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PIETQUIN Olivier

Supélec Campus de Metz
2 rue Edouard Belin
57070 Metz
FRANCE

Phone: +33(0)387 76 47 70
Fax: +33(0)387 76 47 00
E-mail:

 
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Short Bio

Olivier Pietquin obtained an Electrical Engineering degree from the Faculty of Engineering, Mons (FPMs, Belgium) in June 1999 and a PhD degree in April 2004. He joined the FPMs Signal Processing department (TCTS Lab.) in September 1999. In 2001, he has been a visiting researcher at the Speech and Hearing lab of the University of Sheffield (UK). Between 2004 and 2005, he was a Marie-Curie Fellow at the Philips Research lab in Aachen (Germany). Now he is an Associate Professor at the Metz campus of the Ecole Superieure d'Electricite (Supelec, France), and headed the "Information, Multimodality & Signal" (IMS) research group from 2006 to 2010. His research interests include spoken dialog systems evaluation, simulation and automatic optimisation, image processing, multimedia and biomedical signal processing.

Visit the IMS homepage!

Events:

November 2009 : Julien Oster and Matthieu Geist defended their PhD thesis

October 2009 : Elected member of the IEEE Speech and Language Technical Committee ( SLTC)

September 2009 : Organizing a special session at Interspeech'09 (Brighton, UK): Machine Learning for Adaptivity in Spoken Dialogue Systems

June 2008 : Organizing the JFPDA 2008 workshop on the Metz campus of Supélec.

May 2008 : Invited seminar at the PAROLE research team of the LORIA (Nancy, France) - Apprentissage statistique pour la simulation et l'optimisation de stratégies de dialogue homme-machine

February 2008 : Invited seminar at the HCRC of the University of Edinburgh (UK): Spoken Dialogue Simulation for Automatic Learning of Optimal Strategy.
Download the slides !

August 2007 : Organizing a special session at Interspeech'07 (Anvers, Belgium): Machine Learning for Spoken Dialogue Systems

Research Topics :

  • Statistical Signal Processing
  • Speech Processing
  • Image Processing
  • Spoken Dialogue Systems
  • Machine Learning
  • Reinforcement Learning
  • Biomedical Signal Processing
Publications :

Teaching :

  • Lectures :
    • Introduction to Signal Processing
    • Speech Processing
    • Machine Learning
    • Reinforcement Learning, Graphical Models, Bayesian Networks (slides fr) (slides en)
    • Boosting (slides fr)
  • Labs and Tutorials
    • Signal Processing
    • Bayesian Artificial Intelligence
  • Projects
    • Generic projects during 2nd and 4th semesters
    • Industrial and academic projects: SIF and IIC