Contacts

Degrees

• Ph.D., Hebrew University, Jerusalem, Israel (1987)
• M.Sc., Hebrew University Jerusalem, Israel (1979)
• B.Sc., Hebrew University Jerusalem, Israel (1978)

Research interests

• Machine learning theory
• Unsupervised learning and clustering
• Domain adaptation and transfer learning
• Fairness, reliability and interpretability of machine learning-based tools
• Logic and its applications to computer science theory
• Alternatives to worst-case complexity

Publications

Shai Ben-David on Google Scholar

Degrees

• Ph.D., Cornell University, USA (1996)
• MS, Cornell University, USA (1994)
• B.Sc., PhysTech, Russia (1992)

Research interests

• Computer vision, image segmentation, stereo, reconstruction, bio-medical image analysis
• Semi-supervised, weakly supervised, self-supervised, and unsupervised learning, regularization
• Optimization

Publications

Yuri Boykov on Google Scholar

Degrees

• Ph.D., Cornell University, United States (2000)
• M.Sc., Cornell University, United States (1999)
• B.Sc., Massachusetts Institute of Technology, United States (1995)

Research interests

• Computational creativity: using computers to create artifacts that if humans created them, we would call them creative
• Music Information retrieval: using techniques from computer science to understand the information found in music (recordings, scores, lyrics)
• Bioinformatics: designing algorithms to compare, analyze, and find information in biological sequences

Publications

Dan Brown on Google Scholar

Degrees

• Ph.D., University of California, Santa Barbara, United States (2021)
• M.Sc., RWTH Aachen University, Germany (2017)
• B.Sc., Huazhong University of Science and Technology, China (2014)

Research interests

• Natural Language Processing
• Deep Learning

Publications

Wenhu Chen on Google Scholar

Degrees

• PhD, University of Toronto (1983)
• MSc, University of Toronto (1977)
• BA Hons., Mathematics, McGill University (1975)

Research interests

• Artificial intelligence: multiagent systems (models of trust and reputation, applications to social networks), trusted AI, user modeling, intelligent interaction
• Social implications of computers

Publications

Robin Cohen on DBLP

Degrees

• PhD, Computer Science, Harvard University (2023)
• Master in Language Technologies, Carnegie Mellon University (2016)
• Bachelor of Engineering, Department of Automation, Tsinghua University (2014)

Research interests

Yuntian Deng’s research interests center on the intersection of natural language processing, machine learning, and multi-agent systems. Specifically, he is interested in exploring how large language models (LLMs) can communicate and collaborate to solve complex tasks together, and how they can be trained to specialize in different domains for a division of labor. His key focus areas include:

• Inducing Latent Language for Inter-LLM Communication: Developing methods to induce a specialized language for LLM communication, thereby enabling LLMs to leverage each other’s expertise.
• Communication for Models Across Modalities: Extending Inter-LLM communication methods to enable collaboration among models that specialize in different modalities, such as language, image, and sensory data.
• Collaborative Training for Division of Labor among Models: Exploring ways to foster a division of labor among models, using communication as a tool to distribute knowledge among them during the training process.

Publications

Yuntian Deng on Google Scholar

Degrees

• Ph.D., The University of Edinburgh, United Kingdom (2015)
• M.Sc., The University of Edinburgh, United Kingdom (2010)
• B.Sc., Athens University of Economics and Business, Greece (2009)

Research interests

• Computational learning for reasoning
• Machine learning on graphs

Publications

Kimon Fountoulakis on Google Scholar

Degrees

• J.D., Georgetown University Law Center (1999)
• Ph.D., Adelphi University, United States (1984)
• M.A., Adelphi University, United States (1982)
• A.B., Brown University, United States (1980)

Research interests

• High-Recall Information Retrieval, in which the goal is to find substantially all information relevant to an information need with the least possible effort, where the stakes of missing relevant information are high
• Key application areas include electronic discovery in law, curation of government archives, and systematic review in evidence-based medicine
• Responsible AI and Data Science, which includes, but is not limited to, legal, ethical, and policy considerations

Publications

Maura R. Grossman on Google Scholar

Degrees

• Ph.D., University of British Columbia (2004)
• M.Sc., University of British Columbia (1995)
• B.Sc., McGill University (1992)

Research interests

• Assistive Technologies and Rehabilitation Science
• Emotional Artificial Intelligence and Affective Computing
• Decision-making under uncertainty

Publications

Jesse Hoey on Google Scholar

Degrees

• Ph.D., Massachusetts Institute of Technology, United States (2018)
• S.M., Massachusetts Institute of Technology, United States (2014)
• B.Sc., Cornell University, United States (2012)

Research interests

• Differential privacy, robustness
• Machine learning and statistics
• Algorithms

Publications

Gautam Kamath on Google Scholar

Degrees

• Ph.D., University of Turku, Finland (1991)
• M.Sc., University of Bucharest, Romania (1987)

Research interests

• Biodiversity informatics, Comparative genomics, Genomic signatures, Machine learning
• Natural computation, Bio-inspired computing, Bio-molecular computing
• Watson-Crick complementarity in formal languages, DNA computing & combinatorics on words

Publications

Lila Kari on Wikipedia

Lila Kari on Google Scholar

Degrees

• Ph.D., Carnegie Mellon University, United States (2004)
• M.Sc., Washington University in St. Louis, United States (1999)
• B.Sc., Memorial University of Newfoundland (1997)

