Optimization for data science: algorithms, convex relaxations, sparse and low rank models, inverse problems, image and signal processing
Short bio: I got my PhD in 2006
from Grenoble Institute of Technology, Grenoble, France.
I spent 2 years as a postdoc in the Helmholtz Zentrum München, Munich, Germany.
I was hired as a permanent researcher by the CNRS in 2008. I spent 4 years in the GREYC, Caen, and 7 years at GIPSA-Lab, Grenoble. Since Nov. 2019, I am on leave from the CNRS and I am a Research Scientist in the
Visual Computing Center
of KAUST, Thuwal, Saudi Arabia.
[July 20] My paper
"Atomic norm minimization for decomposition into complex exponentials and optimal transport in Fourier domain" accepted to Journal of Approximation Theory
[June 20] Our paper
"From local SGD to local fixed point methods for federated learning" accepted to ICML 2020.
[May 20] Our paper
on optical tomography was chosen for the cover
of the journal Sensors