Martin Werner

Prof. Martin Werner is a Professor of Big Geospatial Data Management at the Technische Universität München (TUM), within the TUM School of Engineering and Design. His research focuses on distributed computing, machine learning, quantum algorithms, and geospatial data analysis. He holds a doctorate in mathematics from Ludwig Maximilian University of Munich and has held positions at institutions including the German Aerospace Center and Bundeswehr University Munich.

Education: Studied mathematics at the University of Bonn (B.Sc./M.Sc.), completed a Ph.D. at Ludwig Maximilian University of Munich (2014) on indoor navigation and geometric applications. Postdoctoral and senior researcher roles at LMU Munich, University of Hanover, and others.

Research interests include geospatial data processing, parallel computing, and quantum computing applications. Notable work includes the GloBiMaps probabilistic data structure and contributions to trajectory analysis and anomaly detection in industrial systems. Awards include the ACM SIGSPATIAL GIS Cup (2015) and IPIN Best Paper Award (2014).

Advising and grants: Supervised research in geospatial AI, quantum computing, and environmental monitoring. Collaborates with interdisciplinary centers like the Interdisciplinary Center for Applied Machine Learning (ICAML).

Labs/Teams: Involved in the ICAML and leads projects such as the AtlasHDF framework and FOREST-2 mission collaborations.