Research interest:
Linear Programming (Modelling and solving)
Constraints Programming (Modeling, search, global constraints)
Metaheuristics (Local search, search strategies, hybridization, parallelism)
Pattern mining (itemset mining, interval pattern mining, pattern set mining)
An overview about my current research:
I am working on new approaches to carry Data Mining (DM) tasks such as clustering under constraints and classification, where a user can use additional knowledge to guide the search process. This field requires the development of hybrid methods ranging from Operation Research (OR), Constraints Programming (CP), and dedicated DM methods.
I am also working on the development of new variants for the Variable Neighborhood Search (VNS) method to solve Weighted Constraint Satisfaction Problems (WCSP). I am interested in the design of parallel hybrid methods which combine local and complete search while maintaining a tradeoff between time and quality.
Participations to International Program Committees:
PC member of AAAI (Conference on Artificial Intelligence): 2021, 2023, 2024
PC member of IJCAI (International Joint Conference on Artificial Intelligence): 2020, 2023.
PC member of ECAI (European Conference on Artificial Intelligence): 2023.
PC member of ECML-PKDD (European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases) 2022, 2023.
Participations to French National Program Committees:
PC member of JFPC (Journées Francophones de Programmation par Contraintes): 2021->2023.
PC member of RJCIA (Rencontres des Jeunes Chercheurs en Intelligence Artificielle): 2019.
Below is a list of my publications:
Journals:
A. Ouali, D. Allouche, S. De Givry, S. Loudni, Y. Lebbah and L. Loukil, Variable Neighborhood Search for Graphical Model Energy Minimization, Artificial Intelligence Journal (AIJ), Vol. 278, 2020. (Link)
Bennai, S., Amroun, K., Loudni, S., A Ouali. An efficient heuristic approach combining maximal itemsets and area measure for compressing voluminous table constraints. J Supercomput (2022). (Link)
H. Rehioui, B. Cuissart, A. Ouali, A. Lepailleur, J-L Lamotte, R. Bureau, A. Zimmermann, New pharmacophore fingerprints and Weight‐Matrix Learning for virtual screening. Application to Bcr‐Abl data. Journal of Molecular Informatics, 2022. (Link)
A. Ouali, S. Loudni, L. Loukil, P. Boizumault, and Y. Lebbah. Replicated Parallel Strategies for Decomposition Guided VNS. Electronic Notes in Discrete Mathematics (ENDM), Volume 47, pages 93–100, 2015. (Link)
S. Boukli-Hacene, A. Ouali and A. Bassou Predictive preemptive certificate transfer in Cluster-Based Certificate Chain. International Journal of Communication Networks and Information Security (IJCNIS). vol. 6(1), pages 1–8, 2014. (PDF)
International Conferences:
A. Hien, S. Loudni, N. Aribi, A. Ouali, A. Zimmermann: Interactive Pattern Mining Using Discriminant Sub-patterns as Dynamic Features. PAKDD (1) 2023: 252-263, Osaka, Japan.
Etienne Lehembre, Ronan Bureau, Bruno Crémilleux, Bertrand Cuissart, Jean Luc Lamotte, Alban Lepailleur, Abdelkader Ouali, Albrecht Zimmermann: Selecting Outstanding Patterns Based on Their Neighbourhood. IDA 2022: 185-198.
A. Hien, S.Loudni, N. Aribi, Y. Lebbah, M. E. A. Laghzaoui1, A. Ouali, and A. Zimmermann, A Relaxation-based Approach for Mining Diverse Closed Patterns, ECML-PKDD, 2020. (Link)
A. Nourredine, A. Ouali, Y. Lebbah and S. Loudni. Equitable Conceptual Clustering using OWA operator. In 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’18), pages 1-12, Australia. (PDF)
A. Ouali, D. Allouche, S. de Givry, S. Loudni, Y. Lebbah and L. Loukil. , Iterative Decomposition Guided Variable Neighborhood Search for Graphical Model Energy Minimization. In The 33rd Conference on Uncertainty in Artificial Intelligence (UAI) 2017, Sydney, pages 1–14, August 12-16, 2017, Australia. (PDF)
A. Ouali, A. Zimmermann, S. Loudni, Y. Lebbah, B. Crémilleux, P. Boizumault, L. Loukil. Integer Linear Programming for Pattern Set Mining; with an Application to Tiling. In The 21st Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’17), pages 1–12, May 23-26, 2017, Jeju, South Korea. (PDF)
A. Ouali, S. Loudni, Y. Lebbah, P. Boizumault, A. Zimmermann and L. Loukil. Efficiently Finding Conceptual Clustering Models with Integer Linear Programming. In 25th International Joint Conference on Artificial Intelligence (IJCAI’16), pages 1–7, New York, USA, July 2016. (PDF)
A. Ouali, S. Loudni, L. Loukil, P. Boizumault, and Y. Lebbah. Replicated Parallel Strategies for Decomposition Guided VNS. In 3rd International Conference on Variable Neighborhood Search (VNS’14), Djerba, Tunisia, September 2014. (Article selected for special issue VNS’14 published in the journal Electronic Notes in Discrete Mathematics). (PDF)
A. Ouali, S. Loudni, L. Loukil, P. Boizumault, and Y. Lebbah. Cooperative parallel decomposition guided VNS for solving Weighted CSP. In 9th Int. Workshop on Hybrid MetaHeuristics (HM’14), volume 8457 of LNCS, pages 100–114, Hamburg, Germany, June 2014.
