Wouter Kouw

Wouter Kouw is an Assistant Professor at the Electrical Engineering department of Eindhoven University of Technology (TU/e), leading the Bayesian Intelligent Autonomous Systems lab. With a dual PhD in Computer Science (2018, TU Delft) and MSc in Neuroscience (2013, Maastricht University), he bridges neurobiology and artificial intelligence through variational Bayesian inference and active inference frameworks.

• Research Focus: Probabilistic machine learning systems using message passing algorithms on factor graphs, applied to mobile robotics and adaptive control
• Key Projects: CONTACT-AI (contact-rich robot navigation), FEP-walker (active inference-based locomotion), and BayesBrain (hybrid neuro-in-silico computing)

His work spans nonlinear system identification, uncertainty quantification, and sensor modeling, with recent publications in IEEE Transactions, Entropy, and Communications in Computer and Information Science. Awards include the Niels Stensen Fellowship (2017) and TU/e Team Science Award nomination (2023). Collaborations extend to institutions in Germany, USA, and Denmark, with teaching responsibilities in Bayesian Machine Learning and Neuro Computation.