Professor Maryam Kamgarpour

Maryam Kamgarpour is a professor in the School of Engineering of École Polytechnique Fédérale de Lausanne. Prior to joining EPFL, she served as a faculty at the University of British Columbia and at ETH Zürich. Her research focuses on advancing fundamental understanding of multi-agent decision-making in uncertain and dynamic environments. Towards this goal, she develops algorithms for safe stochastic control and reinforcement learning, and game theory and mechanism design. Her theoretical research is driven by control challenges arising in intelligent transportation networks, robotics and power grid systems.

She holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from University of Waterloo, Canada. She has received the NASA High Potential Individual Award and the NASA Excellence in Publication Award for her work on air traffic control with NASA Ames Research Center, and the European Union Starting Grant for her work on multi-agent decision making and distributed control for power systems. She is the recipient of the 2022 IEEE Transactions on Control of Network Systems Outstanding Paper Award and the 2024 European Control Award. She is a fellow of ELLIS and an associate editor of IEEE Transactions on Automatic Control.