Mathias Hudoba de Badyn

About me

I am a postdoctoral scholar in the Automatic Control Lab at ETH Zürich working with John Lygeros and Roy Smith. Before coming here, I did my PhD in Aeronautics and Astronautics at the University of Washington with Mehran Mesbahi on distributed control theory.

I work on problems involving the control and estimation of networked dynamical systems, with an emphasis on applications related to sustainability. In particular, using algebraic graph theory, I study how the structure of the network affects the performance of distributed control, estimation, and optimization algorithms. My target domain is the coordination of smart buildings and energy hubs, and how they can be interconnected with the electric grid and other utilities to provide services to suppliers, such as demand-side management and peak shaving. I'm also interested in multi-agent systems coordination using optimal transport techniques.

In my previous life as an undergraduate student at the University of British Columbia, I worked at the Canadian Institute for Theoretical Astrophysics under the supervision of James Owen. We studied how X-ray heating contributes to the dispersal of protoplanetary discs. I also had the good fortune to work with Richard Marchand and Richard Sydora at the University of Alberta, where we worked on how to use electrodynamics space tethers for removing radiation belts around the Earth. In my final year, I did two Honours theses. I worked with Greg Martin on the Hilbert-Pólya and pair-correlation conjectures, and with Joanna Karczmarek’s string theory group studying the geometry of membranes emerging from the Berenstein-Dzienkowski Hamiltonian.

News and Updates

  • July. 15, 2022: My paper on self-tuning networks with Tyler Summers and Iman Shames was accepted to the 2023 CDC. Stay tuned for the preprint!
  • June. 15, 2022: Congratulations to my students Nicolas Pelzman and Nivethan Yogarajah for winning the ETH Medal and Willi Studer prize, respectively!
  • Feb. 1, 2022: Our paper on feedback optimization for robotic swarm coordination was accepted to the American Control Conference. Check out the preprint here!
  • Jan. 14, 2022: I'm offering a master's thesis project on game theory for smart homes. Check out the posting here!
  • Jan. 5, 2022: I'm offering a master's thesis on optimization strategies for trading stock options and other financial derivatives. Check out the posting here!
  • Jan. 4, 2022: Our paper on machine learning methods for smart buildings was accepted to Applied Energy. Check out the preprint here!
  • Dec. 20, 2021: Our paper on distributed model predictive control for networks of smart buildings and energy hubs was accepted to Energy & Buildings. Check out the preprint here!
  • Sept. 31, 2021: Check out our preprint on feedback optimization applied to distributed formation control of robots here!
  • Sept. 9, 2021: Our work on optimal transport methods for discrete time systems, and our work on feedback optimization for sampled-data systems with applications to smart buildings, was accepted to the 2021 CDC. Check out the preprints here and here!

Recent Publications

Below are some recent publications; see here for a full list.