About
Stephanie Tumampos is a Research Fellow at the Chair of Remote Sensing Methods, Technical University of Munich (TUM), where she has contributed to environmental remote sensing research since October 2021. Her work bridges advanced machine learning techniques with practical environmental monitoring applications.
Academic background includes:
- B.Sc. in Applied Physics, University of the Philippines Los Banos (Instrumentation focus)
- M.Sc. in Environmental Engineering, University of the Philippines
- M.Sc. in Digital Earth (EMJMD Copernicus), University of Salzburg & University of South Bretagne
Her research centers on overcoming sensor modality barriers in environmental monitoring through deep learning and data fusion. She specializes in generalizing deforestation assessment models across different satellite systems while advancing science communication practices. Current projects include international collaborations on Earth surface dynamics with Imperial College London and participation in TUM's EuroCrops initiative for agricultural monitoring.
Stephanie actively contributes to multiple funded research streams including Global Earth Monitor and PreTrainAppEO, demonstrating sustained grant support. Her collaborative approach spans institutional boundaries while maintaining focus on practical environmental solutions through cutting-edge remote sensing methodologies.
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