Fadi Nammour


Fadi Nammour


Contact Information
E-mail: fadi.nammour [at] cea [dot] fr
GitHub: fadinammour
Phone: +33 (0)1 69 08 99 27
Office: 277
Affiliation: IRFU/DAp-AIM
Supervisors: Jean-Luc Starck, Julien Girard


Research Interests

My thesis title is Sparse Semi-Parametric Recovery of Astronomical Radio-Images. Its goal is to develop new signal processing tools to reconstruct image acquired from radio telescopes. The main topics that I work on are Image Processing, Inverse Problems, Convex Optimization and Deep Learning.

Shape information contained in galaxy images is important in various domains of astrophysics such as Cosmology and Galaxy Evolution. During my PhD, I developed a shape constraint that allows to improve the reconstruction of galaxy images and the recovery of its physical information. As a proof of concept, I developed a sparse recovery algorithm and added the shape constraint to it. For this purpose, I generated a parametric dataset of optical galaxy images. Then I extended the shape constraint to Deep Learning and tested it by generating two realistic dataset containing more than 50,000 images each. The first dataset has optical images and the second one has MeerKAT-like radio images, which allowed us to test the Deep Learning methods we used and improved, for the first time, on radio data.

Conferences & Talks


  • 2018-2020 : Teaching assistant, Signals & Systems at Paris-Diderot university, Paris, France.
  • 2019-2020 : Teaching assistant, Circuits & Architecture at Paris-Diderot university, Paris, France.


Attended Courses & Workshops

Previously to my PhD studies

  • Engineering degree, specialized in Image Processing, IMT Atlantique, Brest, France, September 2018.
  • SISEA Masters II in Research, specialized in Image Processing, IMT Atlantique, Brest, France, September 2018.
  • BS in Mathematics, University of  Western Brittany, Brest, France, June 2016.
  • Preparatory classes, Math and Physics option, Saint Joseph University, Beirut, Lebanon, June 2015.

I am expected to defend my PhD on the 25th of November, 2021, at CEA Paris-Saclay.

Last updated: October 2021