Symposium on AI Research at LMU

1 June 2022, 6:30 pm to 8:15 pm

Meet the eight newly appointed Bavarian AI Chairs at LMU Munich and join a panel discussion on the next generation of AI research from the different disciplinary perspectives

Image of poster reading 'CAS Research Focus: NEXT GENERATION AI'

In order to expand the research network on artificial intelligence in Bavaria, 100 new AI chairs were established across the state. The first Bavarian LMU AI chairs are Prof. Chris Donkin, Ph.D., Prof. Dr. Stefan Feuerriegel, Prof. Dr. Daniel Gruen, Prof. Dr. Eyke Hüllermeier, Prof. James Kirby, Ph.D., Prof. Dr. Gitta Kutyniok, Prof. Dr. Björn Ommer, and Prof. Dr. Barbara Plank. After a welcome address by the president of LMU, Prof. Dr. Dr. h.c. Bernd Huber, and opening remarks by the director of the Center for Advanced Studies, Prof. Dr. Christof Rapp, the newly appointed chairholders will introduce themselves and their various research approaches at this symposium. A panel moderated by Prof. Dr. Frauke Kreuter will then discuss the next generation of AI research at LMU, followed by a buffet.

The symposium is part of the CAS Research Focus "Next Generation AI".

Location: LMU, Große Aula, Geschwister-Scholl-Platz 1, 80539 Munich. The program is available here.

The event is open to the public and we kindly ask you to register by sending a quick email to

Prof. Chris Donkin, Ph.D.

Bavarian AI Chair for Cognitive Psychology

Research interests: Interested in cognitive psychology, particularly in developing and testing computational and mathematical models of cognitive processes

Prof. Dr. Stefan Feuerriegel

Institute of Artificial Intelligence (AI) in Management

Research interests: AI for Businesses, Public Organizations, and Health Management

Prof. Dr. Daniel Gruen

Bavarian AI Chair for Astrophysics, Cosmology and Artificial Intelligence

Research interests: Extragalactic Surveys, Cosmology, Gravitational Lensing Effect, Artificial Intelligence

Prof. Dr. Eyke Hüllermeier

Bavarian AI Chair for Artificial Intelligence and Machine Learning

Research interests: His research interests are centered around methods and theoretical foundations of artificial intelligence, with a specific focus on machine learning and reasoning under uncertainty

Prof. James Kirby, Ph.D.

Bavarian AI Chair of Spoken Language Processing

Research interests: Sound Change, Computational and Statistical Methods in Phonetics, Tone and Register, Language and Music, Languages of Southeast Asia

Prof. Dr. Gitta Kutyniok

Bavarian AI Chair for Mathematical Foundations of Artificial Intelligence

Research interests: Applied Harmonic Analysis, Compressed Sensing, Explainability of Deep Neural Networks, AI-Based Approaches to Imaging Science, High-Dimensional Data Science, Mathematical Foundations of Deep Learning, and Applications of AI to Life Sciences, Robotics, and Telecommunication

Prof. Dr. Björn Ommer

Bavarian AI Chair and Head Of The Machine Vision & Learning Group

Research interests: Semantic Image and Video Understanding based on (Deep) Machine Learning, Generative Approaches For Visual Synthesis, Invertible Deep Models For Explainable AI, Deep Metric and Representation Learning, Self-Supervised Learning Paradigms and their Interdisciplinary Applications in the Digital Humanities and Neuroscience

Prof. Dr. Barbara Plank

Bavarian AI Chair of AI and Computational Linguistics

Research interests: Natural language processing, machine learning, deep learning, domain adaptation, multilingual NLP, multitask learning, transfer learning, parsing, sequence tagging, opinion mining, information extraction, NLP for social media

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