Dominik Baumann

Dominik Baumann

Assistant Professor
Assistant Professor
T410 Dept. Electrical Engineering and Automation

Dominik Baumann is an Assistant Professor at Aalto University since 2023. His research interests revolve around systems and control theory, machine learning, and communication networks.

Full researcher profile
https://research.aalto.fi/...
Phone number
+358504773899

Areas of expertise

213 Electronic, automation and communications engineering, electronics, Automation and systems technology

Honors and awards

Future Award

2019 Future Award of the Ewald Marquardt Foundation
Award or honor granted for a specific work Department of Electrical Engineering and Automation Jan 2019

Best Demo Award

Best Demo Award at the 2019 ACM/IEEE International Conference on Information Processing in Sensor Networks
Award or honor granted for a specific work Department of Electrical Engineering and Automation Jan 2019

Best Paper Award

Best Paper Award at the 2019 ACM/IEEE International Conference on Cyber-Physical Systems
Award or honor granted for a specific work Department of Electrical Engineering and Automation Jan 2019

Research groups

  • Cyber-physical Systems

Publications

A computationally lightweight safe learning algorithm

Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels, Paweł Wachel 2024 2023 62nd IEEE Conference on Decision and Control, CDC 2023

Safe reinforcement learning in uncertain contexts

Dominik Baumann, Thomas B. Schön 2024 IEEE Transactions on Robotics

PACSBO: Probably approximately correct safe Bayesian optimization

Abdullah Tokmak, Thomas B. Schön, Dominik Baumann 2024 LECTURE NOTES IN CONTROL AND INFORMATION SCIENCES

On the trade-off between event-based and periodic state estimation under bandwidth constraints

Dominik Baumann, Thomas B. Schön 2023 Proceedings of the IFAC World Congress

Reply to “The Limitations of Growth-Optimal Approaches to Decision Making Under Uncertainty”

Oliver Hulme, Arne Vanhoyweghen, Colm Connaughton, Ole Peters, Simon Steinkamp, Alexander Adamou, Dominik Baumann, Vincent Ginis, Bert Verbruggen, James Price, Benjamin Skjold 2023 Econ Journal Watch

Toward Multi-Agent Reinforcement Learning for Distributed Event-Triggered Control

Lukas Kesper, Sebastian Trimpe, Dominik Baumann 2023 Proceedings of the Learning for Dynamics and Control Conference

GoSafeOpt: Scalable Safe Exploration for Global Optimization of Dynamical Systems

Bhavya Sukhija, Matteo Turchetta, David Lindner, Andreas Krause, Sebastian Trimpe, Dominik Baumann 2023 Artificial Intelligence

Identifying Causal Structure in Dynamical Systems

Dominik Baumann, Friedrich Solowjow, Karl H. Johansson, Sebastian Trimpe 2022 Transactions on Machine Learning Research

Towards remote fault detection by analyzing communication priorities

Alexander Gräfe, Dominik Baumann, Sebastian Trimpe 2022 IEEE Conference on Decision and Control