Gary Grewal

Gary Grewal is an Associate Professor at the School of Computer Science, University of Guelph. His research focuses on developing intelligent Computer-Aided Design (CAD) tools for Field Programmable Gate Arrays (FPGAs), integrating classical optimization techniques with machine learning and deep learning to address challenges in placement and routing for heterogeneous devices. He has received the Michal Servit Award (2017, 2018) for outstanding FPGA research and the University of Guelph Faculty Association Distinguished Professor Award for Excellence in Teaching (2017). Grewal has held NSERC Discovery Grants annually from 1999 to 2023.

• Co-founder of the Guelph FPGA CAD Group
• Key collaborator with institutions like Ryerson University, University of Toronto, and University of British Columbia

His work extends to health technology through the IronTracker mobile app, developed with Andrew Hamilton-Wright and students (A. D'Angelo, J. Carter, F. Liu, R. Pattison) to manage Hereditary Hemochromatosis (HHC). The app, available in four languages and adopted in 100+ countries, was recognized at Parliament Hill and the Ontario Legislature.

Scientific Awards:

• Michal Servit Award (2018)
• Michal Servit Award (2017)
• Distinguished Professor Award for Teaching (2017)
• NSERC Discovery Grants (1999-2023)

His recent publications highlight trends in machine learning for FPGA CAD, including reinforcement learning for partitioning, deep learning for congestion estimation, and adaptive algorithms for placement. Grewal remains active in teaching courses like Discrete Optimization (CIS*6070) and Digital Systems I (CIS*3120).