News
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. Dr. Frauke Kreuter
Chair of Statistics and Data Science in Social Sciences and the Humanities (SODA)
Research interests: Fairness in Automated Decision Making, Data Quality, Training Data Reliability, Inference, Privacy, AI Research Infrastructure
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