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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. In 2011, he received the Habilitation à Diriger des Recherches (French Tenure) from the University Paul Sabatier (Toulouse, France). 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 a 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 when the group joined the UMI 2958 (GeorgiaTech - CNRS). Since 2010, Olivier Pietquin sits at the IEEE Speech and Language Technical Committee and he is a Senior IEEE member since 2011. His research interests include spoken
dialog systems evaluation, simulation and automatic optimisation, machine learning, speech and 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
Teaching :
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Lectures :
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Labs and Tutorials
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Projects
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