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Wassila Ouerdane. Lecturer at CentraleSupélec


I am 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, I was in the Industrial Engineering Lab at CentraleSupélec (Spet. 2010- January 2019), within the Decision Aid team. I hold a PhD on Computer Science from University of Paris Dauphine in December 2009, on the subject "Multiple Criteria Decision Aiding: a dialectical Perspective". My research activities are across two fields: Artificial Intelligence and Decision Theory. I am interested in questions related to Knowledge Representation and Reasoning within the context of Explainable AI. I 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. 

Research Interests: 

  • Multiple Criteria Deciison aiding 
  • Artificial Intelligence (knowledge representation and reasoning)

Web site: https://wassilaouerdane.github.io


Alexandru Liviu Olteanu   

Journal articles1 document

  • Alexandru Liviu Olteanu, Khaled Belahcene, Vincent Mousseau, Wassila Ouerdane, Antoine Rolland, et al.. Preference elicitation for a ranking method based on multiple reference profiles. 4OR: A Quarterly Journal of Operations Research, Springer Verlag, 2021, ⟨10.1007/s10288-020-00468-5⟩. ⟨hal-03094046⟩