Programme > Panel

PANEL : Les BD pourront elles sauver l’IA?

Alors que le monde est aujourd’hui investi par l’IA, les recherches en IA sont de plus en plus amenées à adopter les développements scientifiques fondamentaux en BD  tels que les langages déclaratifs, le BD “mindset” qui sépare le Quoi du Comment, et le passage à l’échelle. Est-ce que les BDs sont en train de contribuer à faire briller l’IA ? Les spécialistes en BDs sont-ielles réduit.e.s à servir de plombier.e.s de l’IA, de mémoire de l’IA ?La question devrait-elle plutôt être : l’IA peut-elle sauver les BDs ? Et enfin, doit-on rester fidèles aux BDs pour les défendre contre l’IA jusqu’aux dents ? Au cœur de cela se trouve aussi une question essentielle sur la place des BDs dans les communautés scientifiques et auprès de nos étudiants. Autant d’interrogations que nous tenterons d'élucider lors de ce panel.

Modératrice: Sihem Amer Yahia, CNRS, UGA, Grenoble

Panélistes:

 Anne Laurent (she/her), University of Montpellier, LIRMM

 Anne Laurent is a Professor of Computer Science at LIRMM and Vice President for Open Science and Research Data at the University of Montpellier. Specialising in data architectures and artificial intelligence, she conducts her research at LIRMM and teaches at Polytech Montpellier. Since January 2024, she has headed the INRIA Branch at the University of Montpellier.

Pierre Senellart (he/him), Ecole Nationale Supérieure, PSL, DIENS

Pierre Senellart /pjɛʁ sənɛlaʁ/ is a Professor in the Computer Science Department at the École normale supérieure (ENS–PSL) in Paris, France, and Vice President of Université PSL in charge of digital infrastructure and information-systems convergence. An alumnus of ENS–PSL, he received his Master’s (2003) and PhD (2007) in computer science from Université Paris-Sud under the supervision of Serge Abiteboul, and obtained his habilitation (Habilitation à diriger des recherches) from Université Pierre et Marie Curie in 2012. Before joining ENS, he was an Assistant/Associate Professor (Maître de conférences, 2008–2013) and then Full Professor (2013–2016) at Télécom Paris. He also held secondary appointments as a lecturer at the University of Hong Kong (2012–2013) and as a senior researcher at the National University of Singapore (2014–2016). Pierre Senellart has published extensively in leading conferences and journals (PODS, SIGMOD, AAAI, VLDB Journal, Journal of the ACM, etc.). He has served on program committees and in organizational roles for numerous international conferences and workshops (including PODS, WWW, VLDB, SIGMOD, ICDE). His research interests span practical and theoretical aspects of Web data management, in particular Web crawling and archiving, information extraction from the Web, uncertainty management, Web mining, and the management of intensional data.

Alexandre Termier (he/him), University Rennes, IRISA

Alexandre Termier is a full Professor in the Computer Science lab (IRISA) of the University of Rennes 1. He is the head of the LACODAM research group of INRIA at IRISA lab, focused on Data Mining and Artificial Intelligence. He is an associate member of the Grenoble Informatics Laboratory (LIG), in the Scalable Information Discovery and Exploitation group. He was an associate professor in that group for seven years and maintains strong ties with my colleagues to this day. My research speciality is pattern mining, a field of data mining. 

In the past, he has worked on tree- and graph-structured patterns. He then became more interested in generic pattern mining algorithms, which can handle a broad range of pattern definitions using a single algorithm. Efficiency is a key concern for pattern miners; in this regard, he is interested in condensed representations and exploiting the parallelism of multicore processors. Today's critical challenge for the pattern mining domain is to output a few meaningful patterns. In this regard, he is interested in combining pattern mining approaches with optimisation techniques.

Karine Zeitouni (she/her), University Versailles Saint-Quentin-en-Yvelines, DAVID

Karine Zeitouni is a Professor in Computer Science at the Technical Institute of Technology of Vélizy –  UVSQ – Université Paris-Saclay. She received her Ph.D. in Computer Science from the University of Pierre et Marie Curie (Paris VI) and her HDR (Habilitation for Research Supervision) from the University of Versailles. Until June 2025, she served as Deputy Director of the Graduate School of Computer Science (GS ISN) and led the (ADAM) group at DAVID laboratory. Her primary research interests include databases, big data, and data mining, with a particular focus on spatial and temporal data. She applies her research to fields such as transportation, environmental science, astrophysics, and health. Throughout her career, she has supervised 16 Ph.D. students and has co-authored over 120 peer-reviewed journal and conference papers. Her research is funded through national grants, multi-partner projects, European, and bilateral collaboration programs. She regularly serves as a PC member in international conferences related to spatial databases and data mining, machine learning, and she reviews articles for various national and international journals in these fields. She has co-chaired several national and international conferences and workshops.