Scholar
Gerben Beintema
Google Scholar ID: NlW9YVQAAAAJ
Eindhoven University of Technology
Citations & Impact
Citations
448
H-index
9
i10-index
9
Publications
20
Co-authors
0
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- He has published several papers, including one that demonstrated the use of deep reinforcement learning to achieve state-of-the-art controllers for reducing fluid movement in chaotic thermally driven convective flow, which was published in the peer-reviewed Journal of Turbulence. He has also contributed to various conference articles and abstracts.
Research Experience
- Currently, he is a post-doc researcher at the Control Systems (CS) Group within the Department of Electrical Engineering. He has been a teaching assistant for the course 'Machine Learning for Systems and Control'.
Education
- He obtained his PhD in 2024 at Eindhoven University of Technology (TU/e) under the supervision of Prof. Roland Tóth and Maarten Schoukens. He also earned a master's degree in Applied Physics (Flow profile) from TU/e, cum laude, in 2019, supervised by Full Professor Federico Toschi.
Background
- His main research interest is in data-driven learning of dynamical systems with AI and deep learning, particularly focusing on improving and understanding deep nonlinear state-space identification to obtain accurate, robust, and generally applicable methods.
Co-authors