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portfolio
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publications
Categorizing data imperfections for object matching in wastewater networks using belief theory
Published in International Conference on Advanced Intelligent Systems for Sustainable Development (AI2SD), 2022
Categorization of data imperfections in wastewater networks using belief theory for improved object matching.
Recommended citation: Et-targuy, O., Belghaddar, Y., Begdouri, A., Chahinian, N., Seriai, A., & Delenne, C. (2022, May). Categorizing data imperfections for object matching in wastewater networks using belief theory. In International Conference on Advanced Intelligent Systems for Sustainable Development (pp. 387-398). Cham: Springer Nature Switzerland.
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Syntactic computation of Fagin-Halpern conditioning in possibility theory
Published in 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (LPAR), 2023
Syntactic computation approach for FH-conditioning in possibility theory.
Recommended citation: Et-Targuy, O., Begdouri, A., Benferhat, S., & Delenne, C. (2023, June). Syntactic computation of Fagin-Halpern conditioning in possibility theory. In Proceedings of 24th International Conference on Logic for Programming, Artificial Intelligence and Reasoning (pp. 164-146).
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Revising Weighted Knowledge Bases Using FH-Conditioning
Published in ENIGMA workshop co-located with KR 2023, 2023
Extension of FH-conditioning to weighted knowledge bases for belief revision.
Recommended citation: Et-Targuy, O., Begdouri, A., Benferhat, S., & Delenne, C. (2023, September). Revising Weighted Knowledge Bases Using FH-Conditioning. In ENIGMA workshop co-located with the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR 2023).
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A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency
Published in International Conference on Intelligent Systems and Data Science (ISDS), 2023
Graph-based methodology for ensuring connectivity in wastewater network representations from GIS data.
Recommended citation: Et-Targuy, O., Begdouri, A., Benferhat, S., Delenne, C., Do, T. N., & Ma, T. T. (2023, October). A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency. In International Conference on Intelligent Systems and Data Science (pp. 243-257). Singapore: Springer Nature Singapore.
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From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements
Published in SN Computer Science, 2024
Graph-based approach for transforming GIS wastewater network representations into connected network structures.
Recommended citation: Et-Targuy, O., Delenne, C., Benferhat, S., Begdouri, A., Do, T. N., & Ma, T. T. (2024). From GIS to Graphical Representation for Maintaining Connectivity of Wastewater Network Elements. SN Computer Science, 5(7), 851.
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Dempster-Shafer theory for object matching under data imperfection constraints: Application to wastewater networks’ line matching
Published in Information Sciences, 2025
Application of Dempster-Shafer theory to wastewater network object matching under data imperfection.
Recommended citation: Belghaddar, Y., Begdouri, A., Chahinian, N., Seriai, A., Et-targuy, O., & Delenne, C. (2025). Dempster-Shafer theory for object matching under data imperfection constraints: Application to wastewater networks' line matching. Information Sciences, 122304.
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Analysis of the Syntactic Computation of Fagin-Halpern Conditioning in Possibilistic Logic
Published in International Journal of Approximate Reasoning, 2025
First complete syntactic formulation of FH-conditioning in possibility theory with efficient computational complexity.
Recommended citation: Et-Targuy, O., Benferhat, S., Delenne, C., Begdouri, A. (2025). Analysis of the Syntactic Computation of Fagin-Halpern Conditioning in Possibilistic Logic. International Journal of Approximate Reasoning.
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talks
Categorizing Data Imperfections for Object Matching in Wastewater Networks Using Belief Theory
Published:
Conference presentation on applying belief theory to categorize and handle various types of data imperfections in wastewater network object matching.
Catégorisation des imperfections des données pour l’appariement d’objets dans les réseaux d’eaux usées à l’aide de la théorie des croyances
Published:
Presentation on categorizing data imperfections for object matching in wastewater networks using belief theory, addressing challenges in handling uncertain and imperfect spatial data.
Wastewater Networks: Presentation of Multi-Source Data
Published:
Discussion on challenges in wastewater network data integration due to separate GIS databases. Proposal of a graph-based representation to improve connectivity modeling and data fusion for better network analysis.
A Graph-Based Approach for Representing Wastewater Networks from GIS Data: Ensuring Connectivity and Consistency
Published:
Conference presentation on developing a graph-based methodology to transform GIS wastewater network data into connected network structures, validated on real-world datasets.
Wastewater Networks: Heterogeneous Data and Graphical Representation
Published:
Presentation of a graph-based approach for wastewater network representation, addressing the limitations of traditional GIS models. This method enhances connectivity visualization by modeling network components as nodes and pipes as edges, resolving common connectivity issues in shapefile-based storage systems.
Graphs as Tools for Wastewater Network Representation: Benefits and Insights
Published:
Presentation on the benefits and insights of using graph-based approaches for wastewater network representation, addressing connectivity challenges in traditional GIS models.
Possibilistic Conditioning and Graph-Based Representation of Wastewater Networks
Published:
Overview of my PhD research covering possibilistic conditioning theory and its application to graph-based wastewater network representation, addressing both theoretical foundations and practical implementations.
teaching
Base de Données
Practical Sessions, Université Sidi Mohamed Ben Abdellah, Faculté des Sciences et Techniques, 2023
Level: Bachelor 1 (Licence 1) - Biology, Chemistry, Geology (BCG)
Hours: 72h (2023-2024)
Course Coordinator: Younes Dhassi
Language: SQL
Algorithmique 2
Practical Sessions, Université d'Artois, Faculté des Sciences Jean Perrin, 2024
Level: Bachelor 1 (Licence 1) - Mathematics and Computer Science
Hours: 24h (2022-2023), 24h (2024-2025)
Course Coordinator: Anne Parrain
Language: Python
Base de Données (L2)
Practical Sessions, Université d'Artois, Faculté des Sciences Jean Perrin, 2024
Level: Bachelor 2 (Licence 2) - Computer Science
Hours: 36h (2024-2025)
Course Coordinator: Karim Tabia
Language: SQL
Programmation Fonctionnelle
Practical Sessions, Université d'Artois, Faculté des Sciences Jean Perrin, 2024
Level: Bachelor 1 (Licence 1) - Mathematics and Computer Science
Hours: 24h (2022-2023), 24h (2024-2025)
Course Coordinator: Fabien Delorme
Language: Haskell