Artificial Intelligence in Biomedical Engineering
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. The professorships are divided as follows:
Prozesse am Menschen
Research on medical processes, for example in precision medicine or in digital medical care in the home environment Other topics include neurosensor technology, personalized therapy and digital diagnosis and therapy.
Daten, Sensoren und Geräte
Topics of human-technology interaction, for example in autonomous and intelligent data acquisition or in the integration, representation and visualization of data. Methods for bioinformatics and intelligent materials and sensor technology are also in focus.
Medical robotics – exemplified by care or surgical robots – and intelligent prosthetics are the focus of attention. The latter area becomes visible in the Wearable Robotics.
The new department will establish a new consecutive Bachelor’s/Master’s degree course Artificial Intelligence (AI). In this way, FAU is creating new high-tech study places for Bavaria and young AI talent for science, business and society.
Further information regarding the Department AIBE can be found on its website.
Machine Learning and Data Analytics
Prof. Dr. Björn Eskofier
Prof. Dr. Florian Knoll
Prof. Dr. Claudio Castellini
Image Data Exploration and Analysis
Prof. Dr. Bernhard Kainz
Prof. Dr. Tobias Reichenbach
Intelligent Sensorimotor Systems
Prof. Dr.-Ing. Thomas Seel
Biomedical Network Science
Prof. Dr. David B. Blumenthal
Human-Centered Computing and Extended Reality
Prof. Dr. Daniel Roth
Artificial Intelligence in Communication Disorders
Prof. Dr. Andreas Kist
Neuromuscular Physiology and Neural Interfacing
Prof. Dr. Alessandro Del Vecchio
Artificial Intelligence in Medical Imaging
Leitung: Prof. Dr.-Ing. Katharina Breininger
Artificial Intelligence in Biomedical Speech Processing
Prof. Dr. Seung Hee Yang
Computational Movement Science
Prof. Dr. Anne Koelewijn