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SUMMARY:MechE Seminar: Decision-Making in Uncertain\, Dynamic\, and Intera
 ctive Systems
DTSTART:20250501T130000
DTEND:20250501T140000
DTSTAMP:20260501T020251Z
UID:a28381201e029730781af299ad76b4070fad48f9849efeaeac46a2a2
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Maryam Kamgarpour\, Systems Control And Multiagent Optim
 ization Research (SYCAMORE)\, Institute of Mechanical Engineering (IGM)\, 
 School of Engineering (STI)\, EPFL\nAbstract: 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 su
 bsystem interactions. These challenges lie at the intersection of control\
 , learning theory\, and game theory.\n\nIn this talk\, I will spotlight re
 cent advances in stochastic control\, reinforcement learning\, and multi-a
 gent control that address these issues. I will present our technical contr
 ibutions toward learning safe controllers and computing equilibria in mult
 i-agent settings. The talk will showcase showcase examples of applying the
  developed theory to the real world and conclude by highlighting open rese
 arch challenges.\n\nBiography: Maryam Kamgarpour is a professor in the Sch
 ool of Engineering\, Department of Mechanical Engineering at École Polyte
 chnique Fédérale de Lausanne (EPFL). Prior to joining EPFL\, she held fa
 culty positions at the University of British Columbia and ETH Zürich. She
  received her PhD in Engineering from the University of California\, Berke
 ley\, and her BASc from the University of Waterloo\, Canada.\n\nHer resear
 ch 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 ene
 rgy into power systems.\n\nHer contributions have been recognized with awa
 rds\, including the NASA Aeronautics High Potential Individual Award (2010
 ) for her work on safe and fuel-efficient aircraft trajectory design in co
 llaboration with NASA\, and the IEEE Transactions on Control of Network Sy
 stems Outstanding Paper Award (2022). In 2024\, she received the prestigio
 us European Control Award and was elected an ELLIS Fellow. She serves as a
 n Associate Editor for the IEEE Transactions on Automatic Control. \n\nMar
 yam Kamgarpour is passionate about the mathematical foundations of autonom
 ous systems and about mentoring students to explore and build upon these f
 oundations.\n 
LOCATION:CM 1 5 https://plan.epfl.ch/?room==CM%201%205 https://epfl.zoom.u
 s/j/62588102265
STATUS:CONFIRMED
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