Lotfi Chaari received the engineering and master degrees from the High
School of Telecommunication in Tunis (SUP'COM) in 2007. In 2010 he
received the PhD degree from the university of Paris-Est. He prepared his PhD with the Signal and Communication group of the Laboratoire
d'Informatique Gaspard Monge (LIGM), an associated lab of the Centre
national de la Recherche Scientifique (UMR 8049 - CNRS). He has been
working during his PhD on medical image reconstruction for Magnetic
Resonance Imaging, in collaboration with NeuroSpin-CEA (Saclay,
France), the first center in Europe dedicated to ultra-high field MRI
and applications in cognitive neurosciences. He then moved to Grenoble
as a postdoctoral fellow at Inria in the Mistis team where he worked on
functional MRI data analysis and activation detection-estimation. Since
september 2012, he is associate professor at INP-Toulouse. He is doing
his research with the TCI team of the IRIT, still on medical image
reconstruction and analysis.
In 2017, he received the HDR dissertation from the university of Toulouse.
Dr Chaari's research fiel covers image reconstruction and restoration
techniques under sparsity constraints, especially in application to
medical imaging. He is also interested in variational, Bayesian and
variational Bayesian approaches for image analysis, classification,
His main contributions have been made available to the image/signal
processors and medical imaging communities through a number of free
softwares such as PyHRF, pMRILab or FrameLab.