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Computer Science

Computer Science

McMaster University

Computer Science at McMaster University has 21 faculty on GradNova.

Faculty

D
Molecular Modeling of Ion Channels With Drugs and Toxins
D
Aging and Vision
Cognitive Neuroscience
Face and Object Recognition
Motion Perception
+3
D
Frequency and Properties of Laterally Transferred Genes
The Properties of Protein Repeats and the Determinants of Evolutionary Rates of Change
D
Animal Behaviour
Conservation
Ecology
Epidemiology
+1
D
Evidence-Based Care and Policy in Seniors and Geriatric Care
D
Computational Neurobiology and Cognition
D
Analytical, Computational, and Statistical Methods
Dynamics of Ecological and Evolutionary Systems
Spatial Population Dynamics of Competitive and Host-Pathogen Systems
D
Aging
Evoked Potentials and EEG
Neural Plasticity and Development
Neuroimaging
+3
D
Aged Health Care
Artificial Intelligence and Image Processing
Optimization
D
Bayesian Neural Network
Deep Learning Models
Digital Economy
Digital Marketing & Sales
+3
D
Advancing Data-Driven Decision-Making and Optimization Techniques for Large-Scale, Complex Systems
D
Approximation Algorithms
Computational Complexity
Design and Analysis of Algorithms
Game-Theoretical Study of Large Data and Communication Networks
D
Decision-Making Under Uncertainty
Models of Healthcare Operations
Predictive and Prescriptive Analytics
D
Frustrated Magnets and Mesoscopic Electronic Systems
Low Dimensional Strongly Correlated Systems
Theory and Simulation of Quantum Materials
D
Computer Aided Geometric Design
Computer Graphics and Visualization Including Haptics
Dimensional Metrology
Industrial Geometry Inspection
+1
D
Cyber-Physical Testing Methods
Data-Informed Risk Analysis
Performance-Based Design
Structural Resilience to Fire and Cascading Hazards
+1
D
Numerical Linear Algebra and Applications
Numerical Software
Scientific Computing
D
Chemical Exposures and Health
D
Adaptive Numerical Methods Based on the Wavelet Transform
Theory and Computation of Fluid Turbulence
D
Numerical Simulation of the Formation and Evolution of Cosmic Structure
D
Modelling and Computational Aspects of Failure of Materials and Structures
Optimal Design Problems