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Computer Science

Computer Science

University of Toronto

Computer Science at University of Toronto has 123 faculty on GradNova.

Faculty

M
Graph Colouring
Graph Theory
Probabilistic Methods
Random Graphs
+6
M
Cloud Computing
Compilers
Computer Architecture
Graph Theory
+13
K
Automated Reasoning
Database Systems
Design Automation
Distribution Testing
+8
S
AI Planning and Reinforcement Learning
Cognitive Robotics
Commonsense Reasoning
Human-Compatible AI
+7
A
Context-Aware Computing
Human-Computer Interaction
Interaction Methods
Mobile Computing
+8
P
Algorithms for Social Networks Analysis
Computational Social Science
Game Theory and Social Choice
Information Networks
+13
C
Bayesian Inference
Deep Learning
Machine Learning
Optimization
+5
P
Quantum Optics
F
Blockchain
Programming Languages
Software Engineering
Software Reliability
+7
D
3D Reconstruction
Computational Imaging
Computer Graphics
Computer Vision
+8
A
Ai4science
Computer Graphics
Computer Vision
Inverse Problems
+2
D
Computational Fabrication
Computer Graphics
Computer-Aided Design
Numerical Methods for Graphics
+1
K
Advanced 3D Sensors
Computational Cameras
Computational Light Transport
Computational Photography
+4
R
Causal Inference
Computational Medicine
Deep Generative Modeling
Machine Learning
+8
N
Approximate Query Processing With Deep Learning Models
Data Management
Data Management Systems
Machine Learning Applications in Neuroscience
+8
S
Complexity Theory
Error-Correcting Codes
Finite Fields
Randomness and Pseudorandomness
+6
A
Computational Fabrication
Computer Animation
Computer Graphics
Geometry Processing
+6
A
Applied Cryptography
Data Privacy
Privacy
Privacy-Preserving Systems
+6
V
Distributed Systems
Theoretical Computer Science
Distributed Systems and Fault Tolerance
Optimization and Search Problems
+3
A
Arvind Gupta

Professor Academic Director, Professional Programs Director, Strategic Initiatives

Computer Science

University of Toronto

Innovation Policy
Mathematical and Computational Modeling
Modeling Physiological and Health-Care Systems
Non-Invasive Techniques for Detecting Physiological and Psychological Stresses
+5
T
3D Uis
Ar/vr
Human-Computer Interaction
Human-Robot Interaction
+10
R
Bayesian Learning
Machine Learning
Neural Networks
Neural Networks and Applications
+4
E
Eitan Grinspun

Professor Associate Chair, Communications, Mentoring and Inclusion

Computer Science

University of Toronto

Computational Mechanics
Computer Graphics
Contact Mechanics
Discrete Differential Geometry
+6
A
Computational Biology
Developing Machine Learning Models for Clinical Decision Tasks
Disease Heterogeneity Deconvolution (both From Clinical and Biological Perspective)
Drug Response Predictions
+5
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