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

 

News

News Promotion Daniel Frisch
19/02/2024

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.

News Jiachen Zhou
12/01/2023

Jiachen Zhou joins the ISAS lab.

MFI2023 Best Student Paper
11/29/2023

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)
MFI2023 Best Paper
11/29/2023

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)
ACC2023 Best Student Paper
06/02/2023

Eugen Ernst, Florian Pfaff, Uwe D. Hanebeck, and Marcus Baum received the Student Best Paper Award of the "2023 American Control Conference (ACC 2023), San Diego, CA, USA" for the paper The Kernel-SME Filter with Adaptive Kernel Widths for Association-free Multi-target Tracking.

 

Certificate (PDF)
01/30/2023

The paper titled "The Kernel-SME Filter with Adaptive Kernel Widths for Association-free Multi-target Tracking" by Eugen Ernst, Florian Pfaff, Uwe D. Hanebeck, and Marcus Baum is among the five finalists for the Best Student Paper Award of the 2023 American Control Conference (ACC 2023).