My research resolves around event-triggered learning and the question how to detect changes in the system dynamics based on data and with probabilistic guarantees with the goal to only learn when necessary. My current research focusses on combining triggers with other machine learning and optimization methods such as Bayesian optimization in dynamic environments.
My other research interests are:
- Bayesian optimization
- Incorporation of prior knowledge into probabilistic dynamics models (e.g. Gaussian processes)
Since March 2022, I am a PhD student at the Institute for Data Science in Mechanical Engineering (DSME) at RWTH Aachen University under the supervision of Prof. Dr. Sebastian Trimpe. Prior to that, I completed a bachelor's degree in mechanical engineering and a subsequent master's degree in automation engineering with a focus on machine learning and control, both at the RWTH Aachen University.
- "Tutorial Control Engineering", Institute of Automatic Control, RWTH Aachen, SS19 until SS22, student teaching assistant
- "Machine Design III", Insitute of Mechanism Theory, Machine Dynamics and Robotics, RWTH Aachen, WS17/18 until SS18, student teaching assistant
On Controller Tuning with Time-Varying Bayesian Optimization, 2022
|Brunzema, Paul Jakob (Corresponding author)|
Von Rohr, Alexander (Corresponding author)
Trimpe, Johann Sebastian