The following positions under my supervision are open and to fill until a candidate is found.
Postdoc Positions: (at CentraleSupélec) Neural networks, Deep learning.
Several Internship Positions: (at CentraleSupélec) Machine learning and large dimensional statistics.
Romain Couillet received his MSc in Mobile Communications at the Eurecom Institute and his MSc in Communication Systems in Telecom ParisTech, France in 2007. From 2007 to 2010, he worked with ST-Ericsson as an Algorithm Development Engineer on the Long Term Evolution Advanced project, where he prepared his PhD with Supelec, France, which he graduated in November 2010. He is currently a full professor in the LSS laboratory at CentraleSupélec, France. His research topics are in random matrix theory applied to statistics, machine learning, signal processing, and wireless communications. He is an IEEE Senior Member. In 2015, he received the HDR title from University ParisSud. He is the recipient of the 2013 CNRS Bronze Medal in the section "science of information and its interactions", of the 2013 IEEE ComSoc Outstanding Young Researcher Award (EMEA Region), of the 2011 EEA/GdR ISIS/GRETSI best PhD thesis award, and of the Valuetools 2008 best student paper award.
[January 2016] Full Professor position :
As of January 2016, I am a full professor (Professeur des Universités) at CentraleSupélec, University of ParisSaclay.
[February 2015] HDR Defense :
I successfully defended my HDR (French "Habilitation à diriger des recherches") entitled "Robust Estimation Methods in the Large Random Matrix Regime" at CentraleSupélec on February 2nd, 2015. [thesis|slides].
[October 2013] IEEE ComSoc Young Researcher Award :
I received in October 2013 the IEEE ComSoc Outstanding Young Researcher Award for the EMEA Region (Europe, Middle-East, Africa) for my early research work in the wireless communication field.
[January 2013] CRNS Bronze Medal:
I received the CNRS (Centre National de la Recherche Scientifique) Bronze Medal in the section "science of information and its interactions". This prize is delivered every year to young researchers (about five to ten years after their PhD) working in France for their initial research findings.
[September 2011] Book on random matrix theory: Romain Couillet and Mérouane Debbah, Random Matrix Methods for Wireless Communications, Cambridge University Press, Sept. 2011. [outline|order]
Blending theoretical results with practical applications, this book provides an introduction to random matrix theory and shows how it can be used to tackle a variety of problems in wireless communications. The Stieltjes transform method, free probability theory, combinatoric approaches, deterministic equivalents and spectral analysis methods for statistical inference are all covered from a unique engineering perspective. Detailed mathematical derivations are presented throughout, with thorough explanation of the key results and all fundamental lemmas required for the reader to derive similar calculus on their own. These core theoretical concepts are then applied to a wide range of real-world problems in signal processing and wireless communications, including performance analysis of CDMA, MIMO and multi-cell networks, as well as signal detection and estimation in cognitive radio networks. The rigorous yet intuitive style helps demonstrate to students and researchers alike how to choose the correct approach for obtaining mathematically accurate results.
[April 2011] Best PhD thesis award:
I was awarded the 2011 best PhD thesis award in the field of signal, image and vision delivered by the EEA/GdR ISIS/GRETSI for my work on random matrix theory for cognitive radios (see my PhD report). I will present my work during the annual GRETSI conference held this September in Bordeaux.