Maarten Schoukens

Maarten Schoukens is an Associate Professor in the Control Systems group at the Department of Electrical Engineering, Eindhoven University of Technology. He holds a PhD from Vrije Universiteit Brussel (2015) and has held postdoctoral positions at both VUB and TU/e. His research focuses on nonlinear system identification, machine learning applications in control, and data-driven modeling of complex systems. He has received prestigious awards including an ERC Starting Grant (2022) and an EU Marie Skłodowska-Curie Fellowship (2018). He leads projects like DAMOCLES (2021–2025) and CELLSYSTEMICS (2022–2026), advancing constitutive law modeling and human measurement systems. Active in editorial roles for IEEE and ECC conferences, he also co-organizes the nonlinearbenchmark.org initiative.

Education: MSc and PhD in Electrical Engineering from VUB (2010–2015). Postdoctoral Researcher at TU/e (2017–2018) before becoming Assistant Professor (2018) and later Associate Professor (2023).

Research emphasizes nonlinear dynamical systems, with contributions to system identification, neural network architectures for control, and frequency-domain methods. Key projects include developing LPV control strategies and physics-guided learning frameworks. His work bridges classical control theory with modern machine learning, addressing challenges in autonomous systems and high-tech engineering.

Awards include FWO PhD Fellowship (2011), Marie Skłodowska-Curie Fellowship (2018), and ERC Starting Grant (2022). Supervised over 15 graduate students and led multidisciplinary teams in EU-funded initiatives. Labs include the Autonomous Motion Control Lab and High Tech Systems Center, fostering collaborations in robotics, aerospace, and biomedical engineering.