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Samuel Foucher is a Professor at the University of Sherbrooke in the Faculty of Letters and Human Sciences. His research interests encompass Remote Sensing, Deep Learning, Synthetic Aperture Radar, and Image Processing. He has a PhD in Remote Sensing from the Geography Department at the University of Sherbrooke and has held various academic positions, including Senior Researcher at the Computer Research Institute of Montreal. He has significant experience in funded research projects, demonstrating expertise in applying innovative technologies to geographic information science. His recent works include developing tools that leverage computer vision techniques for improved image processing and analysis, emphasizing the integration of artificial intelligence in geospatial data handling. He actively teaches courses on applied geomatics and deep learning related to Earth observation and leads new initiatives that explore the impact of technology on environmental monitoring. His contributions to significant conferences demonstrate his commitment to advancing research in the field of geospatial science.
University of Sherbrooke • Sherbrooke, QC, Canada
Computer Research Institute of Montreal • Quebec, Canada
The University of Sherbrooke is primarily a French-language institution; functional French (B2/C1 level) is typically required for most programs unless specified for research-based paths.