Research interests

• Artificial Intelligence with a focus on multiagent systems and reinforcement learning
• Cooperation and coordination in multiagent systems
• Applications of artificial intelligence to support sustainable development and climate-related initiatives

Publications

Kate Larson on Google Scholar

Degrees

• PhD, Machine Learning, Carnegie Mellon University
• MSc, Computer Science, McGill University
• BSc, Computer Science, University of British Columbia

Research interests

• Social computing technology that coordinates small groups to large crowds
• New models of interactions with machine intelligence
• How technology can be designed to foster and celebrate certain human values

Publications

Edith Law publications

Degrees

• Doctor of Philosophy, Electrical Engineering and Computer Science, Massachusetts Institute of Technology (2004)
• Master of Engineering, Electrical Engineering and Computer Science, Massachusetts Institute of Technology (2001)
• Bachelor of Science, Electrical Engineering and Computer Science, Massachusetts Institute of Technology (2000)

Research interests

• Natural language processing
• Information retrieval
• Data science

Publications

Jimmy Lin Publications

Jimmy Lin on Google Scholar

Degrees

• Ph.D., Computational Biology and Bioinformatics, University of Southern California, United States (2017)
• M.S., Computer Science and Engineering, Shanghai Jiao Tong University, China (2013)
• B.S., Computer and Software Engineering, Shanghai Jiao Tong University, China (2010)

Research interests

• Developing machine learning and statistical methods for genomics and proteomics data analysis using interpretable machine learning, reproducible (error-controlled) machine learning, and heterogeneous data integration
• Developing interpretation methods to find scientifically interesting and statistically confident hypotheses from complex biological data from single-cell genomics, mass spectrometry-based proteomics, and metagenomics

Publications

Yang Lu on Google Scholar

Degrees

• Ph.D., Simon Fraser University (2003)
• M.Sc., University of British Columbia (1996)
• B.Math., University of Waterloo (1994)

Research interests

• Neural networks and artificial intelligence
• Neuroscience, and the use of neural networks to understand the computational principles of the brain
• Biologically-inspired neural learning algorithms

Publications

Jeff Orchard on Google Scholar

Degrees

• Ph.D., University of Toronto (2004)
• M.Sc., University of British Columbia (2000)
• B.Sc., McGill University (1998)

Research interests

• Machine Learning, including Reinforcement Learning, Federated Learning, Continual Learning, Self-Supervised Learning, Meta Learning, Few Shot Learning, Causal Learning, Uncertainty Quantification and Calibration
• Applications of Machine Learning in Natural Language Processing (Conversational Agents, Grammar Error Correction, Automated Text Editing) and Material Design (Bayesian Optimization of catalysts, oxygen carriers and other materials to facilitate desirable chemical reactions for CO2 conversion and CO2 capture)

Publications

Pascal Poupart Publications

Education

• PhD, Computer Science, Toyota Technological Institute at Chicago (2023)
• BS, Intelligence Science and Technology, Peking University (2018)

Research interests

• Computational linguistics, natural language processing and machine learning: compositional semantics, grounded language acquisition, unsupervised and semi-supervised representation learning, structured prediction, narrative understanding, and information theory for natural language processing

Publications

Freda Shi on Google Scholar

Freda Shi publications

Degrees

• Ph.D., University of Waterloo (1990)
• M.Math., University of Waterloo (1986)
• B.Sc., University of British Columbia (1984)

Research interests

• Artificial intelligence with a focus on representation and reasoning, constraint programming, constraint satisfaction, backtracking algorithms, planning, scheduling, combinatorial optimization, applied machine learning, probabilistic reasoning, and applications of artificial intelligence
• A recent additional interest is algorithms and techniques in computational photography

Publications

Peter van Beek Publications

Degrees

• Ph.D., Cornell University, United States (1999)
• M.Sc., Cornell University, United States (1999)
• B.A., New York University, United States (1995)

Research interests

• Computer vision, machine learning, deep learning, discrete optimization, graph algorithms
• Image segmentation, semantic segmentation, salient object detection

Publications

Olga Veksler on Google Scholar

Degrees

• Ph.D., University of Alberta (2013)
• M.Sc., Fudan University, China (2008)
• B.Sc., Fudan University, China (2005)

Research interests

• Machine Learning, including generative modelling, representation learning, robustness, and kernel methods, as well as application to computer vision and natural language processing
• Optimization Algorithms, including convex and non convex optimization, distributed and federated learning, iteration complexity bounds, robust and stochastic optimization

Publications

Yaoliang Yu on Google Scholar

Degrees

• Ph.D., Carnegie Mellon University, United States (2019)
• M.Sc., Carnegie Mellon University, United States (2018)
• M.Sc., Peking University, China (2015)

Research interests

• Machine Learning
• AI Security and Privacy
• Trustworthy Machine Learning

Publications

Hongyang Zhang on Google Scholar

Degrees

• PhD, Computer Science, University of Washington (2023)
• Master of Science, Computer Science, Stanford University (2016)
• Bachelor of Applied Science, Computer Engineering, University of Toronto (2014)

Research interests

• Machine learning
• Natural language processing
• Reinforcement learning
• Artificial intelligence

Publications

Victor Zhong on Google Scholar