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Computer Science

Computer Science

McMaster University

Computer Science at McMaster University has 36 faculty on GradNova.

Faculty

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
Reliability and Maintenance Optimization
Risk and Safety Analysis
Urban Transport and Accessibility
+2
D
Design and Analysis of Algorithms (in Particular Approximation Algorithms for Hard Problems); Computational Complexity; Application of Theoretical Results to Practice. Game-Theoretical Study of Large Data and Communication Networks
Optimization and Search Problems
IoT and Edge/fog Computing
Complexity and Algorithms in Graphs
+2
D
Models of Healthcare Operations; Predictive and Prescriptive Analytics to Support Decision-Making Under Uncertainty
Healthcare Operations and Scheduling Optimization
Advanced Queuing Theory Analysis
Energy Load and Power Forecasting
+2
D
In Particular Low Dimensional Strongly Correlated Systems, Such as Frustrated Magnets and Mesoscopic Electronic Systems
Theory and Simulation of Quantum Materials
Theory and Simulation of Quantum Materials. in Particular Low Dimensional Strongly Correlated Systems, Such as Frustrated Magnets and Mesoscopic Electronic Systems
D
Computer Aided Geometric Design
Computer Graphics and Visualization Including Haptics
Dimensional Metrology
Industrial Geometry Inspection
+6
D
Cyber-Physical Testing Methods (e.g., Hybrid Fire Simulation) and Data-Informed Risk Analysis to Support Performance-Based Design
Structural Resilience to Fire and Cascading Hazards, Particularly Focused on Wildfire-Exposed Infrastructure
Fire Effects on Concrete Materials
Fire Dynamics and Safety Research
+3
D
Numerical Linear Algebra and Applications
Numerical Software
Scientific Computing
Matrix Theory and Algorithms
+4
D
Chemical Exposures and Health
Toxic Organic Pollutants Impact
Indoor Air Quality and Microbial Exposure
Air Quality and Health Impacts
+2
D
Theory and Computation of Fluid Turbulence, With a Special Interest in Adaptive Numerical Methods Based on the Wavelet Transform
D
Numerical Simulation of the Formation and Evolution of Cosmic Structure
D
Modelling and Computational Aspects of Failure of Materials and Structures
Modelling and Computational Aspects of Failure of Materials and Structures. Optimal Design Problems
Optimal Design Problems
Numerical Methods in Engineering
+4
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