That's me!

Maryam Kamgarpour
Assistant Professor

Automatic Control Laboratory
Swiss Federal Institute of Technology
Physikstrasse 3, ETL I 24.2
CH-8092 Zürich

Phone: +41 44 632 7042
Fax: +41 44 632 1211
Email: maryamk@ethz.ch

Applicants

From January 2020, I will transition to the Electrical and Computer Engineering Department of the University of British Columbia in Vancouver, Canada. I welcome M.Sc. and Ph.D. applications from students with a strong background in mathematics (analysis, algebra, probability). I suggest you read some of my research papers to see whether the topics fit your background and motivations. If you are interested, please apply to UBC ECE graduate program.

Research

My vision is to advance fundamental understanding of multi-agent decision-making in uncertain and dynamic environments. Towards this vision, I develop game theory, distributed control, stochastic and data-driven control. I address applications ranging from air traffic control and rescue/disaster response robotics to power grid systems. The following presentation summarises my research. ETH Inaugural Lecture, May 10, 2017.

Selected recent publications:

I. Usmanova, A. Krause and M. Kamgarpour, Safe convex learning under uncertain constraints, AISTATS - International Conference on Artificial Intelligence and Statistics, Naha, Okinawa, Japan, 2019, to appear

T. Tatarenko and M. Kamgarpour, Learning Generalized Nash Equilibria in a Class of Convex Games, IEEE Transactions on Automatic Control, 2019, to appear

P. G. Sessa, D. Frick, T. A. Wood and M. Kamgarpour, From Uncertainty Data to Robust Policies for Temporal Logic Planning, Hybrid Systems: Computation and Control, ACM Lecture Notes in Computer Science, to appear, 2018

O. Karaca, P. G. Sessa, N. Walton and M. Kamgarpour, Designing Coalition-Proof Mechanisms for Auctions over Continuous Goods, IEEE Transactions on Automatic Control, 2019, to appear

L. Furieri and M. Kamgarpour, Unified Approach to Convex Robust Distributed Control given Arbitrary Information Structures, IEEE Transactions on Automatic Control, 2019, to appear

Teaching

At ETH I taught two Master's level courses: Linear System Theory and Game Theory. At UC Berkeley I helped in teaching the following courses: Hybrid Systems (Electrical Engineering), Nonlinear Control (Electrical Engineering and Mechanical Engineering), Intermediate Dynamics (Mechanical Engineering), Calculus II (Mathematics).

Students

Current PhD students: Orcun Karaca, Luca Furieri, Ilnura Usmanova, Pier Giuseppe Sessa, Yimeng Lu

Personal

In addition to my research, I am passionate about enabling equal education and life opportunities for all people. In the past I worked with YWCA to teach engineering to elementary school girls and with Engineers without Border to raise awareness on engineering solutions for the developing world. I support Skateistan in memory of my dear friend Floraine Berthouzoz, to empower girls through sports.

Brief Bio

Maryam Kamgarpour is an assistant professor at ETH Zurich, Automatic Control Laboratory. 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. Her research is on multi-agent decision-making and control, game theory, mixed integer and stochastic optimization and control. Her theoretical research is driven by control challenges arising in intelligent transportation networks, robotics and power grid systems. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award, and the European Union (ERC) Starting Grant. Here is a more detailed CV.