Biography

Technical Biography

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 


 

Laurent David Cohen was born in 1962. He was student at the Ecole Normale Superieure , rue d'Ulm in Paris, France from 1981 to 1985. He received the Master's and Ph.D. degrees in Applied Mathematics from University of Paris 6, France, in 1983 and 1986, respectively. He got the Habilitation à diriger des Recherches from University Paris 9 Dauphine in 1995.
From 1985 to 1987, he was member at the Computer Graphics and Image Processing group at Schlumberger Palo Alto Research, Palo Alto, California and Schlumberger Montrouge Research, Montrouge, France and remained consultant with Schlumberger afterwards. He began working with INRIA, France in 1988, mainly with the medical image understanding group EPIDAURE.
He obtained in 1990 a position of Research Scholar (Charge then Directeur de Recherche 1st class) with the French National Center for Scientific Research (CNRS) in the Applied Mathematics and Image Processing group at CEREMADE, Universite Paris Dauphine, Paris, France. His research interests and teaching at university are applications of Partial Differential Equations and variational methods to Image Processing and Computer Vision, like deformable models, minimal paths, geodesic curves, surface reconstruction, Image segmentation, registration and restoration.
For many years, he has been editorial member of the Journal of Mathematical Imaging and Vision, Medical Image Analysis and Machine Vision and Applications.

 

He was also member of the program committee for about 50 international conferences. He authored about 300 publications in international Journals and conferences or book chapters, and 6 patents.
In 2002, he got the CS 2002 prize for Signal and Image Processing. In 2006, he got the Taylor & Francis
Prize:

``2006 prize for Outstanding innovation in computer methods in biomechanics & biomedical engineering.''

He was 2009 laureate of Grand Prix EADS de l'Academie des Sciences
He was promoted IEEE Fellow 2010 for contributions to computer vision technology for medical imaging