Benjamin Risse

Prof. Dr. Benjamin Risse leads the Computer Vision and Machine Learning Systems (CVMLS) group at the Institute of Geoinformatics, University of Münster. His interdisciplinary research bridges biomedical image analysis, machine learning, and virtual reality (VR) applications for medical education.

• Develops FIMTrack for high-throughput analysis of animal locomotion
• Focuses on VR-based medical training systems (e.g., brain death diagnostics)
• Pioneers deep learning in acute myeloid leukemia (AML) diagnosis and neuroscience-inspired AI

Research Interests: Biomedical image analysis, tracking algorithms, behavioral quantification, machine learning for biological systems, VR in clinical education, and interdisciplinary imaging technologies. His work addresses algorithm limitations in ecology, neuroscience, and medical diagnostics.

Recent Publications (2025–2024) span coherent nanophotonic networks, VR-based medical training, and Gaussian splatting for occupancy estimation, reflecting trends in AI-driven biomedical systems and cross-disciplinary innovation.

Scientific Awards:

• Teaching Prize of the University of Münster (2021)
• Lehrpreis des Fachbereichs Mathematik/Informatik (2021)
• AI Starter Grant on neuroscience-inspired deep learning (2022)

Advising & Grants: Mentors PhD students in AI applications for 3D printing, insect monitoring, and medical education. Holds grants from BMBF, DFG, and Else Kröner-Fresenius Foundation for projects like medical tr.AI.ning and inFlame Medical Scientists College.

Labs & Collaborations: Part of the Cells in Motion graduate program and Health-AI Network. Develops FIM imaging systems for Drosophila studies and insect camera traps with the Institute for Landscape Ecology. Collaborates with University Hospital Münster on AI diagnostics.