Fadi Namour (2018-)
Fadi Namour has started his PhD thesis in Fall 2018 under the guidance of Dr Jean-Luc Starck at CosmoStat. His PhD thesis entitled Sparse Semi-Parametric Recovery of Astronomical Radio-Images.
His goal is to develop new signal processing tools to reconstruct image acquired from radio telescopes. The main topics that he is working on are inverse problems, convex optimization and machine learning.
Sophie Starck (2019-2020)
Sophie has done her Master 1 internship under the supervision of Samuel Farrens. She has first contributed to our PySAP software. by devleloping new Python bindings to sparse multi-scale representations. then, she has worked in close collaboration with Zaccharie Ramzi on the usage of conditional Generative Adversarial Network to improve the performance of deep nets for MR image reconstruction.
Ming Jian (2014-17)
Former PhD candidate working on"Multichannel Compressed Sensing and its application on radiocosmology" and supported by the European project "PHySIS", which emphasizes sparse signal processing technologies.. Ming defended his PhD in November 2017 and then moved to a post-doctoral position at EPFL in Switzerland. look at his webpage.