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, Daniel Frisch and Uwe D. Hanebeck received the Student Paper Award, Third Place of the "2024 IEEE International Conference on Multisensor Fusion and Integration (MFI), Pilsen, Czechia" for the paper Inverse Gaussian Process Onterpolation for High-Quality Assumed Gaussian Filtering.
Certificate (PDF)
Daniel Frisch successfully defended his Ph.D. dissertation "Transformable Deterministic Sampling". The thesis has been co-advised and co-examined by Prof. Simon Maskell, University of Liverpool, UK.
Daniel Frisch and Uwe D. Hanebeck received the Best Student Paper Award, First Runner-Up of the "2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), Bonn, Germany" for the paper Deterministic Von Mises-Fisher Sampling on the Sphere Using Fibonacci Lattices.
Certificate (PDF)
Markus Walker, Marcel Reith-Braun, Peter Schichtel, Mirko Knaak and Uwe D. Hanebeck received the Best Paper Award of the "2023 IEEE Symposium Sensor Data Fusion and International Conference on Multisensor Fusion and Integration (SDF-MFI), Bonn, Germany" for the paper Identifying Trust Regions of Bayesian Neural Networks.
Certificate (PDF)