IEEE ITSS Best Dissertation Award 2021 (second prize). Paper presented at ECCV. Another paper accepted to NeurIPS. Keynote talk at ICRA 2024 Long-term Human Motion Prediction Workshop.
Research Experience
Since September 2025: Full Professor (W3) of Machine Learning, University of Hildesheim, Head of the Intelligent Assistive Systems group. Since August 2023: Faculty member of the International Max Planck Research School for Intelligent Systems (IMPRS-IS). June 2023 – August 2025: Tenure-Track Assistant Professor – Autonomous Sensing and Perception Group, University of Stuttgart. April 2023 – May 2023: Visiting Researcher – Chair for Sustainable Transport Logistics 4.0, Johannes Kepler University Linz, Austria. April 2021 – May 2023: Postdoctoral Researcher – Lead of the Activity Recognition Group at CV:HCI.
Education
PhD from Karlsruhe Institute of Technology (April 2017 - April 2021), topic: 'Uncertainty-aware Models for Deep Learning-based Human Activity Recognition and Applications in Intelligent Vehicles.' Advisors: Prof. Dr.-Ing. Rainer Stiefelhagen (KIT, IAR) and Prof. Dr. Mohan Trivedi (University of San Diego). M.Sc. in Computer Science from Technical University Munich (2013 - 2015). B.Sc. in Computer Science from Technical University Munich (2009 - 2012). Erasmus studies at Chalmers University of Technology, Gothenburg, Sweden (2012 - 2013).
Background
Full Professor of Machine Learning at the University of Hildesheim, focusing on deep learning for data-efficient, uncertainty-aware, and adaptive visual and multimodal perception of humans. Targets impactful applications in assistive systems, autonomous driving, and robotics.
Miscellany
Interests include, but are not limited to, computer vision, artificial intelligence, and their practical applications in real life.