MechE Seminar: Decision-Making in Uncertain, Dynamic, and Interactive Systems
Event details
| Date | 01.05.2025 |
| Hour | 13:00 › 14:00 |
| Speaker | Prof. Maryam Kamgarpour, Systems Control And Multiagent Optimization Research (SYCAMORE), Institute of Mechanical Engineering (IGM), School of Engineering (STI), EPFL |
| Location | Online |
| Category | Conferences - Seminars |
| Event Language | English |
Abstract: Modern control applications increasingly involve decision-making in complex, interactive environments — such as intelligent transportation systems, smart power grids, and assistive robotics. To enable reliable automation in these domains, it is crucial to account for uncertainties arising from model complexity and subsystem interactions. These challenges lie at the intersection of control, learning theory, and game theory.
In this talk, I will spotlight recent advances in stochastic control, reinforcement learning, and multi-agent control that address these issues. I will present our technical contributions toward learning safe controllers and computing equilibria in multi-agent settings. The talk will showcase showcase examples of applying the developed theory to the real world and conclude by highlighting open research challenges.
Biography: Maryam Kamgarpour is a professor in the School of Engineering, Department of Mechanical Engineering at École Polytechnique Fédérale de Lausanne (EPFL). Prior to joining EPFL, she held faculty positions at the University of British Columbia and ETH Zürich. She received her PhD in Engineering from the University of California, Berkeley, and her BASc from the University of Waterloo, Canada.
Her research focuses on stochastic and multi-agent learning and control, driven by autonomy challenges in intelligent transportation systems, robotics, and power grids. She was awarded the European Union Starting Grant (2016-2021) for advancing control and game theory methods to integrate renewable energy into power systems.
Her contributions have been recognized with awards, including the NASA Aeronautics High Potential Individual Award (2010) for her work on safe and fuel-efficient aircraft trajectory design in collaboration with NASA, and the IEEE Transactions on Control of Network Systems Outstanding Paper Award (2022). In 2024, she received the prestigious European Control Award and was elected an ELLIS Fellow. She serves as an Associate Editor for the IEEE Transactions on Automatic Control.
Maryam Kamgarpour is passionate about the mathematical foundations of autonomous systems and about mentoring students to explore and build upon these foundations.
In this talk, I will spotlight recent advances in stochastic control, reinforcement learning, and multi-agent control that address these issues. I will present our technical contributions toward learning safe controllers and computing equilibria in multi-agent settings. The talk will showcase showcase examples of applying the developed theory to the real world and conclude by highlighting open research challenges.
Biography: Maryam Kamgarpour is a professor in the School of Engineering, Department of Mechanical Engineering at École Polytechnique Fédérale de Lausanne (EPFL). Prior to joining EPFL, she held faculty positions at the University of British Columbia and ETH Zürich. She received her PhD in Engineering from the University of California, Berkeley, and her BASc from the University of Waterloo, Canada.
Her research focuses on stochastic and multi-agent learning and control, driven by autonomy challenges in intelligent transportation systems, robotics, and power grids. She was awarded the European Union Starting Grant (2016-2021) for advancing control and game theory methods to integrate renewable energy into power systems.
Her contributions have been recognized with awards, including the NASA Aeronautics High Potential Individual Award (2010) for her work on safe and fuel-efficient aircraft trajectory design in collaboration with NASA, and the IEEE Transactions on Control of Network Systems Outstanding Paper Award (2022). In 2024, she received the prestigious European Control Award and was elected an ELLIS Fellow. She serves as an Associate Editor for the IEEE Transactions on Automatic Control.
Maryam Kamgarpour is passionate about the mathematical foundations of autonomous systems and about mentoring students to explore and build upon these foundations.
Practical information
- General public
- Free