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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


Myriam Merad   

Conference papers1 document

  • Myriam Merad, Wassila Ouerdane, Nicolas Dechy. Expertise and decision-aiding in safety and environment domains : what are the risks ?. ESREL Annual Conference 2011, Sep 2011, Troyes, France. pp.2317-2323. ⟨ineris-00970929⟩