AI Foundations play a crucial role in underpinning the broader AI initiatives across the university. This cluster is dedicated to the exploration and advancement of the core theoretical and mathematical aspects of artificial intelligence. The research conducted here is not only academic in nature but also serves as the backbone for practical AI applications in various domains.
Machine Learning / Pattern Recognition
Prof. Dr. Vasileios Belagiannis
Chair of Multimedia Communications and Signal Processing
Dr.-Ing. Vincent Christlein
Pattern Recognition Lab
Prof. Dr. Laura Cottatellucci
Chair of Digital Communications
Prof. Dr. Bernhard Egger
Cognitive Computer Vision
Prof. Dr. Stefan Funk
Chair of Physics and Erlangen Centre for Astroparticle Physics (ECAP)
Prof. Dr. Andreas Harth
Chair of Technical Information Systems
Prof. Dr. Bernhard Kainz
Image Data Exploration an Analysis
Prof. Dr. Andreas M. Kist
Artificial Intelligence in Communication Disorders
Prof. Dr. Andreas Maier
Chair of Pattern Recognition
Prof. Dr. Florian Marquardt
Theoretical Physics
Prof. Dr. Michael Philippsen
Chair of Programming Systems
Prof. Dr. Michael Schmiedeberg
Institute of Theoretical Physics I
Prof. Dr.-Ing. Robert Schober
Institute for Digital Communications
Prof. Dr.-Ing. Marc Stamminger
Chair of Computer Science 9 (Computer Graphics)
Prof. Dr.-Ing. Martin Vossiek
Chair of Microwave Technology
Cooperations:
Logics / Knowledge Representation
Prof. Dr. Michael Kohlhase
Chair of Knowledge Representation/Processing
Prof. Dr. Lutz Schröder
Chair of Computer Science 8 (Theoretical Computer Science)
Mathematical Foundations
Prof. Dr. Frauke Liers
Optimization under Uncertainty & Data Analysis
Prof. Dr. Enrique Zuazua
Chair of Dynamics, Control, Machine Learning and Numerics