  | KHALEDIAN, N., Razzaghzadeh, S., Haghbayan, Z., & VÖLP, M. (2025). Hybrid Markov chain-based dynamic scheduling to improve load balancing performance in fog-cloud environment. Sustainable Computing: Informatics and Systems, 45, 101077. doi:10.1016/j.suscom.2024.101077  Peer reviewed |
 | Ghorbani, M., KHALEDIAN, N., & Moazzami, S. (2025). ALBLA: an adaptive load balancing approach in edge-cloud networks utilizing learning automata. Computing, 107 (1). doi:10.1007/s00607-024-01380-0 Peer Reviewed verified by ORBi |
 | KHALEDIAN, N., Nazari, A., & Barkhan, M. (2025). CFCAI: improving collaborative filtering for solving cold start issues with clustering technique in the recommender systems. Multimedia Tools and Applications. doi:10.1007/s11042-024-20579-z Peer Reviewed verified by ORBi |
 | Abbasi, S., KHALEDIAN, N., & Rahmani, A. M. (05 July 2024). Trust management in the internet of vehicles: a systematic literature review of blockchain integration. International Journal of Information Security, 23 (4), 3065 - 3088. doi:10.1007/s10207-024-00878-0 Peer Reviewed verified by ORBi |
 | Kosari, S., Hosseini Shirvani, M., KHALEDIAN, N., & Javaheri, D. (10 May 2024). A Hybrid Discrete Grey Wolf Optimization Algorithm Imbalance-ness Aware for Solving Two-dimensional Bin-packing Problems. Journal of Grid Computing, 22 (2). doi:10.1007/s10723-024-09761-7 Peer Reviewed verified by ORBi |
 | KHALEDIAN, N., VÖLP, M., Azizi, S., & Shirvani, M. H. (2024). AI-based & heuristic workflow scheduling in cloud and fog computing: a systematic review. Cluster Computing. doi:10.1007/s10586-024-04442-2 Peer Reviewed verified by ORBi |
 | Shahmirzadi, D., KHALEDIAN, N., & Rahmani, A. M. (2024). Analyzing the impact of various parameters on job scheduling in the Google cluster dataset. Cluster Computing. doi:10.1007/s10586-024-04377-8 Peer Reviewed verified by ORBi |
  | Akraminejad, R., KHALEDIAN, N., Nazari, A., & VÖLP, M. (2024). A multi-objective crow search algorithm for optimizing makespan and costs in scientific cloud workflows (CSAMOMC). Computing. doi:10.1007/s00607-024-01263-4 Peer Reviewed verified by ORBi |
 | KHALEDIAN, N.* , Nazari, A., Khamforoosh, K., Abualigah, L., & Javaheri, D. (15 October 2023). TrustDL: Use of trust-based dictionary learning to facilitate recommendation in social networks. Expert Systems with Applications, 228, 120487. doi:10.1016/j.eswa.2023.120487 Peer Reviewed verified by ORBi |
 | KHALEDIAN, N.* , Khamforoosh, K., Azizi, S., & Maihami, V. (2023). IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment. Sustainable Computing: Informatics and Systems, 37, 100834. doi:10.1016/j.suscom.2022.100834 Peer reviewed |
 | KHALEDIAN, N.* , Khamforoosh, K., Akraminejad, R., Abualigah, L., & Javaheri, D. (2023). An energy-efficient and deadline-aware workflow scheduling algorithm in the fog and cloud environment. Computing. doi:10.1007/s00607-023-01215-4 Peer Reviewed verified by ORBi |
 | KHALEDIAN, N.* , & Mardukhi, F. (May 2022). CFMT: a collaborative filtering approach based on the nonnegative matrix factorization technique and trust relationships. Journal of Ambient Intelligence and Humanized Computing, 13 (5), 2667 - 2683. doi:10.1007/s12652-021-03368-6 Peer Reviewed verified by ORBi |
