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āļøAbout Me
Ahmed Laouar is a PhD candidate in computer science and applications at the Computer Science Research Center of Lens (CRIL). His research interests include Description Logic, inconsistency management/conflict-handling approaches, access control systems, and explainable AI. His primary focus is developing useful and efficient inconsistency-tolerant methods for Access Control Models while providing meaningful and helpful explanations for the decisions made.
Interests
- Artificial Intelligence
- Description Logics
- Access Control & Security
- Inconsistency management
- Explainable AI
- Large Language Models
Education
PhD Artificial Intelligence
Artois University
Research Master in Artificial Intelligence
Artois University
Master in Networks & Distributed Systems
the University of Constantine 2
BSc Computer Science
the University of Constantine 2
š My Research
Currently in the third year of my PhD at CRIL, my research focuses on the management of contradictory information in lightweight ontologies, as well as on explainable AI, with a specific application context in access control systems. The aim is to develop efficient methods for dealing with possible inconsistencies, while providing clear and useful explanations of the decisions made. Iām also part of the European project STARWARS, which focuses on data management for wastewater networks. Iām working mainly on issues related to inconsistent data and explainability of the proposed solutions.
Please reach out to collaborate š
Featured Publications
Recent Publications
(2025).
How to tractably compute a productive repair for possibilistic partially ordered DL-Lite_R ontologies?.
In FSS.
(2024).
An Ontology-Based Approach for Handling Inconsistency in Explainable and Prioritized Access Control Models.
In SUM 2024.
(2024).
Conflict handling strategies for partially ordered access control security policies.
In PACRIM 2024.
(2024).
On the Computation of a Productive Partially Ordered Possibilistic Repair.
In DL 2024.
(2023).
Tractable Closure-Based Possibilistic Repair for Partially Ordered DL-Lite Ontologies.
In JELIA 2023.
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