Antoine Cornuejols is Professor in Computer Science at AgroParisTech, Universityof Paris-Saclay. He is head of the Ekinocs research team and co-director of theH@rvest chair on the role of data sciences in agriculture. He has published a largenumber of research articles in major journals and conferences and is co-author oftwo books: one on Machine Learning's concepts and algorithms (in French, 4th edition)and one on Phase Transitions in Machine Learning. He has been the generalchair and program chair of several conferences, noticeably of EGC-2020 in Brussels.He has been thinking and working on artificial intelligence and machine learning since his doctorate studies at UCLA and Orsay University, from which he graduated.He is specifically interested in on line learning, transfer learning and collaborativelearning, settings where the classical machine learning approach based on the assumptionof a stationary environment must yield to new principles.Etienne Cuvelier is an assistant professor at ICHEC Brussels ManagementSchool (Brussels, Belgium), a trainer at CentraleSupélec Executive Education (Paris,France) and co-founder of the QUARESMI laboratory (Brussels, Belgium). After adegree in mathematics and a degree in computer science at UMons (Mons, Belgium),he started a first career in secondary, higher and social education. EtienneCuvelier then completed a PhD in computer science at the Faculty of Computer Scienceof UNamur (Namur, Belgium) in 2009. His main research interests are in thearea of complex data analysis (functional data, symbolic data, graphs).Arnaud Martin is full professor at University of Rennes 1 in the team DRUIDof IRISA laboratory. He received a HDR (French ability to supervised research) incomputer sciences (2009), a PhD degree in Signal Processing (2001), and Masterin Probability (1998). Pr. Arnaud Martin joined the laboratory IRISA at the universityof Rennes 1 as full professor in 2010 and co-create the team DRUID in 2012.He teaches data fusion, data mining, and computer sciences. His research interestsare mainly related to the belief functions with applications on social networks andcrowdsourcing. He is author of numerous papers and invited talks. He supervisednumerous Phd students.
Rakia Jaziriis currently associate professor in computer science at Paris 8 University, researcher
in the Artificial Intelligence Laboratory of Saint Denis (Paragraphe) and head of master program in Big Data and data mining. She is a former student of the Ecole Centrale de Lyon, she received the PhD degree in Computer Science in 2013 from the University of Paris Sorbonne in collaboration with the National Audiovisual Institute, thena post-doctorate in the field of Artificial Intelligence on massive data in particular,on algorithmsfor detecting aberrant data (suspicious behavior), the discovery of the typology of trajectories, and the prediction of the behavior of Internet users.
As a member of the program committees for major conferences in her field, she has regularlyorganized French-speaking conferences around AI. Her research topics now focus on machine learning. She is interested in analyzing data from social networks to extract information deemed to be significant for decision support. Her work has been the subject of numerous international publications and she was able to form partnerships with industry from all over the world.
Fabrice Guillet is a full professor in CS at Polytech'Nantes, the graduate engineeringschool of University of Nantes, France, and a member of the " Data User Knowledge"team (DUKe) of the LS2N laboratory. He received a PhD degree in CS in 1995from the " École Nationale Supérieure des Télécommunications de Bretagne", andhis Habilitation (HdR) in 2006 from Nantes university. He is a co-founder and vicepresidentof the International French-speaking "Extraction et Gestion desConnaissances (EGC)" society. His research interests include knowledge qualityand knowledge visualization in the frameworks of Data Science and KnowledgeManagement. He has co-edited two refereed books of chapter entitled "QualityMeasures in Data Min-ing" and " Statistical Implicative Analysis - Theory andApplications" published by Springer in 2007 and 2008.
