Devis Tuia

Devis Tuia is an Associate Professor at École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the CE department. His research focuses on Earth observation, remote sensing, machine learning, and image processing. Tuia leads the ECEO laboratory at EPFL, where his team explores Earth from above using machine learning, computer vision, and remote sensing technologies. His work includes developing algorithms for human-machine interaction, interpretable deep learning, and digital wildlife conservation. Tuia has contributed to various publications in remote sensing and environmental modeling. He teaches courses on geomatics, image processing for Earth observation, and deep learning for engineers.

Devis Tuia is a researcher at Ecole Polytechnique Fédérale de Lausanne (EPFL) specializing in machine learning, remote sensing, and spatial analysis. His work focuses on leveraging deep learning techniques for remote sensing applications, including satellite image classification, domain adaptation, and active learning. Tuia has contributed significantly to the development of methods for hyperspectral image classification, remote sensing data analysis, and the integration of machine learning in environmental monitoring. His research also addresses challenges such as imbalanced datasets and the use of contextual information in image processing. His publications highlight the application of optimal transport and convolutional neural networks in improving the accuracy and efficiency of remote sensing tasks.