Malte Schilling

Prof. Dr. Malte Schilling works at the University of Münster within the Department of Mathematics and Computer Science. His research focuses on the intersection of Artificial Intelligence, Robotics, and Neuroinformatics, with particular emphasis on Deep Reinforcement Learning and Modular AI Systems. He leads projects like Tutor.AI, a science-based learning assistant, and develops Predictive AI models for e-mobility in trucking.

His recent publications highlight innovative approaches in biomimetic robotics, including decentralized controllers for hexapod locomotion and neuroWalknet architecture for context-dependent behavior. He also contributes to graph-based learning models for traffic prediction and explainable AI through counterfactual generation. Collaborative work spans institutions and disciplines, reflecting his interdisciplinary focus.

Malte Schilling's research integrates principles from neuroscience and computational biology to enhance AI adaptivity. He applies these insights to robotic systems and real-world challenges like urban mobility prediction. His work demonstrates strong connections between theoretical computer science and practical AI implementations.