Scholar
Koen Minartz
Google Scholar ID: QsRqn94AAAAJ
PhD candidate at Eindhoven University of Technology
Citations & Impact
Citations
52
H-index
5
i10-index
1
Publications
13
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including works in ICML 2025, Nature Scientific Reports, NeurIPS-D3S3, and other conferences and journals. Research covers neural network-driven simulation of cellular Potts dynamics, generative models for crowd dynamics, probabilistic simulation of crystal growth, and more. Also received several best master's thesis awards.
Research Experience
- Works in the Machine Learning for Physical Sciences group at Eindhoven University of Technology, focusing on developing generative models for stochastic simulation, nuclear fusion, cell migration, and crowd dynamics.
Education
- Master's degree in Computer Science from Eindhoven University of Technology. His master's thesis was awarded the best MSc. thesis in Computer Science of the Netherlands by KHMW.
Background
- Machine Learning researcher and PhD candidate at Eindhoven University of Technology. His recent work focuses on developing generative machine learning models for time-evolving data, applied to various scientific and engineering problems. He is broadly interested in a diverse range of topics and enjoys working with people from all kinds of backgrounds.
Miscellany
- Feel free to reach out via email for discussions or potential collaborations.
