Education Background
- Ph.D. in Industrial & Systems Engineering – University of Missouri-Columbia
Courses Taught
- SB381: Logistics Management
- OM476: Management of Technology
- OM676: Developing & Managing Technology
- SB681: Logistics Strategy
Research Interests
Current research interests focus on the location planning of emerging logistics and transportation infrastructures such as drone delivery networks and urban air mobility (air taxis), as well as last-mile delivery planning for delay-sensitive goods such as medical supplies.
Publications
Raad, N. G., Rajendran, S., Srinivas, S., Khowal, A., Abam, B., & Lewis, E. (2025). Hybrid and distributionally robust optimization approaches for hospital blood bank inventory management under demand uncertainty. Journal of the Operational Research Society, 1–24.
Raad, N. G., & Rajendran, S. (2024). A hybrid robust SBM-DEA, multiple regression, and MCDM-GIS model for airport site selection: Case study of Sistan and Baluchestan Province, Iran. Transportation Engineering, 16, 100235.
Raad, N. G., & Rajendran, S. (2024). A hybrid scenario-based fuzzy stochastic model for closed-loop dry port network design with multiple robustness measures. Transportation Research Part E: Logistics and Transportation Review, 183, 103417.
Raad, N. G., Swain, C., Ayantayo, A., Yang, B., & Rajendran, S. (2024). Hybrid regret-based p-robust and distributionally robust optimization models for electric vehicle charging station network design. Computers & Industrial Engineering, 198, 110709.
Wood, R., Raad, N. G., & Srinivas, S. (2024). A Simulation-Based Approach to Enhancing Preparedness and Reducing Traffic Risk at the Port of Anchorage. 2024 IISE Annual Conference and Expo.
Raad, N. G., Rajendran, S., & Salimi, S. (2022). A novel three-stage fuzzy GIS-MCDA approach to the dry port site selection problem: A case study of Shahid Rajaei Port in Iran. Computers & Industrial Engineering, 168, 108112.
Golghamat Raad, N., & Akbarpour Shirazi, M. (2020). A hybrid framework for ranking the knowledge management solutions adoption in supply chains. VINE Journal of Information and Knowledge Management Systems, 50(1), 1–19.