Summary
Camille Kurtz is a Full Professor of Computer Science at Université Paris Cité and leader of the SIP research team at LIPADE, with a decade of experience spanning academic research, teaching, and applied R&D in computer vision, image analysis and pattern recognition. Her work focuses on foundational questions of image representation—integrating visual, semantic and perceptual aspects—and has been applied to remote sensing, medical and document imaging as well as industry projects. She trained at Strasbourg and Stanford (postdoc in quantitative medical imaging) and holds an HDR, combining rigorous theoretical expertise with practical, short-cycle methodological contributions for industrial partners. As co-responsible for the Master’s Vision et Machine Intelligente, she blends curriculum design and hands-on instruction in programming, algorithms and pattern recognition. An often overlooked strength is her cross-domain fluency: she moves smoothly between deep academic problems and deliverable R&D outcomes, enabling research that is both scientifically original and practically useful.
10 years of coding experience
11 years of employment as a software developer
Master (M.Sc.), Computer Science, Master (M.Sc.), Computer Science at Université de Strasbourg
Habilitation degree (HDR), Computer Science, Habilitation degree (HDR), Computer Science at Université Paris Cité
Ph.d., Computer Science, Ph.d., Computer Science at University of Strasbourg
Licence (B.Sc.), Computer Science, Licence (B.Sc.), Computer Science at UBFC - Université Bourgogne-Franche-Comté
Postdoctoral scholar, Medical image analysis, Postdoctoral scholar, Postdoctoral scholar, Medical image analysis, Postdoctoral scholar at Stanford University
French, English