I joined the Max Planck Institute in 2017 to do a PhD on control of cyber-physical systems. After obtaining my PhD in 2020 in collaboration with KTH Stockholm, I moved on to RWTH Aachen University, where my up to date profile can be found. My current research focuses on enabling provably stable and resource-efficient control of systems that are connected over (typically wireless) communication networks. As for systems that are meant to act autonomously in the real world foreseeing all possible situations they may face already at design time is not possible, I also investigate how we can leverage machine learning techniques to enhance their flexibility.

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: "Wireles 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.

Awards

• 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.
• Future award of the Ewald Marquardt Foundation 2019.

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.

Services

• Ombudsperson of MPI-IS Tübingen since summer 2018.
• 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).