UMR 5141 LTCI
He is associate professor at Telecom ParisTech - LTCI UMR 5141 in the TII (image processing) team.
From 2012 to 2014 he was postdoc (research and teaching position) at UCLA. Host: S. Osher.
Yohann Tendero received his Ph.D degree in Mathematics from CMLA/ENS Cachan in 2012.
His research interests are applied mathematics and algorithms for imaging sciences including: modeling, analysis, image restoration algorithms, visual data acquisition systems, and image acquisition numerical chain designs. Specialist of computational photography.
Inverse problems for imaging sciences.
Denoising of exotic noises. Mathematical and numerical apects of imaging chains.
Design and implementation of new algorithms for imaging sciences and their transfer to specialists of other fields, forensics and industry.
His paper with J.-M. Morel. "A Theory of Optimal Flutter Shutter For Probabilistic Velocity Models" has been selected for a SIAM Nugget,
He'll be the leading organizer of an international (at least week-long) workshop on computational photography at the
Institute for Pure and Applied Mathematics (IPAM), Los Angeles, (TBA) 2017.
Co-organizers (tentative list): R. Baraniuk, A. Foi, A. Levin, S. Osher and G. Sapiro. Contact.
He'll co-organize of an international 1-day event on computational photography and hybrid cameras, june 17th 2016.
Co-organizers: A. Almansa, M. Boffety and P. Trouvé. Contact.
He is the leader of the contract "APPAREO" between Telecom ParisTech and "Bureau d'Enquêtes et d'Analyses" (BEA, French NTSB). The goal design
methods to analyze videos of planes/helicopters cockpits to help investigators and prevent future incidents. He design
and transfer news algorithms to help BEA forensics.
He was the leading organizer of an international workshop on computational photography and intelligent cameras at the
Institute for Pure and Applied Mathematics (IPAM), Los Angeles, on Feb 4-6th, 2015.
Co-organizers: A. Agrawal, R. Baraniuk, L. Carin, O. Cossairt, S. Osher.
He is co-principal investigator (with S. Osher and J. Darbon) of the ONR grant N000141410683: Imaging science algorithms based on finite and infinite dimensional Hamilton-Jacobi equations, $540,000 for 2014-2017. I'm the leader of the computational photography component of this grant.
He designed an effective non-uniform noise correction numerical chain for infrared imaging and transfered the technology
to the "Direction Generale pour l'Armement" (DGA, French DARPA).
He is member of the editorial board of the
Image Processing on Line (IPOL) journal.
His research was awarded in 2013 by the J. Hadamard foundation for Mathematics.