Maryam KamgarpourMaryam Kamgarpour holds a Doctor of Philosophy in Engineering from the University of California, Berkeley and a Bachelor of Applied Science from University of Waterloo, Canada. Her research is on safe decision-making and control under uncertainty, game theory and mechanism design, mixed integer and stochastic optimization and control. Her theoretical research is motivated by control challenges arising in intelligent transportation networks, robotics, power grid systems and healthcare. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award, and the European Union (ERC) Starting Grant.
Tony Alan WoodTony A. Wood received a B.Sc. degree in Information Technology and Electrical Engineering in 2010 and an M.Sc. degree in Robotics, Systems and Control in 2013, both from ETH Zurich, Switzerland. In 2018 he completed a Ph.D. at the Automatic Control Laboratory of ETH Zurich. From 2018 to 2021, he was a Research Fellow in the Department of Electrical and Electronic Engineering at the University of Melbourne, Australia. He is currently a Scientist in the Systems Control and Multiagent Optimization Research Group (Sycamore) at École Polytechnique Fédérale de Lausanne (EPFL), Switzerland. His research interests lie in the fields of optimisation and automatic control with a particular focus on multi-agent systems. The specific topics he investigates include system identification, task allocation, path planning, model predictive control, delay compensation, and formal specification satisfaction for uncertain systems encountered in applications such as energy systems, smart buildings, biology, and robotics.
Anna Maria MadduxAnna M. Maddux holds a Bachelor's of Science in Mathematics and in Economics, both from the Albert-Ludwigs-University of Freiburg, as well as a Master's of Science in Statistics from ETH Zürich. In her master's thesis at the automatic control laboratory (Ifa) at ETH she developed a data-driven technique to learn the underlying utilities driving agents' behaviour in multi-agent games. Her research interests lie in the fields of game theory, optimization with a particular focus on learning in multi-agent systems.
