- Telefon: +49 241 80 92053
I am a postdoctoral researcher at the DSME at RWTH Aachen. My research focuses on enabling provably stable and resource-efficient control of (typically wireless) cyber-physical systems. For this, I use both tools from control theory and machine learning and integrate them with communication systems. Further, I am interested in understanding how autonomous systems can automatically infer causal structure.
Before joining DSME, I studied electrical engineering at TU Dresden where I graduated in 2016. I then started as a joint PhD student with the Max Planck Institute for Intelligent Systems and KTH Stockholm and defended my thesis in 2020.
Talks and Poster Presentations
- Poster: "Distributed and event-based wireless control of cyber-physical systems," PhD School on Cyber-Physical Systems, Lucca, Italy, Jun. 2017.
- Talk: "Distributed and event-based wireless control of cyber-physical systems," Seminar at KTH Royal Institute of Technology, Stockholm, Sweden, Aug. 2017.
- Poster: "Learning to save communication," Max Planck ETH Workshop on Learning Control, Zürich, Switzerland, Feb. 2018.
- Talk: "Fast and resource-efficient control of wireless cyber-physical systems," Reglermöte (Swedish Control Conference), Stochkolm, Sweden, Jun. 2018.
- Poster: "Deep reinforcement learning for resource-aware control," Bosch Conference on Artificial Intelligence, Renningen, Germany, Nov. 2018.
- Talk: "Feedback control goes wireless," GMA Meeting, Günzburg, Germany, Mar. 2019.
- Talk: "Fast and resource-efficient control of wireless cyber-physical systems," GMA Meeting, Anif, Austria, Sep. 2019.
- Poster: "Feedback control goes wireless," Digitalize in Stockholm, Stockholm, Sweden, Nov. 2019.
- Talk: "Feedback control and causal identification for cyber-physical systems," Seminar at Uppsala University, Uppsala, Sweden, Dec. 2019.
- Talk: "Control-guided communication: Efficient resource arbitration and allocation in multi-hop wireless control systems," IEEE Conference on Decision and Control, Nice, France, Dec. 2019.
- Talk: "Wireless control of cyber-physical systems," Seminar at ETH Zurich, Zurich, Switzerland, Jan. 2021.
- Talk: "Wireless control of cyber-physical systems," GMA Meeting, Günzburg, Germany (virtual), Mar. 2021.
- Talk: "Causality in learning-based control," Research Seminar on Artificial Intelligence, RWTH Aachen University, Aachen, Germany, Sep. 2021.
- Best paper award at the ACM/IEEE International Conference on Cyber-Physical Systems 2019.
- Best demo award at the ACM/IEEE International Conference on Information Processing in Sensor Networks 2019.
- 2019 Future Award of the Ewald Marquardt foundation.
Supervised Student Projects
- Oleksandr Zlatov, "Deep reinforcement learning for resource-aware control", University of Tübingen.
- José Mario Mastrangelo, "Predictive triggering for multi-agent systems", ETH Zürich.
- Niklas Funk, "Learning event-triggered control - Leveraging hierarchical reinforcement learning algorithms to obtain resource-aware controllers", ETH Zürich.
- Erik Hörmann, "Causality for learning control", Sapienza University of Rome.
- Hannah Markgraf, "Toward safety guarantees for deep neural network controllers: Stability analysis of reinforcement learning policies", RWTH Aachen (main supervisor: Emma Pabich).
- Bhavya Sukhija, "Globally optimal safe robot learning", ETH Zürich (co-supervisor: Matteo Turchetta).
- Yannick Streicher, "Learning dynamics equations of a novel rotational inverted pendulum", University of Tübingen.
Academic Community Services
- Ombudsperson of MPI-IS Tübingen 2018 - 2021.
- Co-organization of an open invited track on "Control for Next Generation Wireless Networks" at the 2020 IFAC World Congress in Berlin, Germany (together with Konstantinos Gatsis, Karl Henrik Johansson, and Sebastian Trimpe).
- Co-organization of a competition on "Learning by Doing: Controlling a Dynamical System using Control Theory, Reinforcement Learning, or Causality" for Advances in Neural Information Processing Systems (NeurIPS) 2021 (together with Sebastian Weichwald, Niklas Pfister, Tabitha Lee, Isabelle Guyon, Søren Wengel Mogensen, Sebastian Trimpe, Oliver Kroemer, and Jonas Peters).