Dr. Gary Grewal

Biography

Professor Gary Grewal obtained his PhD from the University of Guelph in 1998 and joined the School of Computer Science at the University of Guelph in 1999. His research primarily focuses on developing Computer-Aided Design tools for Field Programmable Gate Arrays (FPGAs). Since their inception in 1984, advances in transistor integration technologies have significantly enhanced FPGAs, evolving them from simple programmable logic fabrics to heterogeneous devices capable of implementing complete systems on a chip. However, continual reductions in silicon die feature sizes have led to new challenges for FPGA CAD tools, making traditional optimization objectives increasingly difficult to achieve. Grewal’s work aims to improve FPGA CAD tools by combining classical optimization techniques with modern machine learning and deep learning methods. He has received multiple accolades for his contributions, including the Michal Servit Award for outstanding papers on algorithms, methods, and CAD tools for FPGAs in both 2017 and 2018, as well as the University of Guelph Faculty Association Distinguished Professor Award for Excellence in Teaching in 2017. His research has also received media coverage, particularly regarding the design of an app to help manage the genetic disorder hemochromatosis.

Research Interests

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Awards