معرفی
Dominik Baumann is an Assistant Professor at Aalto University's Department of Electrical Engineering and Automation since 2023. His research focuses on systems and control theory, machine learning, and cyber-physical systems, with an emphasis on safety, optimization, and robotics applications.
His work addresses challenges in reinforcement learning, distributed control, and safe exploration strategies. Notable contributions include methods for non-ergodic reward systems, lightweight safe learning algorithms, and scalable optimization for dynamical systems. He is affiliated with the Cyber-physical Systems research group at Aalto.
Awards include the 2019 Future Award from the Ewald Marquardt Foundation and multiple conference best paper/demonstration awards. His publications span journals like IEEE Transactions on Automatic Control and venues such as the International Conference on Cyber-Physical Systems.
Research themes include:
- Safe learning and control for robotics
- Optimization under computational/resource constraints
- Ergodicity principles in reinforcement learning
- Event-triggered communication strategies
