Martin Werner
Scholar

Martin Werner

Google Scholar ID: 6YtUxCEAAAAJ
Professorship for Big Geospatial Data Management, TU München
GeoAIBig DataTrajectory ComputingLocation-based ServicesData Science
Citations & Impact
All-time
Citations
1,945
 
H-index
17
 
i10-index
29
 
Publications
20
 
Co-authors
106
list available
Resume (English only)
Academic Achievements
  • - Participated in the AI4Soil workshop discussing opportunities of AI in soil science.
  • - Presented on Quantum Machine Learning at IEEE Quantum Week.
  • - Showcased Multimodal Image Geolocalization at IGARRS 2025.
Research Experience
  • - Research areas include distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing (HPC), and applications of quantum computers.
  • - Current research interests cover Spatial Data Science, Spatial Machine Learning, Big Data, HPC, Social Network Analysis, Context-Aware Systems/Ubiquitous Computing, Time Series and Trajectories, Indoor Navigation.
Background
  • Focuses on research in the field of Big Geospatial Data Management, including data capture, organization, compression, analysis, and visualization.
Miscellany
  • Contact Email: martin.werner@tum.de
  • Address: Lise-Meitner-Str. 9, 85521 Ottobrunn