Spécialiste En Application De L'apprentissage Automatique En Vision Télédétection
Montreal, Quebec, Canada
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Summary
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Senior
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Top School
Mario Beaulieu is a Montreal-based specialist in machine learning applications for computer vision and remote sensing with over two decades of hands-on experience and nine years explicitly focusing on applied ML. Holding an M.Sc. in Geography with a concentration in remote sensing and deep learning and a B.Sc. in Physics, he has led development of deep-learning algorithms for satellite image classification, object detection and signal processing across research and industry projects, including contracts with the Canadian Space Agency. His work spans VIS, SAR and POLSAR satellite data, GIS integration, IP video surveillance and industrial/medical image analysis, bridging physics-informed insight with practical ML solutions. At CRIM since 2000 he has combined research rigor and product-oriented delivery, translating academic advances into deployable vision systems. Notably, his profile reflects a rare blend of long-term domain expertise in geospatial imaging with recent, formalized training in deep learning applied to satellite imagery.
10 years of coding experience
B. Sc., Physique, B. Sc., Physique at Université de Montréal / University of Montreal
M .Sc Géographie, Télédétection et Intelligence Artificiel, M .Sc Géographie, Télédétection et Intelligence Artificiel at Université de Montréal
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