic Networks, In Proc. AAAI-14 StaRAI Workshop.
Honors and Four Year Fellowship (UBC’s Premier PhD Award): 26000 CAD per year, UBC, 2014
Awards
ICICS Graduate Scholarship: for two consecutive years, 5000 CAD per year, UBC, 2014
Olympiad Gold Medalist: 16th national olympiad in computer engineering, Iran, 2011
Ranked 1st in Cumulative GPA: software eng. department, Amirkabir Univ. of Tech., 2012
Student Travel Awards: AAAI-2014 and KR-2016
Seyed Mehran Kazemi
Top Ranks at Data Mining Cup: ranked 2nd and 16th in 2012 and 5th and 9th in 2011 in online
and offline tasks, Berlin, Germany
Best Student of the Year: three consecutive years, Amirkabir Univ. of Tech., 2009-2012.
Top 0.05% in Iran’s University Entrance Exam: more than 400,000 participants, 2008
Software
L2C: Fast lifted inference for relational probabilistic models
Compiles lifted inference or weighted first-order model counting (WFOMC) into C++ programs.
Work
Experience
Contractor at TELUS: July-2016 to present
Designing a probabilistic model to solve an entity resolution problem in TELUS billing accounts.
Founder at Ziresad.com (failed): June-2015 to February-2016
A social network where Iranian high school students participating in the national university entrance exam
could be in touch with each other and with their mentors, and take preparation tests online.
Research Intern at Curatio Networks Inc.: September-2014 to March-2015
Design and implementation of: 1- a people-to-people recommendation system, 2- a question routing system
in a community question answering framework for a medical social network.
Research Intern at Treatment.com: May-2013 to September-2013
Conditioning on patients’ electronic health records and predicting how likely they are to have a congestive
heart failure.
Notable
Course
Projects
Boosting Multi-class Logistic Regression and Relational Logistic Regression Classifiers:
Machine Learning Theory course project, Spring 2014.
Learning in Stochastic Games: A Review of the Literature: Multi-agent Systems course
project, Spring 2013.
Tweet Classification Contest: Machine Learning & Data Mining course project, Fall 2012.
Patient Scheduling: An Overview of the Literature: Advanced Artificial Intelligence course
project, Fall 2012.
Implementing a Semantic Search Engine: Information Retrieval course project, Spring 2010.
Teaching
Experience
Technical
Skills
Artificial Intelligence
Offered by Prof. David Poole
Offered by Prof. Alan Mackworth
Offered by Prof. Giuseppe Carenini
Offered by Prof. Mohammad Mehdi Ebadzadeh
Teacher Assistant
Fall 2015
Spring 2013
Fall 2012
Fall 2011
Relational Databases
Offered by Prof. George Tsiknis
Teacher Assistant
Summer 2013
Data Mining
Offered by Dr. Shahram Khadivi
Teacher Assistant
Spring 2012
Operating Systems
Offered by Prof. Hossein Pedram
Teacher Assistant
Fall 2011
Data Structures
Offered by Dr. Mehdi Dehghan Takhfooladi
Teacher Assistant
Fall 2011
Programming Languages: Ruby, Java, C/C++, Matlab.
Web Technologies: Ruby on Rails, HTML, CSS, Java Script, JQuery
Databases: SQL, Postgress
Tools/Libraries: Weka, R, Rapid Miner, OpenGL, ModelSim, PSPICE, Proteus
Operating Systems: MacOSx, Linux, Windows
Typesetting: LATEX