Marc Rußwurm
Scholar

Marc Rußwurm

Google Scholar ID: MfGMG9wAAAAJ
Assistant Professor Wageningen University
Time SeriesMachine LearningRemote SensingEarth observation
Citations & Impact
All-time
Citations
3,030
 
H-index
21
 
i10-index
26
 
Publications
20
 
Co-authors
83
list available
Resume (English only)
Academic Achievements
  • Published several papers, including 'SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery', 'Better, Not Just More: Data-centric machine learning for Earth observation'; Organized the second Machine Learning for Remote Sensing (ML4RS) workshop at ICLR 2024; Published a paper on meta-learning to address diverse Earth observation problems across resolutions in Nature Earth & Environment.
Research Experience
  • Assistant Professor at Wageningen University (2023 - present); Postdoctoral Researcher at École Polytechnique Fédérale de Lausanne (EPFL) (2022 - 2023); During his Ph.D., he visited the European Space Agency, the University of Oxford, Obelix Laboratory in Vannes, and Lobell Lab in Stanford.
Education
  • BSc and MSc in Geodesy and Geoinformation from Technical University of Munich (2011 - 2018); Ph.D. (Dr.-Ing.) in Remote Sensing Technology from Technical University of Munich (2018 - 2022).
Background
  • Research interests include developing modern machine learning methods for real-world remote sensing problems, such as classifying vegetation from satellite time series and detecting marine debris in the oceans. Interested in domain shifts and transfer learning problems naturally arising from geographic data.
Miscellany
  • Interests in running and cycling, history, chess; Speaks German (Native), English (Professional), French (Basic).