Marvin Burges is an Internal Research Fellow at ESA Phi-lab, where he works on machine learning and computer vision for Earth observation. He holds a Diplom in Computer Science (Dipl. Inf.) from TU Dresden and is finalizing his Dr. techn. at TU Wien, where his doctoral research focuses on interactive and active learning based object detection in remote sensing imagery, with applications ranging from bomb crater detection in WWII era aerial images to detecting greenhouses and waffle homes for damage assessment and population modeling. During his PhD, he completed an internship at Oak Ridge National Laboratory (USA), combining foundation models with active learning for efficient dataset annotation. His work emphasizes human in the loop approaches to enhance model reliability and accessibility, including the development of QGIS plugins for domain experts and user studies to evaluate model usability. He has published at venues such as WACV and ICCV.
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