Coordinator for metadata projects and platforms within HMC, DLR and other consortia. Interested in

• instrumentation
• lab and instrument topologies
• trans-disciplinary aggregation of large data sets (with e.g. remote sensing data)

I am interested in imaging techniques to further improve fully polarimetric synthetic aperture radar (SAR) images.

My research focus is developing Machine Learning and Computer Vision methods that are tailored towards Remote Sensing and Earth Observation. I have a special interest in Deep Learning (in particular weakly-, semi-, and self-supervised learning) and Ensemble Learning (in particular …

Astronomer by formation, skilled in Physics, Mathematics and Statistics. My research interests are divided into making infrastructure more resilient, safe and secure by means of data (optical, infrared, etc). Additionally, I am also interested in applying different machine learning techniques …

Research Engineer in Data Science. I have experience in Data processing in Computer Tomography for Material Science and medical Magnetic Resonance Imaging. I am enthusiastic about Machine Learning and Medical Engineering.

I am a PhD student working on Synthetic Aperture Radar image analysis techniques for the estimation of bio-/geophysical parameters that are characteristic of permafrost.

Project Manager of the Global Seagrass Watch, developing and commercializing calable coastal ecosystem accounting through contemporary remote sensing for impactful natural climate solutions.