IEEE Geoscience and Remote Sensing Magazine · 2023
Cited
4
Resume (English only)
Academic Achievements
- Deep Learning and Earth Observation to Support the Sustainable Development Goals: Current Approaches, Open Challenges, and Future Opportunities (GRSM 2022)
- Colorful Trees: Visualizing Random Forests for Analysis and Interpretation (WACV 2019)
- Classification of PolSAR Images by Stacked Random Forests (ISPRS International Journal of Geo-Information)
- Skipping the real world: Classification of PolSAR images without explicit feature extraction (ISPRS Journal of Photogrammetry and Remote Sensing, in press)
Research Experience
- Lead of the "Machine Learning" team in the Department SAR Technology at the German Aerospace Center (DLR)
- Started as Editor in Chief of the IEEE GRS Letters on January 1, 2024
- Gave a tutorial on "Introduction to Machine Learning" at IGARSS 2024 in July 2024
- Co-chaired a successful EarthVision Workshop at CVPR 2024 in June 2024
- Elected to chair the German IEEE GRSS Chapter in May 2024
- Gave a tutorial on "Machine Learning for SAR Analysis - From fully- to self-supervised deep learning" at EuSAR 2024 in April 2024
- Gave a keynote on "The Remote Sensing of Floods" at M2GARSS 2024 in April 2024
- Joined an interesting panel discussion at the "Machine Learning and Data Management for Earth Observation” workshop in Berlin, Germany in March 2024
Background
- Machine Learning (Deep Learning, Random Forests)