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, detection/estimation...
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.

Copyright ©2012,Lotfi CHAARI