Dr. Nils Jansen

Biography

Nils Jansen is a professor in Software Science at Radboud University, where he leads the Chair in Safe Dependable Artificial Intelligence. His research primarily focuses on foundational application-driven research within the field of artificial intelligence (AI). He adopts a broad stance towards AI, integrating various areas such as machine learning and formal methods, especially in formal verification. His work tackles challenges inspired by autonomous systems and industrial projects, notably planning problems in robotics. He utilizes methods that include deep machine learning techniques, employing recurrent graph neural networks, and addresses problems that are partially observable through Markov decision processes (POMDPs) in a data-driven context. His key research objectives are to increase the dependability of AI in safety-critical environments, enhance the robustness of AI models under uncertain knowledge conditions, and improve verification capabilities for real-world applications through learning techniques. Jansen is particularly interested in the dependability and safety of AI, intelligent decision-making under uncertainty, and safe reinforcement learning, with a focus on understanding the epistemic and aleatoric uncertainties that occur in AI systems operating in the real world.

Research Interests