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



Uwe D. Hanebeck has been elected as president of the International Society of Information Fusion (ISIF) for the year 2023 and as vice-president for 2022. Founded in 1998, ISIF is the premier global resource for multidisciplinary approaches for theoretical and applied information fusion technologies. Its managing board of 20 directors is responsible for the annual "International Conference on Information Fusion (FUSION)" and its flagship journal "Journal of Advances in Information Fusion (JAIF)".

According to the "Stanford List", Uwe D. Hanebeck is among the 2 per cent most widely cited scientists worldwide

Stanford University has recently published an update of the list of the top 2 percent most widely cited scientists in different disciplines, the World's Top 2 percent Scientists. This ranking, considered the most prestigious worldwide, is based on bibliometric information contained in the Scopus database and provides standardized information on citations, h-index, and more. Scopus is the largest abstract and citation data base for peer-reviewed literature by Elsevier publishing. In August 2021, the "Stanford List" contains about 190,000 researchers of the more than 8 million scientists considered to be active worldwide. The list contains 9434 active scientist in Germany. More information is available at https://doi.org/10.17632/btchxktzyw.3.

Promotion Kailai Li

Kailai Li successfully defended his Ph.D. dissertation "On-Manifold Recursive Bayesian Estimation for Directional Domains" with distinction (summa cum laude). The thesis has been co-advised and co-examined by Prof. Fredrik Gustafsson, Linköping, Sweden.

News Prossel

Dominik Prossel joins the ISAS lab.


Benjamin Siebler receive the ION-GNSS+ 2021 Best Presentation of Session Award for the paper Evaluation of Simultaneous Localization and Calibration of a Train Mounted Magnetometer.

Certificate (PDF)

Our project proposal "Gaussian Process Modeling on Directional Manifolds for Data-Driven Estimation of Rigid Body Motion" has been accepted by Deutsche Forschungsgemeinschaft (DFG) with a funding of 36 PM.