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Keynote Speakers

Juliette Sénéchal

Professeur de droit privé à l'Université de Lille, en délégation auprès de l'équipe SPIRALS - centre Inria de l'Université de Lille

Juliette Sénéchal is a Professor at the Faculty of Law, Economics and Management and deputy director of the Sciences, Law, Politics and Management doctoral school at the University of Lille. She is currently a member of the SPIRALS team at the Inria Centre in Lille. Her scientific work focuses on two areas: the study of contemporary changes in digital law and in contract law in the context of the construction of the European Union and the development of the single digital market.

Celestine Mendler-Dünner

ELLIS Institute, Tübingen

Celestine Mendler-Dünner is a Principal Investigator at the ELLIS Institute in Tübingen, co-affiliated with the Max Planck Institute for Intelligent Systems and the Tübingen AI Center. Her research focuses on machine learning in social context and the role of prediction in digital economies. Before moving to Tübingen she spent two years as a SNSF postdoctoral fellow at UC Berkeley. She obtained her PhD in Computer Science from ETH Zurich co-affiliated with IBM Research Europe. Her work has been recognized with the ETH Medal, the Fritz Kutter Prize and the IBM Eminence and Excellence award. She has been named a fellow of the Elisabeth Schiemann Kolleg, and a member of the Tübingen Cluster of Excellence on ML for Science.

Matthieu Cord

Sorbonne University

Matthieu Cord is a professor at Sorbonne University and scientific director of valeo.ai.  His academic research is carried out at the Institute of Intelligent Systems and Robotics (ISIR), where he heads the Machine Learning team (MLIA). He currently holds a chair in the national AI program at Sorbonne's SCAI center.  He is an honorary member of the Institut Universitaire de France and served for three years as an AI expert at the CNRS and ANR. His research focuses on computer vision, machine learning and artificial intelligence. He is the author of over 200 international scientific publications on semantic visual analysis and multimodal vision and language understanding.

Xavier Alameda-Pineda

Inria at Université Grenoble Alpes, Laboratoire Jean Kuntzmann, CNRS

Xavier Alameda-Pineda is a (tenured) Research Scientist at Inria and the Leader of the RobotLearn Team. He obtained the M.Sc. (equivalent) in Mathematics in 2008, in Telecommunications in 2009 from BarcelonaTech, and in Computer Science in 2010 from Univ. Grenoble-Alpes (UGA). He then worked towards his Ph.D. in Mathematics and Computer Science, and obtained it in 2013, from UGA. After a two-year post-doc period at the Multimodal Human Understanding Group, at the University of Trento, he was appointed to his current position. Xavier is an active member of SIGMM, member at large of the Steering Committee of ACM Multimedia, senior member of IEEE, and member of ELLIS. He is the Coordinator of the H2020 Project SPRING: Socially Pertinent Robots in Gerontological Healthcare and is co-leading the “Audio-visual machine perception and interaction for companion robots” chair of the Multidisciplinary Institute of Artificial Intelligence. He is Associated Editor of IEEE T. on Multimedia, ACM T. on Multimedia, Tools and Applications, Computer Vision and Image Understanding, and ACM T. on Intelligent Systems and Technology. Xavier’s research interests are at the crossroads of machine learning, computer vision, and audio processing for scene and behavior analysis and human-robot interaction.