+213 48 749 452
COVID-19
+213 48 749 452
COVID-19

LOUHAB Zouaoui

Maître assisstant

Structure de rattachement

  • ESI SBA - Ecole Supèrieure en Informatique de Sidi Bel Abbès

Lines of research

  • Algorithms, Big Data, Artificial Intelligence

Enseignements

2025-2026:
Semestre 1 :

  • FILE STRUCTURE AND DATA STRUCTURE (2CPI)

Publications

Publications Internationales (Revues, Journaux& Livres)

  • Louhab, Z., Boufera, F., & Debbat, F. (2025). An Approach Based on Coloured Petri Net and NSGA-II to Improve the Emergency Department. Computing and Informatics, 44(3), 745–764. https://doi.org/10.31577/cai_2025_3_745
  • Louhab, Z., & Boufera, F. (2024). A Coloured Petri Net-based approach and Genetic Algorithms for improving services in the Emergency Department. Computer Science Journal of Moldova, 32(1(94)), 113–131. https://doi.org/10.56415/csjm.v32.07
  • Louhab, Z., & Boufera, F. (2022). Modelling and Simulation of Patient Flow in the Emergency Department During the COVID-19 Pandemic Using Hierarchical Coloured Petri Net. International Journal of Open Source Software and Processes, 13(1), 1–15. https://doi.org/10.4018/ijossp.308790

Publications Nationales (Revues, Journaux& Livres)

Communications Internationales

  • Louhab, Z., & Boufera, F. (2025). Optimizing Human Resource Allocation in Emergency Departments: A Combined R-NSGA-III and Colored Petri Nets Approach.The 2nd International Conference on Artificial Intelligence: Theories and Applications (ICAITA25).
  • Louhab, Z., & Boufera, F. (2025). Improving Emergency Department Operations: A MOPSO and Colored Petri Nets Approach to Resource Allocation. FOURTH INTERNATIONAL CONFERENCE ON Smart Systems and Innovative Technologies ICOSSIT 2025.
  • Louhab, Z., & Boufera, F. (2024). Improving Patient Flow in the Emergency Rooms using Coloured Petri Nets and the ACO Algorithm. 3rd International Conference on Smart Systems and Innovative Technologies ICOSSIT 2024.
  • Louhab, Z., & Boufera, F. (2023). A Novel Approach based on PSO and Coloured Petri Net for improving Services in the Emergency Department. 2nd International Conference on Smart Systems and Innovative Technologies ICOSSIT 2023.

Communications nationales

  1. Dif, N., & Elberrichi, Z. (2019). A new intra fine-tuning method between histopathological datasets in deep learning. Journée doctorale de faculté des sciences exactes (JDFSE).
  2. Dif, N., & Elberrichi, Z. (2019). How transferable are features between histopathological datasets. Ateliers SACONET.

Responsabilités

  • /

Parcours

PARCOURS ACADÉMIQUE:

  • Doctorate LMD, computer science specialty. Department of Computer Science at the University of Mustapha Stambouli Mascara, Algeria.

  • Master degree in Networks and Distributed Systems from the University of Mascara, Algeria.2016

  • State engineer in computer science, DjillaliLiabès University (UDL), Sidi-Bel-Abbès. 2008
  • Baccalaureate in natural and life sciences, hocini hocine school, Sidi Bel Abbes. 2003

PARCOURS PROFESSIONNEL: