Computational Neuroscience

Computational neuroscience is an interdisciplinary field that uses mathematical models, computer simulations, and algorithms to understand how the brain processes information.
Michael Anderson - Philosophy of Neuroscience 
Corey Baron - Multidimensional Imaging Biomarkers
Elvis Chen - Computer-Assisted Interventions and Medical Image Computing
Mark Daley - Neural Networks, AI Safety, Machine Learning, Computation
Jorn Diedrichsen - Data Science Methods for Neuroscience Data Analysis
Roy Eagleson - 3D Biomedical Visualization and Surgical Simulation
Fang Fang - Machine Learning for Wireless Communications
Paul Gribble - Sensory and Motor Systems, Brain Control of Movement
Anwar Haque - 5G, Internet of Things, Cyber-Security, Autonomous Systems
Ali Khan - Intelligent Image Processing and Analysis Technologies
Stefan Köhler - Cognitive and Neural Mechanisms of Memory
Jed Long - GIS/GIScience, GPS Tracking, Movement, Space-time Models, Spatial Ecology, Open Source Software
Haojie Mao - Traumatic Brain Injury, Biomechanics, Safety
Yalda Mohsenzadeh - AI, Machine Learning
Lyle Muller - Neural Dynamics, Computational Modeling
Apurva Narayanan - Data Science, AI Safety, Explainable AI
Rajni Patel - Robotics, Mechatronics, Surgery
Ruslan Suvorov - Language Testing, CALL, Technology
Jean Theberge - Brain Imaging, Psychiatry, Schizophrenia