Joana Reuss

Joana Reuss, M.Sc. is a Researcher at the Chair of Remote Sensing Technology at the Technical University of Munich. She holds a B.Sc. in Business Mathematics from the University of Mannheim and an M.Sc. in Data Science from the University of Barcelona, with a master's thesis in Computer Vision. Her research focuses on AI model generalization in Remote Sensing, particularly Meta- and Transfer-Learning for crop type classification. She contributes to the PreTrainAppEO project, aiming to enhance Earth observation AI efficiency via pre-trained models.

Research interests include Deep Learning applications in Remote Sensing, agricultural data analysis, and cross-modal sensor generalization. Recent work addresses deforestation monitoring and endoluminal image classification using sequential models. She collaborates with institutions like DLR and BMWi on applied Earth observation challenges.

No scientific awards are explicitly mentioned. Her academic contributions span benchmark dataset development and interdisciplinary projects bridging computer vision and environmental science. She teaches courses on image understanding and machine learning trends within the university's Remote Sensing curriculum.