Paul Brunzema

Paul Brunzema is a PhD student at the Institute for Data Science in Mechanical Engineering (DSME) at RWTH Aachen University, working under the supervision of Prof. Dr. Sebastian Trimpe since March 2022. He is also an associate doctoral researcher at the UnRAVeL Research Training Group funded by the DFG since September 2023.

His research focuses on event-triggered learning and Bayesian optimization for control systems, with particular interest in time-varying environments and uncertainty quantification. He has developed novel approaches for detecting changes in system dynamics with probabilistic guarantees, enabling more efficient resource usage in learning-based control systems.

His recent publications reveal a clear research trajectory centered on enhancing Bayesian optimization techniques for complex control problems, particularly through variational methods and event-triggered frameworks that improve efficiency and adaptability. His work bridges theoretical advances with practical applications in robotics and control systems.

• Germany Scholarship
• MathWorks Fellowship
• RWTH Aachen University Dean's List
• SEW-EURODRIVE Student Award

Brunzema actively advises Master's and Bachelor's students on topics related to machine learning for control systems and has contributed to educational initiatives including a Massive Open Online Course (MOOC) in Reinforcement Learning. His research has practical applications in robotics, particularly in quadcopter control and safe learning systems, with collaborations extending to Mitsubishi Electric Research Laboratories and participation in international summer schools.