Sébastien Marcel

Business Data
Other Affiliation: 
Personal Bio

Sébastien Marcel 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 biometrics. He is a senior researcher at the Idiap Research Institute (CH), where he heads a research team and conducts research on face recognition, speaker recognition and spoofing attacks detection. 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 is lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL). He serves on the Program Committee of several scientific journals and international conferences in pattern recognition and computer vision. He is also an Associate Editor of the IEEE Transactions on Information Forensics and  Security, a Co-editor of the “Handbook of Biometric Anti-Spoofing”, a Guest Editor of the IEEE Transactions on Information Forensics and  Security Special Issue on “Biometric Spoofing and Countermeasures”, and Co-editor of the IEEE Signal Processing Magazine  Special  Issue on “Biometric Security and Privacy”. Finally he is the principal investigator of international research projects in the area of biometrics.

Presentation title: 
The BEAT data experimentation platform
Presentation description: 
The BEAT platform ( https://www.beat-eu.org/platform/ ) is a European computing e-infrastructure for Open Science proposing a solution for open access, scientific information sharing and re-use including data and source code while protecting privacy and confidentiality. It allows easy online access to data experimentation and testing in computational science. You define what data and modules you would like to use, we make sure the system runs and provides you with a result. Data from different experiments can be easily compared and searched. The platform also provides an attestation mechanism for your reports (scientific papers, technical documents or certifications). This talk will present the platform concept and functionalities. A short demo will be provided if time allows.