Note: This content is accessible to all versions of every browser. However, this browser does not seem to support current Web standards, preventing the display of our site's design details.

  

That's me!

Maryam Kamgarpour
Prof. Dr., Professor


Automatic Control Laboratory
Swiss Federal Institute of Technology
Physikstrasse 3, ETL I 24.2
8092 Zurich

Phone: +41 44 632 7042
Fax: +41 44 632 1211
Email: mkamgar@control.ee.ethz.ch

Research

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

Selected recent works:

T. Tatarenko and M. Kamgarpour, Learning Generalized Nash Equilibria in a Class of Convex Games, IEEE Transactions on Automatic Control, accepted, 2018

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, 2018, under review

L. Furieri and M. Kamgarpour, The Value of Communication in Synthesizing Controllers given an Information Structure, 2018, under review

Projects:

Formal methods and control: I have been working on stochastic hybrid systems as a framework to capture specifications defined by formal languages, such as temporal logic, for uncertain dynamical systems. My vision is to develop provably safe feedback control policies that can adapt to an underspecified changing environment to achieve complex tasks. The tools I use include online learning and data-driven robust control synthesis. The applications I address include autonomous driving and search and rescue missions. Currently, I have an SNSF project on this topic and am looking for suitable doctoral students.

Power grid system: My goal is to develop advanced optimisation and control algorithms to help in achieving a stable and secure electrical power grid despite increased uncertainties from the renewable energy sources and the liberalised electricity markets. To this end, I develop distributed control and game theory to analyse and optimise multi-player decision making in uncertain environments. I currently lead an ERC project on this topic.

Air traffic system: My focus is on developing scalable optimal control algorithms for safe and fuel-efficient aircraft trajectory synthesis, taking into account environmental uncertainties. I use meteorological forecast data on storms and winds to determine safe airspace regions and to optimise aircraft trajectories accordingly. A challenging aspect of this control problem is ensuring the developed algorithms are compatible with air traffic procedures so that they have high levels of human trust and acceptance. To address this issue, I develop my models and analysis in collaboration with air traffic controllers.

  • Publications
  • Students

    PhD applicants: I welcome applications from students with a strong background and interest in mathematics and control theory. If you are interested in a PhD position, please contact me with your undergraduate and M.S. transcripts, CV, a brief statement of your research interests and goals, and contact information of three references.

    Semester and Masters' students: The following is a list of ongoing Semester and Masters' projects. You are also welcome to contact me if you have your own ideas within the context of my research. Please make sure to include your transcript and CV when applying for a project.

  • Student Projects

    Teaching

    I currently teach two Master's level courses: Linear System Theory and Game Theory. Other courses I have taught are: Hybrid Systems (UC Berkeley, Electrical Engineering), Nonlinear Control (UC Berkeley , Mechanical and Electrical Engineering), Intermediate Dynamics (UC Berkeley Mechanical Engineering), Calculus II (UC Berkeley, Mathematics).

  • Lectures
  • Personal

    In addition to control systems, 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. I am always happy to discuss these issues with people who share the same vision.

    Brief Bio

    Maryam Kamgarpour is an assistant professor at ETH Zurich, Automatic Control Laboratory. She obtained her Doctor of Philosophy in Engineering from University of California, Berkeley (2011) and her Bachelor of Applied Science from University of Waterloo, Canada (2005). Her research is on multi-agent decision making and control, game theory, hybrid systems and stochastic systems with applications in intelligent transportation networks, robotics and power grid systems. She is the recipient of NASA High Potential Individual Award, NASA Excellence in Publication Award (2010) and the European Union (ERC) Starting Grant 2015. Here is a more detailed CV.