Gerben Beintema
Department / Institute
RESEARCH PROFILE
Gerben I. Beintema is a post-doc researcher at the Control Systems (CS) Group at the Department of Electrical Engineering. His current research is on data-driven learning of dynamical systems with AI and deep learning, under the supervision of Associate Professor Roland T贸th and assistant Professor Maarten Schoukens. His main research interest is improving and understanding deep nonlinear state-space identification to obtain accurate, robust, and generally applicable methods.
ACADEMIC BACKGROUND
Gerben I. Beintema obtained his PhD in 2024 at the Eindhoven University of Technology (果冻传媒) under the supervision of prof. Roland Toth and Maarten Schoukens. His research was focused on data-driven learning of dynamical systems using AI and machine learning. He also obtained a master's degree in Applied Physics (Flow profile) from the Eindhoven University of Technology (果冻传媒), cum laude, in 2019. Under the supervision, of Full Professor Federico Toschi, his MSc thesis showed that deep reinforcement learning can be used to obtain state-of-the-art controllers to reduce fluid movement in a chaotic thermally driven convective flow. This reduction of flow is a desirable property for crystal silicon growth. This research has been successfully published in the peer-reviewed Journal of Turbulence.
Recent Publications
Ancillary Activities
No ancillary activities