Marc CASTELLA
E-mail : marc.castella@univ-mlv.fr
http://www-syscom.univ-mlv.fr/~castella/ 		PhD Student in Signal Processing
Former Student at the
Ecole Normale Supérieure de Cachan,
Agrégé de physique appliquée 		Born 16/09/1976,
Single.

Education/Qualifications

  • 1993 / 1994
    		• Final year of high school, Baccalauréat C (Maths, Physics) with honors (mention Très bien) , Lycée français de Vienne (Austria).
  • 1994 / 1997
    		•  Junior college studies preparing the competitive entry examinations to French top engineering schools («Grandes Ecoles») (Maths, Physics, Chemistry): Lycée Saint-Louis, Paris.
  • 1997 / 2001
    		•  Student at Ecole Normale Supérieure de Cachan in the field of applied physics:
    B.Sc. (1998),M.Sc. (1999) EEA (Electronique, Electrotechnique, Automatique) option Télécommunications, mentions Très Bien, Université d'Orsay (equivalent of a Master's degree).
    Agrégation de Sciences Physiques, option Physique et Electricité Appliquées, ranked 5th (2000) (nationwide competitive examination in the field of applied physics).
    DEA Automatique et Traitement du Signal, mention Bien (2001), ENS de Cachan (postgraduate degree with specialization in signal processing).
    Magistère EEA: mention Bien (2001), Université d'Orsay / ENS de Cachan.
  • 2001 / 2004
    		•  PhD Student in signal processing, Université de Marne-la-Vallée / Laboratoire Traitement et Communication de l'Information (CNRS-UMR 5141) of the Ecole Nationale Supérieure des Télécommunications (ENST Paris).
    Thesis subject: Blind source separation of convolutive mixtures (supervisor: J.-C. Pesquet; planned to finish in 2004).
    Moniteur, Université de Marne-la-Vallée (teaching assistant).

    Work experience

    Training periods:

  • june / august 1998
    		• BOSCH research center Gerlingen (Germany): programmed the control of a brake testing bench with LabVIEW.
  • june / august 1999
    		• Signal Processing Laboratory (LTS) of the Swiss Federal Institute of Technology (EPFL): analysis of financial signals.
  • march / june 2001
    		• Laboratoire de Neurosciences Cognitives et Imagerie Cérébrale (CNRS, UPR640-LENA, Hôpital de la Pitié-Salpêtrière): application of independent component analysis to the characterization of the sources of magneto- and l'electroencephalography.

    Teaching:

  • january / february 2001
    		• Course in signal processing at the engineering school CESI-CEFIPA (21h).
  • 2001 / 2004
    		• Courses in signal processing at Université de Marne-la-Vallée, Ingénieurs 2000. (3x20h).
    Courses in maths at Université de Marne-la-Vallée, Deug STPI (3x36h).
  • années 2003/2004
    		• Lectures and classes in deterministic signal processing at ESIEA Paris (Ecole Supérieure d'Informatique Electronique Automatique, 120 students, 2x30h).

    Other:

  • Reviewer for articles submitted to IEEE Transactions on Signal Processing.

    Languages

  • french
    		• mother tongue.
  • english
    		• fluent.
  • german
    		• fluent (journeys in Austria, Germany).
  • polish
    		• good communication skills and very good understanding.

    Computer skills

  • Linux, Unix, Windows environments.
  • C programming language, Matlab, LabView; assembly.
  • LATEX, HTML, JavaScript, PHP, and various softwares (Word, Powerpoint...).

    Outside activities

  • Music
    		• trumpet at conservatoire d'Antony, orchestra.
  • Sports
    		• swimming, roller-skating, water-sports, climbing.

    Publications

    Journal papers:
  • Marc Castella, Jean-Christophe Pesquet and Athina P. Petropulu, A Family of Frequency- and Time-Domain Contrasts for Blind Separation of Convolutive Mixtures of Temporally Dependent Signals. Accepted for publication in IEEE Transactions on Signal Processing. [pdf] Abstract
  • Marc Castella, Pascal Bianchi, Antoine Chevreuil and Jean-Christophe Pesquet, A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter. Submitted to Signal Processing.
    Conferences:
  • Marc Castella, Jean-Christophe Pesquet and Athina P. Petropulu, New contrasts for blind separation of non iid sources in the convolutive case. Proc. of EUSIPCO 2002, Vol.2, pp.107-110, Toulouse, France. [pdf] Abstract
  • Marc Castella and Jean-Christophe Pesquet, Source separation of a class of non linear time series. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP) 2003, Grado, Italy. [pdf] Abstract
  • Marc Castella, Antoine Chevreuil and Jean-Christophe Pesquet, Séparation aveugle d'un mélange convolutif de sources non linéaires par une approche hiérarchique. GRETSI 2003, Paris, France. [pdf] Abstract
  • Marc Castella, Eric Moreau and Jean-Christophe Pesquet, A quadratic MISO contrast function for blind equalization. Proc. of ICASSP 2004, pp.681-684, Montréal, Canada. [pdf] Abstract
  • Marc Castella, Pascal Bianchi, Antoine Chevreuil and Jean-Christophe Pesquet, Blind MIMO detection of convolutively mixed CPM sources. Proc. of EUSIPCO 2004, Vienna, Austria. [pdf]
  • Marc Castella and Jean-Christophe Pesquet, An iterative blind source separation method for convolutive mixtures of images. Proc. of Fifth Int. Conf. ICA 2004, Vol.3195, pp.922-929, Grenada, Spain. [pdf]
  • Marc Castella, Saloua Rhioui, Eric Moreau and Jean-Christophe Pesquet, Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics. ICASSP 2005 (accepted), Philadelphia, USA. [pdf]
    Other talks / conferences:
  • Journée Image de l' Action Spécifique «Séparation de Sources et Analyse en Composantes Indépendantes» du CNRS: quelques résultats sur la séparation de mélanges convolutifs 2D, Paris, 4 décembre 2003, communication orale.
    Updated: