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, where I started the 'multimodal remote sensing' group. In 2017, I joined Wageningen University (NL), where I was professor of the GeoInformation Science and Remote Sensing Laboratory. Since 2020, I joined EPFL Valais, to start the ECEO lab, working at the interface between Earth observation, machine learning and environmental sciences.
|Lobry, S., Marcos, D., Murray, J., Tuia, D.
IEEE Transactions on Geoscience and Remote Sensing
|RSVQA: visual question answering for remote sensing data|
|Kellenberger, B., Marcos, D., Tuia, D.
Remote Sensing of Environment
|Detecting mammals in UAV images: Best practices to address a substantially imbalanced dataset with deep learning|
|Zhu, X.X., Tuia, D., Mou, L., Xia, G., Zhang, L., Xu, F. Fraundorfer, F.
IEEE Geoscience and Remote Sensing Magazine
|Deep learning in remote sensing: A comprehensive review and list of resources|
Teaching & PhD
Environmental Sciences and Engineering
Doctoral Program in Civil and Environmental Engineering
Doctoral program in computer and communication sciences