Samuel Foucher is an Assistant Professor and seasoned researcher with 15+ years of experience at the intersection of computer vision, remote sensing and machine learning. After a long tenure at CRIM where he led the Vision & Imaging team and advanced applied research, he now teaches and conducts research at Université de Sherbrooke’s Department of Applied Geomatics. He holds a PhD in Remote Sensing and a strong engineering background in image processing and radar from top French institutions, giving him deep domain expertise from physics to algorithm development. Samuel is skilled at translating satellite and sensor data into operational products—an ability rooted in earlier work developing meteorological products in industry. Colleagues value his blend of academic rigor and hands-on project leadership that consistently moves prototypes toward real-world applications.
14 years of coding experience
23 years of employment as a software developer
Bachelor's degree, Physics, Bachelor's degree, Physics at Université de Nantes
DEA, Signal, Telecommunications, Image and RADAR, DEA, Signal, Telecommunications, Image and RADAR at Université de Rennes I
Contributions:1 review, 20 commits, 2 PRs in 3 months
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Samuel Foucher - Assistant Professor at Université de Sherbrooke