Artificial Intelligence – Department of Electrical Engineering & Computer Science

Marcus Brubaker
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Assistant Professor

Marcus Brubaker

Computer Vision Machine Learning Bayesian Statistics Computational Biology Marcus Brubaker received his PhD in Computer Science from...
James Elder
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Professor

James Elder

Computer Vision; Human Vision. James Elder received his PhD in Electrical Engineering from McGill University in 1996. He is a member of the...
Michael R. M. Jenkin
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Professor

Michael R. M. Jenkin

Computer Vision, virtual reality and mobile robotics; Immersive displays. Michael Jenkin is a Professor of Computer Science and Engineering,...
Hui Jiang
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Professor

Hui Jiang

Machine Learning / Pattern Classification; Deep Learning / Neural Networks; Natural Language Processing (language modelling, paraphrase, question...
Yves Lesperance
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Associate Professor

Yves Lesperance

Artificial intelligence, knowledge representation and reasoning; Logic-based tools for building intelligent autonomous agents; Design and implementation...
Ali Sadeghi-Naini <br> York Research Chair
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Assistant Professor

Ali Sadeghi-Naini
York Research Chair

Quantitative Imaging and Biomarkers; AI and Machine Learning for Precision Medicine; Radiomics and Theranostics; Image-Guided Therapeutics;...
Zbigniew Stachniak
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Associate Professor

Zbigniew Stachniak

Formal methods in Artificial Intelligence (Automated Reasoning, Knowledge Representation); Symbolic Logic in Computer Science; History of Computing;...
John K. Tsotsos <br> Canada Research Chair: Computational Vision
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Distinguished Research Professor of Vision Science

John K. Tsotsos
Canada Research Chair: Computational Vision

Computational vision Computational Neuroscience Human Vision Artificial Intelligence and robotics Prof. John K. Tsotsos is currently the Distinguished...
Vassilios Tzerpos
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Associate Professor

Vassilios Tzerpos

Audio processing with an emphasis on musical applications Deep learning Digital Signal Processing Machine Listening Software engineering education...
Ruth Urner
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Assistant Professor

Ruth Urner

Machine learning theory Societal aspects of machine learning; fairness in ML; interpretability in ML Ruth Urner has joint the EECS department...