Sébastien Marcel is the head of the Biometrics group and senior research scientist at the Idiap Research Institute (CH), where he leads a research team and conducts research on biometrics and more particularly face recognition, speaker recognition, vein recognition and spoofing/anti-spoofing.
He received the Ph.D. degree in signal processing from Université de Rennes I in France (2000) at CNET, the research center of France Telecom (now Orange Labs). He is currently interested in pattern recognition and machine learning with a focus on multimodal biometric person recognition.
In 2010, he was appointed Visiting Associate Professor at the University of Cagliari (IT) where he taught a series of lectures in face recognition. He serves on the Program Committee of several scientific journals and international conferences in pattern recognition and computer vision.
Sébastien Marcel is the principal investigator of international research projects including MOBIO (EU FP7 Mobile Biometry http://www.mobioproject.org ), TABULA RASA (EU FP7 Trusted Biometrics under Spoofing Attacks http://www.tabularasa-euproject.org ) and BEAT (EU FP7 Biometrics Evaluation and Testing http://www.beat-eu.org ).
Mobile biometrics ( http://www.mobioproject.org )
Spoofing ( http://www.tabularasa-euproject.org )
Biometrics evaluation and testing ( http://www.beat-eu.org )
Fields of expertise
image processing, pattern recognition, machine learning, biometrics
|Senior research scientist||Biometrics||Idiap research institute||since 2008|
|Visiting Associate Professor||Pattern Recognition and Applications Group||University of Cagliari (Italy)||Jan-Feb 2010|
|Research scientist||Idiap research institute||2005-2007|
|Postdoctoral researcher||Dalle Molle Institute for Perceptual Artificial Intelligence||2000-2004|
|Research Engineer||Neural Networks for Telecom Applications (TNT)||France Telecom R&D (Orange Labs)||1997-2000|
|PhD||Signal processing||Universit� de Rennes I (France)||1997-2000|
|Master in research||Artificial Intelligence||Universit� Paul Sabatier Toulouse (France)||1996|
Teaching & PhD
- Electrical and Electronics Engineering,
- Doctoral Program in Electrical Engineering
- Doctoral program in computer and communication sciences
This course provides in-depth understanding of the most fundamental algorithms in statistical pattern recognition as well as concrete tools (as source code) to PhD students for their work. It will cover regression, classification (MLP, SVM) and probabilit...