Professors

University of Saskatchewan · Computer Science

machine learning

• computer vision
• deep learning
• video analysis

Toronto Metropolitan University · Computer Science

machine learning · signal processing · information theory · communication networks

• learning and inference
• deep learning
• ar/vr
• lia lab

University of Guelph · School of Computer Science

artificial intelligence · machine learning · computer vision · computational vision · deep learning

• artificial intelligence
• machine learning
• computer vision
• computational vision
• deep learning

Stevens Institute of Technology · Computer Science

scientific machine learning · physics-informed machine learning · deep learning

• scientific machine learning
• physics-informed ml
• deep learning
• knowledge-guided ml

University of Texas at Dallas · Computer Science

machine learning · submodular optimization · deep learning

• data subset selection
• submodularity
• efficient ml

University of Ottawa · Electrical Engineering and Computer Science

machine learning

• computer vision
• image and video analysis
• visual surveillance
• embedded vision
• deep learning

University of Windsor · School of Computer Science

deep learning · machine learning · natural language processing · computer vision · individual-based modeling · theoretical biology

• deep learning
• machine learning
• nlp
• bioinformatics
• individual-based modeling

Dalhousie University · Computer Science

machine learning

• deep learning
• generative models
• applied ml (vector institute)

University of Windsor · School of Computer Science

machine learning · deep learning · data analytics · databases

• machine learning
• deep learning
• data analytics
• databases

University of Windsor · School of Computer Science

deep learning · machine learning · reinforcement learning · computer vision · natural language processing · ai-based decision support systems

• deep learning
• machine learning
• computer vision
• nlp
• computational epidemiology
• social network analysis

Carleton University · School of Computer Science

multi-agent systems · reinforcement learning · game theory · deep learning · machine learning · ai safety · generative ai

• multi-agent reinforcement learning
• non-stationarity
• sample efficiency
• ai safety
• theoretical reinforcement learning

University of Guelph · School of Computer Science

machine learning · deep learning · neural networks · structural pattern recognition · bioinformatics

• machine learning
• deep learning
• neural networks
• structural pattern recognition
• bioinformatics

Concordia University · Computer Science and Software Engineering

machine learning

• deep learning
• medical image processing
• computer-aided diagnosis
• pattern recognition
• ai in healthcare

Texas Tech University · Computer Science

big data science · data mining and machine learning · deep learning · crowdsourcing · data privacy and security

Simon Fraser University · Computing Science

machine learning

• deep learning
• automl
• scientific ml
• foundation models

Western University · Computer Science

machine learning

• ai
• ml
• deep learning
• computer vision
• cognitive computational neuroscience
• brain data analysis

University of Texas at Dallas · Computer Science

computer vision · multimodal machine learning · deep learning

• audio-visual learning
• multimodal
• computer vision

University of California, Davis · Computer Science

machine learning · representation learning · computational neuroscience

• unsupervised learning
• representations
• deep learning

University of Utah · Computer Science (Kahlert School of Computing)

human-computer interaction · computer vision · deep learning

Stevens Institute of Technology · Computer Science

machine learning · deep learning · graph neural networks · transfer and federated learning · use-inspired ai · data mining

• machine learning
• graph neural networks
• federated learning
• data mining
• use-inspired ai