Vincent Mazet

Associate professor at the University of Strasbourg

Dean of studies at Télécom Physique Strasbourg

Research

My research activities focus on inverse problems in signal & image processing. I generally use Bayesian approaches, MCMC algorithms, and sparse approximation methods.

Modeling the space-time functional connectivity in fMRI (Massyl Moudoud's Ph.D., in progress)
Improving measures of a sensors network on electrical installations (with Socomec, Hamza Nait Hmid's Ph.D., in progress)
Fast detection of unicellular microorganisms by high-resolution imagery (with Redberry, Iris Daurensan's Ph.D., 2021
Joint Bayesian decomposition of spectroscopic signal sequences (Hassan Mortada's Ph.D., 2018)
Detection of faint extended sources in astronomy (Jean-Baptiste Courbot's PhD, 2017)
Building detection in remote sensing (Tran Thanh Ngo's Ph.D., 2015)
Spectro-morphological galaxy classification (Benjamin Perret's Ph.D., 2010)
Decomposition of spectroscopic signals into peaks
Simulation of truncated Gaussian distributions
Baseline correction in spectroscopy

Research projects :

DAHLIA (ANR BLANC, 2009-2012)
SpectroDec (PEPS CNRS, 2011-2012, PI)
DSIM (ANR JCJC, 2015-2018, PI)

Publications

Teaching

University of Strasbourg / Télécom Physique Strasbourg

Play with the educational animations!

Some teaching materials of my courses are freely downloadable!