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Computer Science

Computer Science

University of Montreal

Computer Science at University of Montreal has 51 faculty on GradNova.

Faculty

A
Machine Learning
Theoretical Computer Science
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
+3
E
Model-Driven Engineering
Software Engineering
Model-Driven Software Engineering Techniques
Advanced Software Engineering Methodologies
+3
D
Data Mining
Machine Learning
D
Computational Complexity Theory
Discreet Mathematics
L
Cryptography
Quantum Computing
Quantum Computing Algorithms and Architecture
Quantum Information and Cryptography
+3
H
Automated Software Engineering
Software Engineering
Software Engineering Research
Advanced Software Engineering Methodologies
+3
U
Machine Learning
Optimization
S
Computer Vision
Stereoscopy
Robotics and Sensor-Based Localization
Advanced Vision and Imaging
+3
I
Data Mining
Deep Learning
Topic Modeling
Bayesian Modeling and Causal Inference
+3
J
Combinatorial Geometry
Pattern Recognition
G
Algorithmics
Machine Learning
Tensor Decomposition and Applications
Machine Learning and Algorithms
+3
J
Genetic Algorithm
Logistics
L
Computer Vision
Robotics
Robotics and Sensor-Based Localization
Robotic Path Planning Algorithms
+3
J
Machine Learning
Natural Language Processing
Information and Cyber Security
Spam and Phishing Detection
+3
K
Nonlinear Programming
Theoretical Computer Science
S
Compiling
Proof Assistants
Logic, Programming, and Type Systems
Formal Methods in Verification
+3
I
Machine Learning
Representation Learning
M
Computer Vision
Remote Sensing
D
Human-AI Interaction
Human–computer Interaction
Digital Storytelling and Education
Architecture and Computational Design
F
Bioinformatics
Genomics
RNA and Protein Synthesis Mechanisms
RNA Modifications and Cancer
+3
B
Deep Learning
Natural-Language Processing (nlp)
Social Robot Interaction and HRI
Action Observation and Synchronization
+1
P
Sequence Alignment
Statistical Learning
Natural Language Processing Techniques
Topic Modeling
+3
S
Machine Learning
Representation Learning
D
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