Dr. Bert Kappen

Biography

Bert Kappen's research focuses on neural networks and machine learning, development of self-learning intelligent systems, and assistive technologies for locating missing persons. He explores the application of quantum technology in machine learning and conducts theoretical research at the interface of machine learning, control theory, statistical physics, computer science, computational biology, and artificial intelligence. His work includes the development of novel approximate inference methods inspired by statistical physics and he pioneered mean field analysis of stochastic neural networks with dynamical synapses, revealing states of rapid switching. Kappen has identified a novel class of non-linear stochastic control problems that can be solved using path integrals, an approach that has been adapted by leading robotics groups worldwide. His current research seeks to uncover connectivity patterns in neural circuits, and he is the author of 130 peer-reviewed articles in scientific journals and conferences. Through collaboration with medical experts, Kappen has developed a Bayesian medical expert system, co-founding the company Promedas to commercialize this system. Additionally, he is a director at SNN, a Dutch foundation known for its expertise in applying neural network and machine learning methods in collaboration with numerous industrial partners, and co-founded Smart Research BV, which provides forensic software for disaster victim identification based on DNA.

Research Interests

Experience

Awards