Gbadegoye, J., Camur, M. C., & Li, X. (2025). A Two-Stage Stochastic Model for Road-Rail Intermodal Freight Transportation Under Demand and Capacity Uncertainty. Forthcoming in International Journal of Transportation Science and Technology [paper]
Rahimitouranposhti, M., Sharma, B., Camur, M. C., Omitaomu, O. A., & Li, X. (2025). Investigating Resiliency of Transportation Network Under Targeted and Potential Climate Change Disruptions. Forthcoming in Transportation Research Record: Journal of the Transportation Research Board [paper]
Camur, M.C., Vogiatzis, C . A Survey on Optimization Studies of Group Centrality Metrics, Networks 84, no. 4 (2024): 491-508 [paper]
Tupayachi, J., Xu, H., Omitaomu, O. A., Camur, M. C., Sharmin, A., & Li, X.. (2024) Towards Next-Generation Urban Decision Support Systems through AI-Powered Generation of Scientific Ontology using Large Language Models -- A Case in Optimizing Intermodal Freight Transportation , Smart Cities, 7(5), 2392-2421. [paper]
Camur, M.C., Bollapragada, S., Aristotelis, T., Dulgeroglu, O., & Gemici- Ozkan, B.. An Optimization Framework for Efficient and Sustainable Logistics Operations via Transportation Mode Optimization and Shipment Consolidation: A Case Study for GE Gas Power Expert Systems with Applications, 253:124304, 2024 [paper]
Camur, M.C., Ravi, S.K., and Saleh, S. Enhancing Supply Chain Resilience: A Machine Learning Approach to Product Availability Date Prediction Under Disruption Expert Systems with Applications, page 123226, 2024 [paper]
Camur, M.C., Sharkey, T.C. & Vogiatzis, C. The Stochastic Pseudo-Star Degree Centrality Problem. European Journal of Operational Research , 308(2), 525-539, 2023. [code & data][paper]
Camur, M.C., Sharkey, T.C. & Vogiatzis, C. The Star Degree Centrality Problem: A Decomposition Approach. INFORMS Journal on Computing, 34(1), 93-112, 2022. [code & data] [paper]
Camur, M.C., Sharkey, T. C., Dorsey, C., Grabowski, M. R., and Wallace, W. A. Optimizing the response for Arctic mass rescue events. Transportation Research Part E: Logistics and Transportation Review, 152:102368, 2021. [code & data] [paper]
Vogiatzis, C., & Camur, M.C.. Identification of essential proteins using induced stars in protein–protein interaction networks. INFORMS Journal on Computing, 31(4), 703-718, 2019. [code & data] [paper]
Reynolds, E., Nezamoddini, N., Camur, M. C., & Li, X. (2025). Impact of battery electric trucks on intermodal freight transportation: An agent-based simulation study. Forthcoming in 2025 Winter Simulation Conference.
Rattanakunuprakarn S., Jin M., Camur M.C., and Li X. Assessing the Effects of Container Handling Strategies on Enhancing Freight Throughput In 2024 Winter Simulation Conference (WSC) (pp. 170-181). IEEE. [paper]
Camur M.C., Sharkey, T.C. and Ismael, A. Infrastructure Investments for Improving Arctic Emergency Response across Multiple Man-Made Hazards (Proceedings of the Industrial and Systems Engineering Research Conference Montreal, Canada, 2024)
Sayan Ghosh, Brett A. Matthews, Mustafa C. Camur, Saikat Ray Majumder, Zhihui Yang, Lembit Salasoo, Jerrold Cline, George T. Dalakos, V Perez, Kmk Genghis Khan, Roger Teoh and Marc Stettler. Climate Impact of Contrails from an Aircraft Fleet-Level Perspective . In AIAA SCITECH 2024 Forum (p. 1369)
Camur, M. C., Thanos, A. E., Yund, W., Tseng, C. Y., White, C. C., & Iakovou, E. An integrated system dynamics and discrete event supply chain simulation framework for supply chain resilience with non-stationary pandemic demand. In 2023 Winter Simulation Conference (WSC) (pp. 1617-1628). IEEE. [paper]