Registration Link:

https://events.vtools.ieee.org/event/register/501586

📅 Date & Time: Tuesday, September 30 at 11:00 AM
📍 Location: University of Waterloo, EIT 3142

Event Available Online/In-Person

Summary:

Dr. Sarris will present recent advances in applying scientific machine learning (SciML) to computational electromagnetics. He will discuss Physics-Informed Neural Networks (PINNs) for multi-physics time-domain modeling, which eliminate the need for large simulation datasets and enable faster, stable solutions for coupled electromagnetic–thermal problems and metasurface modeling. The lecture will also highlight the use of convolutional neural networks (CNNs) to quickly generate radio-wave propagation maps from indoor geometries, with emphasis on generalization to unseen environments.

Speaker Bio:

Dr. Costas Sarris is Professor of Electrical & Computer Engineering at the University of Toronto, IEEE Fellow, and AP-S Distinguished Lecturer (2024–2026). His research covers computational electromagnetics, wireless propagation, and SciML. He has received numerous awards, including the IEEE MTT-S Outstanding Young Engineer Award and the IET Premium Award.

Organizers: IEEE KW MTT-S SBC, IEEE KW AP-S SBC
Co-Organizers: IEEE KW Joint AP-S & MTT-S Chapter, Sensors Council Chapter, Young Professionals