National conferences:
D. Bekkoucha, A. Ouali, J. Reynaud, B. Cremilleux, P. Boizumault and A. Beauchamp : Extraction de Motifs d'Intervalles Fermés en utilisant la Programmation Par Contraintes, JFPC 2023, Strasbourg, France.
A. Hien, S. Loudni, N. Aribi, Y. Lebbah, A. Laghzaoui, A. Ouali, A. Zimmermann, Approche basée sur la Relaxation pour la Fouille de Motifs Fermés et Diversifiés. JFPC 2021, Nice, France. Link
A. Hien, S. Loudni, N. Aribi, Y. Lebbah, A. Laghzaoui, A. Ouali, A. Zimmermann, Fouille de Motifs Fermés et Diversifiés Basée sur la Relaxation. CIFSD 2021, Marseille, France. Link
N. Aribi, A. Ouali, S. Loudni et Y. Lebbah Utiliation de l’opérateur OWA pour le clustering conceptuel équitable. Dans 14-èmes Journées Francophones de Programmation par Contraintes (JFPC’16), pages 1-10, Amiens, Juin 2018.
A. Ouali, D. Allouche, S. de Givry, S. Loudni, Y. Lebbah, F. Eckhardt, L. Loukil : VNS itératif guidé par la décomposition arborescente pour la minimisation d’énergie dans les modèles graphiques. JFPC’18, Amiens, Juin 2018.
A. Ouali, D. Allouche, S. de Givry, S. Loudni, Y. Lebbah, F. Eckhardt, et L. Loukil. Recherche complète à voisinages variables guidée par la décomposition arborescente pour la minimisation d’énergie dans les modèles graphiques. Dans 9-èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes , pages 1-2, Toulouse, Juin 2018.
A. Ouali, S. Loudni, Y. Lebbah, P. Boizumault, A. Zimmermann et L. Loukil. Clustering conceptuel en PLNE. In 12-èmes Journées Francophones de Programmation par Contraintes (JFPC’16), pages 1-10, Montpellier, Juin 2016.
A. Ouali, S. Loudni, L. Loukil, et Y. Lebbah. Une approche parallèle coopérative exploitant la décomposition arborescente dans VNS. In 11ème Colloque sur l’Optimisation et les Systèmes d’Information (COSI’14), pages 1-12, Béjaia, Algérie, Juin 2014.
Thesis manuscript and book chapters:
Boizumault, P., de Givry, S., Loudni, S, Ouali, A., Variable Neighborhood Search for Cost Function Networks, Handbook of Formal Optimization Methods, 2023. (Link)
D. Allouche, S. Barbe, S. de Givry, G. Katsirelos, Y. Lebbah, S. Loudni, A. Ouali, T. Schiex , D. Simoncini, and M. Zytnicki. Cost Function Networks to Solve Large Computational Protein Design Problems. Chapter in Book, Operation Research for Healthcare 2019. (PDF)
Abdelkader Ouali, Méthodes hybrides parallèles pour la résolution de problèmes d'optimisation combinatoire : application au clustering sous contraintes. (Parallel hybrid methods for solving combinatorial optimization problems : application to clustering under constraints). Normandy University, France, 2017. (PDF)
Presentation and seminars :
10h-11h : Programmation linéaire pour l'extraction d'ensembles de motifs et leur application. (Abdelkader Ouali), 5ème Journée CAVIAR : Date : Mardi 30 Novembre 2021 Lieu : LIRMM - Bat5-01.124, Montpellier.