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Digital Meetup on How Deep Learning is changing the Earth Observation industry and beyond

Frank de Morsier
CTO, Picterra

Frank holds a PhD in machine learning applied to remote sensing imagery from the EPFL, Switzerland, ranked as the world’s 12th and Europe 2nd best engineering university. He is also a lecturer of the “Image Processing for Earth Observation” master course at EPFL. As the co-founder and CTO of Picterra, his focuses are on the development and applications of machine learning algorithms for multitemporal and multisensors image analysis, with a special emphasis on approaches allowing to upscale processing chains while keeping end-user interactions within the loop.

Roger Fong
Computer Vision Scientist, Picterra

Roger holds a B.Sc degree in Computer Science from Brown University in Providence, RI, USA, and an M.Bs degree in Computer Science with a minor in Micro Engineering from EPFL. As a Computer Vision Scientist at Picterra, he focuses on the application of Machine Learning algorithms on remote sensing imagery. He has worked primarily with deep learning models and is particularly interested in image recognition and object detection applications.

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Rohit Singh,
Director of R&D Center, Esri

Rohit Singh leads Esri’s R&D Center in New Delhi, where he leads the development of AI and Enterprise GIS technologies. Rohit is passionate about Geospatial AI, Machine Learning & Deep Learning and bringing them to GIS.

Rohit is a graduate of Indian Institute of Technology, Kharagpur, and has worked at computer vision startups, TCS and IBM before joining Esri. He has been recognized as an Industry Distinguished Lecturer for the IEEE- Geoscience and Remote Sensing Society (GRSS) and serves as a plenary speaker at several international conferences.

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Prof. Devis Tuia
Associate Professor, Environmental Computational Science and Earth Observation Laboratory, EPFL

Devis Tuia is an environmental scientist with a particular focus on remote sensing and geoinformation. He is heavily involved with the development of new methods to allow better interpretation of images and recordings of the Earth’s surface. He makes use of machine learning and efficient human-machine interaction and uses them to make sense of multimodal data. Prof. Tuia is part of the EPFL Alpine and Polar Research Centre in Sion, where he carries out a research program based on remote sensing and image analysis.

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Nicolas Ackermann received the M.Sc. degree in environmental engineering and sciences from the Swiss Federal Institute of Technology of Lausanne (EPFL) in 2008. He continued his studies by carrying a Ph.D. over a 4.5-year period with 3 years spent at the Department of Earth observation of the Institute of Geography at the FSU Jena and 1.5 years spent at the Chair of Earth observation and Remote Sensing of the Institute of Environmental Engineering at the Swiss Federal Institute of Technology Zürich (ETHZ). His work was awarded by several prices. After his PhD, he gained professional experience by working as a Postdoc at the European Space Agency (ESA) Center for Earth Observation (ESRIN) and as a remote sensing specialist at Gamaya SA, an AgTech startup. Currently, Nicolas works at the Swiss Federal Railways (SBB) as a development engineer drones. His mission is to develop UAV and satellites activities within SBB. His work includes collecting internal requirements, advising, testing UAV systems, defining processing workflows, processing and analyzing geospatial data, and translating data into actionable insights.

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