Wassila Ouerdane

wassila.ouerdane [at] centralesupelec.fr

Résumé :

  • Wassila Ouerdane an Assistant Professor (Lecturer, MCF) in Computer Science at CentraleSupélec, and a member of the MICS (Mathématiques et Informatique pour la Complexité et les Systèmes) Lab, within the Research Group LOGIMICS (LOGIcal approaches for Modelling, data Interpretation and Complex Systems) since February 2019. Previously, she was in the Industrial Engineering Lab at CentraleSupélec (Spet. 2010- January 2019), within the Decision Aid team. She holds a PhD on Computer Science from University of Paris Dauphine in December 2009, on the subject "Multiple Criteria Decision Aiding: a dialectical Perspective". Her research activities are across two fields: Artificial Intelligence and Decision Theory. She is interested in questions related to Knowledge Representation and Reasoning within the context of Explainable AI. She investigates several questions among them: using argumentation theory as a tool to both specify agent reasoning (resolving conflicts, explaining decisions, etc.) and facilitate agent interaction (dialogue protocol). I am also interested by applying decision aiding methodologies within real context.

Mots clés :

  • Intelligence Artificielle, Aide à la Décision

Publications :