Research Center for
Information and Communication Sciences



Research Center for
Atmospheric Molecular Studies



Table of Contents


. English CV
French CV

. Biography

. Projects
Current projects

. Old projects
Closed projects

. Courses
Current year

. Publications
Complete publication list

. References
Database in bibtex format.

Nicolas Petrochilos, Ph.D.

coucou
address:
Assistant-Professor Nicolas Petrochilos
CReSTIC-LAM, University of Reims
Moulins de la Housse, BP 1039
51687 Reims Cedex 2
France
phone:
+33 (0) 3 26 91 82 19
fax:
+33 (0) 3 26 91 31 06
email:
nicolas.petrochilos (at) univ-reims.fr
petro (at) ieee.org
petro (at) ee.hawaii.edu

Short bio

N. Petrochilos got his bachelor in 1994 at "Ecole Normale Supérieure de Lyon". During his one year mandatory military duty, he was employed as a research officer in a navy computer center. In 1996, he obtained a Master of Science in Signal and Image Processing of E.N.S.E.A in Cergy-Pontoise, co-promoted by the E.N.S. Lyon, with the distinctions of the jury and was ranked first in his class. In 1997, he obtained a Master of Pedagogy in Physics. In December 2002, he obtained a Ph.D. degree from Technical University Delft, Netherland, and University of Nice, France. The thesis entitled ``Algorithms for Separation of Secondary Surveillance Radar Replies'' was co-supervised Prof. A.J van der Veen, CAS, TU Delft, and Prof. P. Comon, I3S, University of Nice.

Now, N. Petrochilos is an assistant-professor at the University of Reims on sabbatical leave, belonging to both laboratories CReSTIC-LAM and GSMA.

He has also been an assistant-professor at ISTASE (University of Saint-Etienne, FR), and a visiting professor at the University of Tor Vergata in the RADARLAB laboratory.  He was also a visiting scholar at the University of Hawaii !!

Click here for a more detailed curriculum vitae, including a list of publications.

Current research areas:

  • Source Separation for Secondary Surveillance Radar: (Articles)
    Initiated during my Ph.D. thesis (thesis, MATLAB files, Case W5 , presentation of my defense, experimental setup), where the interest was about algebraic source separation in a blind context (array signal processing).
    This work continues with a focus on more practical issues within a collaboration with Prof. G. Galati.
    Keywords: Algebraic source separation, blind array signal processing, SSR, multi-lateration, PARAFAC, Yeredor's algorithm.
  • Blind separation of Human Heartbeats and breathing by the use of a Doppler Radar Remote Sensing : (Articles)
    The use of a SIMO Doppler radar with digital signal processing technique gives an effective non-invasive remote sensing of heart beat signals. Initial results have showed that the proposed technique is very promising in successfully isolating desired heart beat signals from other mobile objects and other distortion effects characterizing the wireless channel. We aim to blindly separate the signals from two subjects in the same room.
    Keywords: Blind Source Separation, Doppler RADAR, Biomedical application.

Past projects:

  • Signal Processing for the atmospheric spectroscopy: (Article)
    We are interested in the characterization of the CO2 spectrum: peaks localization and estimation of self-broadening parameters (see for example: Ozone).
    Keywords: Detection/Estimation, spectroscopy, CO2.
  • Non-Linear channel beamforming for Ultra-WideBand : (Articles)
    Consider the reception of the UWB sources as a multi-channel second order Volterra system. We investigate the possibility to perform beamforming on the reception array.
    Keywords: Source separation, non-linear channel (Volterra), UWB.
  • Mobile Communication, OFDM et CDMA: (Articles OFDM and CDMA)
    One important problem but often overlooked in mobile communication field is synchronisation, this research proposed synchronizing schemes based on algrebraic properties for OFDM and CDMA.
    Keywords: OFDM, CDMA, Synchronization.
  • Non-Linear Channel Identification (Articles)
    We investigated the Identification of Non-linear channel, either with data-aided scheme on any order of non-linearity, with any kind of input distributions, or blindly on second order channel with typical communication distributions.
    Keywords: Identification, non-linear channel (Volterra).
  • Source Separation with Positivity Constrains: (Article)
    The goal is to separe a mixture of source to force the positivity of the source, it is applied to Automatic identification of cereal grain tissues, and to atmospheric layer identification.
    Keywords: Source separation, positivity constraint.
  • Meteorological Radar: (Article)
    Application of the multi-lateration concept and the JAFE algorithm to airport wind radars.
    Keywords: Wind radar, multi-lateration.

Courses:


Maintened by N. Petrochilos on the 10 of october 2005.