Education
- Master's degree in computer science from the graduate school ENSIMAG of Grenoble Institute of Technology, France, 2003.
- MSc degree in applied mathematics from Univ. Joseph Fourier, Grenoble, France, 2003.
- Ph.D. in applied mathematics from the Grenoble Institute of Technology in 2006.
Honors & Awards
- Best student paper award at the conference IEEE ICIP 2005
- Best Ph.D. award from Grenoble Institute of Technology in 2007.
Research Interests
Dr. Condat's area of interest includes convex optimization models and algorithms, and signal and image processing. He has co-authored more than 100 articles on these topics and he is a senior member of the IEEE.
Professional Experience
From 2006 to 2008, he was a postdoc in the Helmholtz Zentrum Muenchen in Munich, Germany. He was hired as a permanent researcher by the French National Center for Scientific Research (CNRS) in 2008. He spent 4 years in the GREYC, Caen, and then 7 years in GIPSA-lab, Grenoble.
From 2016 to 2019, he was a member of the French National Committee for Scientific Research. Since Nov. 2019, he is a Research Scientist in the AI Initiative at KAUST.