Teaching
In 2023 I received the ETH Golden Owl, the teaching award that ETH students give to their lecturers. Read the news.
227-0694-00 Game Theory and Control
Game theory is the study of strategic decision making, and was originally used to solve problems in economics. In this course, we study concepts and methods in non-cooperative game theory and show how these can be used to solve control design problems, emphasizing their possible use in control systems, robotics, and engineering applications.
Game Theory and Control webpage
227-0216-00 Computational Control
Modern control tasks in engineering are solved by embedding computational power into the plant that needs to be controlled. This course covers a number of control design tools that exploit the potential of real-time computation and digital data. These include Model Predictive Control, Data Driven Control, Reinforcement Learning, and others.
Other courses and tutorials
- Welfarist Control Theory, doctoral course with Heinrich Nax (EPFL and ETH Zurich, 2025/26)
- Data-Driven Operation of Autonomous Power Systems, EECI International Graduate School on Control, with Florian Dörfler
- Game-Theoretic Motion Planning, tutorial at ICRA 2021
M.Sc. theses and semester projects
Open proposals
You can see my open thesis proposals on Sirop.
Past theses and semester projects
Final reports are available on the ETH Research Collection.
2026
- A coalitional stable and fair reward allocation for dynamic virtual power plants Carl von Holly-Ponientzietz
- Adaptive incentive design for procuring control services under follower input constraints Lukas Schmidt-Engelbertz
2025
- Distributed robust Stackelberg game Zheyu Wu
- Inverse optimization for resource allocation in energy markets Andreas Feik
- Optimization for grid-supportive usage of batteries at grid level 6 and 7 Ramona Stoll
- Curling tactics analysis with reinforcement learning Patrick Oberlin
- Becoming ungovernable: The erosion of leadership advantage with strategically irrational followers Nikita Madonna, Dennis Hofer
- Predicting cross-border transmission capacities in the European electricity grid using different machine learning architectures Andrej Bernhard
- Suboptimality sharing in online peer-to-peer resource allocation Leon Babić
- Strategically robust Nash equilibria in the wild Andreas Feik
- CO2 karma police Luise Lenné
- PRIME: Proximal iterative markets Nicholas Behr
2024
- Robustify feedback optimization through regularization Wen Yi Chan
- Integration of dynamic security assessment into capacity expansion planning of low-inertia power grids Giulia Pejrani
- Modeling of voltage support procurement mechanisms Leo Landolt
- Data-driven time series modelling for next-gen HVAC systems Eren Öner
- Deployment of an online feedback optimization controller in a distribution grid Christian Rubin
2023
- Radial electrical grid topology reconstructions using voltage magnitude measurements Nando Waser
- Topology identification of simulated grids and the Walenstadt distribution network Marlais Lüthi
- Strategically robust game theory via optimal transport Sylvain Fricker
- Feedback optimization over networks: Decentralized and distributed approaches Wenbin Wang
- Congestion control in transmission grids via hierarchical feedback optimization Oliver Hüsser
- Competitive congestion control in transmission grids Giulia Pejrani
- Optimal wind power nomination via distributionally robust optimization Boubacar Bangoura
2022
- Game-theoretic modeling and analysis of multimodal transportation systems Christian Hartnik
2021
- Online feedback optimization for emergency power system operation Gianni Hotz
- Online feedback optimization for gas compressors Maximilian Degner
- Online feedback optimization for minimal curtailment of renewable generation with real data Jonas Matt
2020
- Karma games: A decentralized, efficient and fair resource allocation scheme Ezzat Elokda
- Non-convex feedback optimization with input and output constraints for power system applications Verena Häberle
2018
- Real-time control of power systems for voltage collapse prevention Ashwin Venkatraman
- Feedback optimisation of linear time invariant systems Sandeep Menta
- Integration of PV units in the primary and secondary control ancillary services in Switzerland Christos Konstantinopoulos
2017
- Time domain performance metrics in optimal inertia placement David Rodriguez Flores
- Optimal nonlinear frequency control in power systems Felix Böwing
- A decentralized voltage collapse distance for power distribution networks Liviu Aolaritei
- Constrained optimization over manifolds for power system application József Pázmány
- Fast chance-constrained optimization using real-time measurements with applications to power systems Elena Arcari
- Optimal placement of virtual damping and inertia Philipp Lütolf
2016
- Constrained optimization over manifolds for power system application Alessandro Zanardi
- Peer-to-peer clock synchronization in wireless sensor networks Jan Schulze
- Formation of robust networks for secure exchange of cryptocurrencies Panagiotis Kyriakis
2015
- Computational load and congestion control in cloud environments Felix Kottmann
- Energy theft detection using compressive sensing methods Dalibor Drzajic