Invited Speakers

Meghyn  Bienvenu, LaBRI research lab, University of Bordeaux, France

Meghyn Bienvenu is a senior researcher (directrice de recherche) at the CNRS (French National Center for Scientific Research) and member of the LaBRI research lab in Bordeaux. She is well known for her many contributions to the fields of knowledge representation and reasoning, description logics and databases, with a particular focus on the use of ontologies to query incomplete data and the development of logic-based approaches to handle inconsistent data. She has held many responsibilities within the research community, notably serving as PC co-chair of KR 2021 and associate editor of Artificial Intelligence Journal, and has received several prestigious distinctions, including a CNRS Bronze Medal in 2016, an Early Career Spotlight at IJCAI 2016, and, together with her coauthors, a 2023 ACM PODS Alberto Mendelzon Test-of-Time Award.

Lluis Godo, Artificial Intelligence Research Institute (IIIA), CSIC, Bellaterra, Spain

Lluis Godo is a researcher recognized for his various contributions in the field of logics and uncertainty models for artificial intelligence. He is a senior researcher at the Artificial Intelligence Research Institute (IIIA) of the Spanish National Research Council (CSIC). His work primarily focuses on uncertainty in artificial intelligence, including fuzzy logic, possibilistic logic, conditional algebras, and approximate reasoning. He has authored numerous research papers and articles, presented at various international conferences, and served on the editorial boards of several prestigious journals. He is currently Co Editor-in-Chief of Fuzzy Sets and Systems Journal.  His expertise and research have significantly advanced the understanding and application of AI in handling uncertain and imprecise information.

Barbara Vantaggi, Dep. of Methods and Models for Economics, University of Rome “La Sapienza”, Italy

Barbara Vantaggi is a researcher known for her work in the  domains of decision theory and reasoning under uncertainty, involving frameworks as varied as coherent previsions, Dempster-Shafer structures, possibility, and probability. She is a full professor at Sapienza University of Rome (Italy). She has contributed to the field of uncertainty modeling by developing conditioning, coherence, and rationality notions for non-additive measures, non-linear functionals and envelopes of conditional expectations. Among other fields, she has applied her findings to financial modelling under ambiguity, solving problems such as pricing, portfolio selection and risk analysis problems in a dynamic and imprecise setting. She is the author of several papers in scientific conferences and journals and she serves in the editorial boards of several prestigious journals, such as Fuzzy Sets and Systems and International Journal of Approximate Reasoning.