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Wassila Ouerdane

Wassila Ouerdane. Maître de conférences HDR en informatique à CentraleSupélec -- Université Paris-Saclay
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Identifiants chercheurs

Présentation

I am an Associate Professor (HDR) in Computer Science at [CentraleSupélec](http://www.centralesupelec.fr/wordpress/), Paris-Saclay University and a member of the [MICS](http://mics.centralesupelec.fr/) (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, with aim of using formal tools from AI and Decision theory 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:** * Explainbale AI * Knowledge representation and Reasoning * Decision Aiding * Preference elicitation and Learning #### **Web site:** <https://wassilaouerdane.github.io>
I am an Associate Professor (HDR) in Computer Science at [CentraleSupélec](http://www.centralesupelec.fr/wordpress/), Paris-Saclay University and a member of the [MICS](http://mics.centralesupelec.fr/) (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, with aim of using formal tools from AI and Decision theory 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:** * Explainbale AI * Knowledge representation and Reasoning * Decision Aiding * Preference elicitation and Learning #### **Web site:** <https://wassilaouerdane.github.io>

Domaines de recherche


Publications

"belloir"
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Caractérisation des fausses nouvelles Une approche basée sur la modélisation conceptuelle

Nicolas Belloir , Wassila Ouerdane , Oscar Pastor
41st INFORSID 2023, May 2023, La Rochelle, France. pp.103-104
Communication dans un congrès hal-04453332v1
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A Conceptual Characterization of Fake News: A Positioning Paper

Nicolas Belloir , Wassila Ouerdane , Oscar Pastor , Émilien Frugier , Louis-Antoine de Barmon
16th International Conference on Research Challenges in Information Science (RCIS'22), May 2022, Barcelone, Spain. ⟨10.1007/978-3-031-05760-1_41⟩
Communication dans un congrès hal-03679073v1
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Characterizing Fake News: A Conceptual Modeling-based Approach

Nicolas Belloir , Wassila Ouerdane , Oscar Pastor
ER 2022 - 41st International Conference on Conceptual Modeling, Oct 2022, Hyderabad, India. ⟨10.1007/978-3-031-17995-2_9⟩
Communication dans un congrès hal-03697974v1