ML/AI-Driven Intelligent Feature Extraction for Next Generation Brain-Machine Interfaces

Bio:

Payam Heydari is currently the University Chancellor's Professor at the University of California, Irvine. Dr. Heydari's research covers the design of millimeter-wave, RF, and analog integrated circuits. He and his research group are the authors of two books, three book chapters, and more than 180 journal and conference papers. He is a recipient of numerous awards including five best paper awards from prestigious journals and conferences, the IEEE Microwave Theory and Technology Society Distinguished Educator award, and the IEEE Solid-State Circuits Society Innovative Education award. An IEEE Fellow, Dr. Heydari was a Distinguished Lecturer of the IEEE Solid-State Circuits Society and the IEEE Microwave Theory and Technology Society.