Research Areas

The Department Artificial Intelligence in Biomedical Engineering (AIBE) was established as part of the Hightech Agenda Bayern. The traditional chair structure has been abandoned in order to maximize internal exchange and cooperation. Artificial Intelligence research at AIBE is centered around the study and development of intelligent systems in medicine. Our research focuses on theoretical foundations as well as applications for future healthcare. AIBE’s researchers possess a robust foundation not just in artificial intelligence, machine learning, computer science, and data science, but also in applying these concepts to biomedical engineering.

Biomedical Imaging and Sensing

Our research is dedicated to improving the effectiveness and reducing side effects of medical imaging and sensing technologies. We develop novel diagnostic biomarkers, imaging methodologies, and automated image analysis techniques for early detection of disease and optimal treatment.

Andreas Kist

Artificial Intelligence in Communication Disorders

Bernhard Kainz

Image Data Exploration and Analysis

Florian Knoll

Computational Imaging

Katharina Breininger

Artificial Intelligence in Medical Imaging

Tobias Reichenbach

Sensory Neuroengineering

Health Data Science

We advance methodological knowledge in the fields of biostatistics, epidemiology, public health, disease phenotyping, medical informatics, and bioinformatics. Our aim is to contribute novel insights from observational health data to provide clinically actionable information for individual patients and to inform health policy on population level.

Bjoern Eskofier

Machine Learning and Data Analytics

David B. Blumenthal

Biomedical Network Science

Seung Hee Yang

Artificial Intelligence in Biomedical Speech Processing

Medical Robotics

AIBE is active in all major areas of Medical Robotics, in particular in prosthetics, surgical robotics, rehabilitation robotics and virtual reality for gamification and rehabilitation. We also specifically focus on AI-based co-adaptation of users and devices, and AI-driven human-machine interaction.

Alessandro Del Vecchio

Neuromuscular Physiology and Neural Interfacing

Claudio Castellini

Assistive Intelligent Robotics

Franziska Mathis-Ullrich

Surgical Planning and Robotic Cognition (SPARC)