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2022-04-25 NITheCS Colloquium: Devis Tuia, Machine learning supporting ecology supporting machine learning
2022-04-25 NITheCS Colloquium:

Devis Tuia (Ecole Polytechnique Fédérale de Lausanne)

Machine learning supporting ecology supporting machine learning

Abstract: We live in an age full of data. In all areas of society, digital data is now abundant, but also unstructured and pretty much unexploited. Animal ecology is no exception and the last years have seen an increase in the use of digital sensing to observe and understand the animal realm. In this talk, I will present some success stories at the interface of machine learning and conservation, where camera traps and drone data were used to support censing, population estimation and a general understanding of animal behaviour. I will then sketch a number of points of synergetic action necessary to strengthen such an interface, a necessary step to jointly tackling the biodiversity crisis.
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Devis Tuia
Professor @Ecole Polytechnique Fédérale de Lausanne, Environmental Computational Science and Earth Observation Laboratory
Devis completed his PhD at the University of Lausanne, Switzerland, where he studied kernel methods for hyperspectral satellite data. He then travelled the world as a postdoc, first at the University of València, then at CU Boulder and finally back to EPFL. In 2014, he became an assistant professor at the University of Zurich, and in 2017 he moved to Wageningen University in the Netherlands, where he was chair of the Geo-Information Science and Remote Sensing Laboratory. Since September 2020, he is back at EPFL, where he leads the Environmental Computational  Science and Earth Observation laboratory (ECEO) in Sion. There, he studies the Earth from above with machine learning and computer vision.