Fields of expertise
- Machine learning, deep learning
- Image processing
Current work- Making remote sensing accessible to everyone! Developing algorithms for human machine interaction
- Open the black box: interpretable deep learning and uncertainties in environmental modeling
- Digital wildlife conservation: using imaging to automatize censuses and conservation efforts
BiographyI come from Ticino and studied in Lausanne, between UNIL and EPFL. After my PhD at UNIL in remote sensing, I was postdoc in Valencia (Spain), Boulder (CO) and EPFL, working on model adaptation and prior knowledge integration in machine learning. In 2014 I became Research Assistant Professor at University of Zurich, then Associate and Full professor at Wageningen University in the Netherlands. Since 2020 I lead the ECEO laboratory of EPFL, where we study Earth from above with machine learning, computer vision and remote sensing.
|D. Tuia, B. Kellenberger, S. Beery, B. Costelloe, S. Zuffi, B. Risse, A. Mathis, M. W. Mathis et al.
|Perspectives in machine learning for wildlife conservation
|G. Camps-Valls, D. Tuia, X. X. Zhu, M. Reichstein
|Deep learning for the Earth Sciences: A comprehensive approach to remote sensing, climate science and geosciences.
|D. Tuia, R. Roscher, J. D. Wegner, N. Jacobs, X. X. Zhu, G. Camps-Valls
IEEE Geoscience and Remote Sensing Magazine
|Towards a collective agenda on AI for earth science data analysis
|B, Kellenberger, D., Marcos, D., Tuia
Remote Sensing of Environment
|Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning
|S. Lobry, D., Marcos, J., Murray, D., Tuia
IEEE Transactions on Geoscience and Remote Sensing
|RSVQA: visual question answering for remote sensing data
Teaching & PhD
Environmental Sciences and Engineering