Abazari, S. R., Alisan, O., Vanli, O. A.,& Ozguven, E. E. (2024, May). Data-Driven Patient Allocation for Healthcare Facility Optimization Under Uncertainty with SIR Dynamics. In 2024 IISE Annual Conference and Expo. IISE.
Maleki, A., Hemmati, V., Abazari, S. R., Aghsami, A., & Rabbani, M. (2024). Optimal distribution and waste management of COVID-19 vaccines from vaccination centers’ satisfaction perspective–A fuzzy time window-based VRP. Transportation Research Part E: Logistics and Transportation Review, 183, 103454.
Abazari, S. R., Vanli, O. A., Alisan, O., & Ozguven, E. E. (2023). Understanding spatiotemporal variation of social vulnerabilities from longitudinal hurricane-pandemic data: A multilevel model of the Covid-19 pandemic during hurricane Sally in Florida. International Journal of Disaster Risk Reduction, 98, 104095
Koloushani, M., Abazari, S. R., Vanli, O. A., Ozguven, E. E., Moses, R., Giroux, R., & Jacobs, B. (2023), Determination of Optimal Spatial Sample Sizes for Fitting Negative Binomial-Based Crash Prediction Models with Consideration of Statistical Modeling Assumptions. Sustainability, 15(20), 14731.
Koloushani, M., Abazari, S.R., Khayamim, R., Vanli, O. A., Ozguven, E.E., Moses, R., Giroux, R., Jacobs, B. (2023) “Developing Economic Loss-Based Thresholds for Improving Context-Specific Crash Prediction Models”, Transportation Research Record, (Accepted Feb 2023).
Lotfi, A., Shakouri, M., Abazari, S.R., Aghsami, A. & Rabbani, M. (2023), "A multi-objective optimization for a closed-loop sustainable pharmaceutical supply chain network design: a case study", Journal of Advances in Management Research, Vol. ahead-of-print No. ahead-of-print. doi: https://doi.org/10.1108/JAMR-05-2022-0100
Aghsami, A., Abazari, S. R., Bakhshi, A., Yazdani, M. A., Jolai, S., & Jolai, F. (2023). A meta-heuristic optimization for a novel mathematical model for minimizing costs and maximizing donor satisfaction in blood supply chains with finite capacity queueing systems. Healthcare Analytics, 100136. doi: https://doi.org/10.1016/j.health.2023.100136
Mazloumi, R., Abazari, S. R., Nafarieh, F., Aghsami, A., & Jolai, F. (2022). Statistical analysis of blood characteristics of COVID-19 patients and their survival or death prediction using machine learning algorithms. Neural Computing and Applications , 1-15, doi: https://doi.org/10.1007/s00521-022-07325-y
Ahangar, S. S., Abazari, S. R., Rabbani, M.(2022). A region-based model for optimizing charging station location problem of electric vehicles considering disruption-A case study. Journal of Cleaner Production , 130433, doi: https://doi.org/10.1016/j.jclepro.2022.130433
Abazari, S. R., Jolai, F., Aghsami, A. (2021). Designing a humanitarian relief network considering governmental and non-governmental operations under uncertainty. International Journal of System Assurance Engineering and Management , 1-23, doi: https://doi.org/10.1007/s13198-021-01488-y
Abazari, S. R., Aghsami, A. Rabbani, M. (2021). Prepositioning and distributing relief items in humanitarian logistics with uncertain parameters. Socio-Economic Planning Sciences , 74, 100933, doi: https://doi.org/10.1016/j.seps.2020.1009