Rémi Cuingnet

Senior Research Scientist - Computer Vision & Machine Learning at Veolia

Rémi Cuingnet is a seasoned expert in computer vision and machine learning with extensive experience in research and development. Currently serving as a Senior Research Scientist at Veolia since January 2017, Cuingnet previously held key positions such as R&D Image Computing Manager at Mauna Kea Technologies and Research Scientist in Machine Learning for Medical Imaging at Philips. A strong academic background includes a PhD in Image & Signal Processing from Paris-Sud University and two master's degrees—one in Signal Processing from Télécom Paris and another in Applied Mathematics from École Polytechnique. Additionally, Cuingnet contributed to academia as a teaching assistant in Mathematics at Pierre and Marie Curie University.

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