Aymen Ben Said

Postdoctoral Fellow

Contact Info

Research Areas: Vehicle Routing, Constraint Programming, Combinatorial Optimization, Data Mining, Scheduling, Constraints Satisfaction, Machine Learning

Personal website

Google Scholar

ORCID

Back to Directory

Post-doctoral Fellow in Data Science and Data Analytics, University of Regina (2024-present)

Education

PhD in Computer Science, University of Regina
MSc in Computer Science, University of Regina

Selected Publications

A. Ben Said, E. A. Mohammed and M. Mouhoub. An Implicit Learning Approach for Solving the Nurse Scheduling Problem. In: Mantoro, T., Lee, M., Ayu, M.A., Wong, K.W., Hidayanto, A.N. (eds) Neural Information Processing. ICONIP 2021. Lecture Notes in Computer Science(), vol 13109. Springer, Cham.
A. Ben Said and M. Mouhoub, ”A Constraint Satisfaction Problem (CSP) Approach for the Nurse Scheduling Problem,” 2022 IEEE Symposium Series on Computational Intelligence (SSCI), Singapore, Singapore, 2022, pp. 790-795, doi: 10.1109/SSCI51031.2022.10022250.
M. Sadeghilalimi, M. Mouhoub, and A. Ben Said. Evolutionary Techniques for the Nurse Scheduling Problem. The 13th International Conference on Operations Research and Enterprise Systems (ICORES 2023), pages 333-340, Rome, February 24-26, 2024. (Nominated for Best Poster Award).
M. Sadeghi, M. Mouhoub and A. Ben Said . Solving the Nurse Scheduling Problem Using the Whale Optimization Algorithm. The International Conference in Optimization and Learning (OLA2023), Communications in Computer and Information Science, vol 1824, pages 62-73, Springer, Cham, https://doi.org/10.1007/978-3-031-34020-8 5, Malaga, May 3-5, 2023.
M. Sadeghilalimi, M. Mouhoub, H. Zaidi, and A. Ben Said. Solving the Electricity Technician Dispatch Problem. The IEEE 2023 International Conference on Machine Learning and Applications (ICMLA 2023), pages 23-30, Jacksonville, FL, USA, December 15-17, 2023.