Maryam Kamgarpour

Maryam Kamgarpour is an associate 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. She holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from the University of Waterloo, Canada. Her research focuses on developing theory and algorithms for control and learning in stochastic and multi-agent systems, as well as inverse control and learning, and mechanism design. These theoretical directions are motivated by control challenges in intelligent transportation systems, robotics, and power grid applications.She has been awarded the European Union Consolidator Grant (2026-2031), the 2024 European Control Award, the European Union Starting Grant (2016-2021), an IEEE Transactions on Control of Network Systems Outstanding Paper  (2022), NASA High Potential Individual Award (2010) and NASA Excellence in Publication Award (2010). She is an ELLIS Fellow and an associate editor for IEEE Transactions on Automatic Control. Teaching & PhD PhD Students Giulio Salizzoni, Tingting Ni, Saurabh Dilip Vaishampayan, Andreas Schlaginhaufen, Kai Ren, Anna Maria Maddux, Gabriel Vallat, Philip Jordan, Yasaman Zolfimoselo, Daniele De Cecco, Gregorio Valenti Past EPFL PhD Students as codirector Baiwei Guo Courses Foundations of artificial intelligence ME-390 This course provides the students with 1) a set of theoretical concepts to understand the machine learning approach; and 2) a subset of the tools to use this approach for problems arising in mechanical engineering applications. Multiagent decision-making and control ME-429 Students will be able to formulate a multi-agent decision-making problem in static and dynamic environments as a game and apply relevant mathematical theories and algorithms to analyze the interaction of the agents and predict the outcome of the decision-making problems. Awards European Control Award European Control Association 2024