Costas Sarris

Professor Costas Sarris is a faculty member at the Department of Electrical and Computer Engineering, University of Toronto, where he has been since 2002. He holds a PhD in Electrical Engineering and an MSc in Applied and Interdisciplinary Mathematics from the University of Michigan, and a Diploma in Electrical and Computer Engineering from the National Technical University of Athens.

• Research Focus: Computational electromagnetics, scientific machine learning, wireless propagation modeling, uncertainty quantification, and convex optimization of wireless power transfer systems.
• Leadership Roles: Editor-in-Chief of the IEEE Journal on Multiscale and Multiphysics Computational Techniques (2019-2024), TPC Chair for multiple IEEE conferences, and Chair of the IEEE MTT-S Technical Committee on Field Theory and Computational Electromagnetics (2018-2020).

His recent work includes generalizable neural network propagation models for indoor/tunnel environments, hybrid physics-informed neural networks for multiphysics, and uncertainty quantification techniques using polynomial chaos expansion. He has received numerous awards, including the IEEE Fellow (2025) and the Faculty Teaching Award (2021).

• Scientific Awards:
  • IEEE Fellow (2025)
  • IEEE Antennas and Propagation Society Distinguished Lecturer (2024-2026)
  • 2021 IET Microwaves, Antennas & Propagation Premium Award
  • IEEE MTT-S Outstanding Young Engineer Award (2013)
  • Ontario Early Researcher Award (2007)

He mentors a team of PhD and M.A.Sc. students, with alumni pursuing careers in academia, R&D, and engineering. His group has published extensively in IEEE journals, covering topics like FDTD methods, RIS-enabled communication, and machine learning for microwave engineering.