Mission Statement
- ISAS has been founded in 2003 and is headed by Prof. Uwe D. Hanebeck
- Our mission is to advance the state-of-the-art in machine learning under uncertanties
- We are dedicated to research-oriented teaching and offer a wide variety of courses
- Topics: Distributed/decentralized data and information fusion, nonlinear state estimation, system modeling & identification, model predictive control
- Applications: Localization, robotics, telepresence systems, virtual/mixed reality, aircraft surveillance, industrial sorting, predictive maintenance and anomaly detection
Jiachen Zhou and Uwe D. Hanebeck received the Tammy L. Blair Best Student Paper Award at the "28th International Conference on Information Fusion (Fusion 2025) in Rio de Janeiro, Brazil" for the paper High-Quality Assumed Gaussian Filtering Based on Wasserstein Barycentric Interpolation.
Michael Fennel successfully defended his Ph.D. dissertation "Toward Highly Immersive Telepresence: A Very-Large-Scale Encountered-Type Haptic Display" with distinction (summa cum laude). The thesis has been co-advised and co-examined by Prof. Dr. Katherine J. Kuchenbecker, Max Planck Institute for Intelligent Systems, Stuttgart, Germany.
Visit of Prof. Ondřej Straka, University of West Bohemia in Pilsen, Plzeň, Czech Republic for joint research on data-driven Bayesian estimation.
Markus Walker, Philipp Bien and Uwe D. Hanebeck received the Best Paper Award 2nd Place of the "16th SDF Symosium, Bonn, Germany" for the paper Voronoi Trust Regions for Local Calibration Testing in Supervised Machine Learning Models.
Certificate (PDF)