INSEA

Institut National de Statistique et d'Economie Appliquée

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Laboratoire SI2M

Intitulé du laboratoire : Laboratoire de Recherche en Systèmes d’Information, Systèmes Intelligents et Modélisation Mathématique (= Laboratory for Research in Information Systems, Intelligent Systems and Mathematical Modeling)

Responsable du laboratoire :

Prénom et Nom : Ahmed Doghmi

Grade : Full Professor

Spécialités : Games Theory, Mechanism Design, Mathematics of Politics, Democracy, and Social Choice, Mathematical Economics.

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Acronyme du laboratoire : SI2M

Domaines de recherche : Information Systems, Intelligent Systems, Artificial Intelligence, Network and Systems Security, Operation Research, DecisionMaking, Games Theory, Social Choice Theory, Politics and Democracy, Mathematical Modeling.

Disciplines : Computer Science, Artificial Intelligence, Applied Mathematics.

Mots clés définissant le champ de recherche du Laboratoire : knowledge representation, ontologies, knowledge base, conceptual graph theory, decisionmaking, non-cooperative games, cooperative games, social choice, politics, democracy, economics, reasoning, learning, expert systems, case-based systems, natural language processing, Prolog language, multi-agent systems, intelligent systems, combinatorial optimization, constraint programming, constraint satisfaction problems, constraint optimization problems, constraint acquisition, distributed systems, information system, business process engineering, BPM approach, service engineering, architectures SOA, design patterns, model-driven engineering, requirements engineering, BPMN, UML, variability, ubiquitous systems, context sensitivity, cloud computing, urbanization, EAI, strategic alignment.

 

 

 

Publications du Laboratoire SI2M

  • Abouzid, I., Bekali, Y. K., & Saidi, R. (2022). Modelling IoT Behaviour in Supply Chain Business Processes with BPMN : A Systematic Literature Review. Journal of ICT Standardization, 439‑468. https://doi.org/10.13052/jicts2245-800X.1035
  • Abouzid, I., & Saidi, R. (2019). Proposal of BPMN extensions for modelling manufacturing processes. 2019 5th International Conference on Optimization and Applications (ICOA), 1‑6. https://doi.org/10.1109/ICOA.2019.8727651
  • Abouzid, I., & Saidi, R. (2021). Modeling the Use of RFID Technology in Smart Processes. In M. Ben Ahmed, İ. Rakıp Karaș, D. Santos, O. Sergeyeva, & A. A. Boudhir (Éds.), Innovations in Smart Cities Applications Volume 4 (p. 758‑769). Springer International Publishing. https://doi.org/10.1007/978-3-030-66840-2_57
  • Abouzid, I., & Saidi, R. (2023). Digital twin implementation approach in supply chain processes. Scientific African, 21, e01821. https://doi.org/10.1016/j.sciaf.2023.e01821
  • El Annas, M., Benyacoub, B. & Ouzineb, M. Semi-supervised adapted HMMs for P2P credit scoring systems with reject inference. Comput Stat 38, 149–169 (2023). https://doi.org/10.1007/s00180-022-01220-9
  • El annas, M., Ouzineb, M., & Benyacoub, B. (2022). Hidden Markov Models Training Using Hybrid Baum Welch - Variable Neighborhood Search Algorithm. Statistics, Optimization & Information Computing, 10(1), 160-170. https://doi.org/10.19139/soic-2310-5070-1213
  • El Annas, M., Ouzineb, M., Benyacoub, B. (2020). A Variable Neighborhood Search Algorithmic Approach for Estimating MDHMM Parameters and Application in Credit Risk Evaluation for Online Peer-to-Peer (P2P) Lending. In: Benmansour, R., Sifaleras, A., Mladenović, N. (eds) Variable Neighborhood Search. ICVNS 2019. Lecture Notes in Computer Science(), vol 12010. Springer, Cham. https://doi.org/10.1007/978-3-030-44932-2_10
  • Monir, E.A., Ouzineb, M., Benyacoub, B. (2020). Multi Dimensional Hidden Markov Model for Credit Scoring Systems in Peer-To-Peer (P2P) Lending. In: Farhaoui, Y. (eds) Big Data and Networks Technologies. BDNT 2019. Lecture Notes in Networks and Systems, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-030-23672-4_7
  • Bazirha, M., Kadrani, A. & Benmansour, R. Stochastic home health care routing and scheduling problem with multiple synchronized services. Ann Oper Res 320, 573–601 (2023). https://doi.org/10.1007/s10479-021-04222-w
  • Bazirha, M., Kadrani, A., Benmansour, R. (2020). Daily Scheduling and Routing of Home Health Care with Multiple Availability Periods of Patients. In: Benmansour, R., Sifaleras, A., Mladenović, N. (eds) Variable Neighborhood Search. ICVNS 2019. Lecture Notes in Computer Science(), vol 12010. Springer, Cham. https://doi.org/10.1007/978-3-030-44932-2_13
  • M. Bazirha, A. Kadrani and R. Benmansour, "Scheduling Optimization of the Home Health Care Problem with Stochastic Travel and Care Times," 2020 5th International Conference on Logistics Operations Management (GOL), Rabat, Morocco, 2020, pp. 1-8, doi: 10.1109/GOL49479.2020.9314717
  • Bazirha, M., Kadrani, A., & Benmansour, R. (2022). Optimization of the Stochastic Home Health Care Routing and Scheduling Problem with Multiple Hard Time Windows. International Journal of Supply and Operations Management, 9(2), 235-250. doi: 10.22034/ijsom.2021.109079.2170
  • Dahite, L., Kadrani, A., Benmansour, R., Guibadj, R.N., Fonlupt, C. Multi-Objective Model and Variable Neighborhood Search Algorithms for the Joint Maintenance Scheduling and Workforce Routing Problem. Mathematics 2022, 10, 1807. https://doi.org/10.3390/math10111807
  • Dahite L. Guibadj R. N., Fonlupt C., Kadrani A ., Benmansour R. (2021, May). A Semi Adaptive Large Neighborhood Search for the Maintenance Scheduling and Routing Problem. In 2021 7th International Conference on Optimization and Applications (ICOA) (pp. 1-6). IEEE. DOI: 10.1109/ICOA51614.2021.9442627, https://ieeexplore.ieee.org/document/9442627
  • Dahite L., Kadrani A ., Benmansour R. ,Guibadj R. N., Fonlupt C. (2020). Optimization of Maintenance Planning and Routing Problem. In: Benmansour R., Sifaleras A., Mladenović N. (eds) Variable Neighborhood Search. ICVNS 2019. Lecture Notes in Computer Science, vol 12010.Springer, Cham. DOI:10.1007/978-3-030-44932-2_7 , https://link.springer.com/chapter/10.1007/978-3-030-44932-2_ 7
  • Dahite L., Kadrani A ., Benmansour R. (2018). Optimization models for train load and transport planning problems. MATEC Web of Conferences, vol 200, no 00010. EDP Sciences. https://doi.org/10.1051/mat e cconf/201820000010