Junayed Pasha

Junayed Pasha is an Assistant Professor in the Industrial and Robotics Engineering Program within the Biomedical, Industrial, and Systems Engineering Department at Gannon University. Prior to joining Gannon University, he served as a Postdoctoral Research Associate in the Department of Civil and Environmental Engineering at the Florida A&M University–Florida State University College of Engineering. He has served as Program Director and Assessment Coordinator for the ABET accreditation of the Industrial and Robotics Engineering Program.

Dr. Pasha’s research core lies in operations research, transportation, and supply chain management. His work addresses applied problems across a diverse set of areas, including freight transportation and logistics, infrastructure safety, disaster risk management, sustainable and resilient supply chains, and deployment of automation and emerging technologies, using optimization- and simulation-based methods. His research has been supported by agencies, such as the National Science Foundation, U.S. Department of Transportation, Florida Department of Transportation, Pennsylvania Department of Labor and Industry, etc. He has authored more than 50 peer-reviewed journal and conference publications, and his work has been featured in national and international media outlets, including The Wall Street Journal.

Dr. Pasha has interdisciplinary teaching experience across industrial engineering, civil engineering, and business disciplines. He is actively engaged in student mentoring and cross-disciplinary research collaborations. He is also involved in several professional organizations, including the Institute for Operations Research and the Management Sciences (INFORMS), Institute of Industrial and Systems Engineers (IISE), Transportation Research Board (TRB), Institute of Transportation Engineers (ITE), American Society of Civil Engineers (ASCE), and American Society for Engineering Education (ASEE).

Courses Taught

IE 201: Engineering Projects and Economics
IE 320: Engineering Statistics
IE 350: Operations Research 1
IE 420: Supply Chain & Logistics Engineering
IE 430: Lean Systems
IE 450: Simulation
IE 475: Robotics 1
IE 476: Robotics 2
IE 477: Statistical Applications with Programming
GBME 577: Statistical Applications with Programming
GENG 592: Autonomous Vehicles
GMBA 641: Operations and Supply Chain Management

Educational History

Doctor of Philosophy, Civil Engineering (Operations Research and Transportation), Florida State University, 2020
Master of Engineering, Civil Engineering (Operations Research and Transportation), Florida State University, 2019
Bachelor of Science, Civil Engineering, Khulna University of Engineering & Technology, 2015

Publications

Journal Publications:

Pasha, J., Dulebenets, M.A., Fathollahi-Fard, A.M., Tian, G., Lau, Y.Y., Singh, P., & Liang, B., 2021. An Integrated Optimization Method for Tactical-Level Planning in Liner Shipping with Heterogeneous Ship Fleet and Environmental Considerations. Advanced Engineering Informatics, Elsevier, Vol. 48, Article 101299. DOI: 10.1016/j.aei.2021.101299.

Pasha, J., Dulebenets, M.A., Singh, P., Moses, R., Sobanjo, J., & Ozguven, E.E., 2021. Towards Improving Sustainability of Rail Transport by Reducing Traffic Delays at Level Crossings: A Case Study for the State of Florida. Cleaner Logistics and Supply Chain, Elsevier, Vol. 1, Article 100001. DOI: 10.1016/j.clscn.2021.100001.

Dulebenets, M.A., Pasha, J., Abioye, O.F., & Kavoosi, M., 2021. Vessel Scheduling in Liner Shipping: A Critical Literature Review and Future Research Needs. Flexible Services and Manufacturing Journal, Springer, Vol. 33 (1), pp. 43-106. DOI: 10.1007/s10696-019-09367-2.

Singh, P., Pasha, J., Khorram-Manesh, A., Goniewicz, K., Roshani, A., & Dulebenets, M.A., 2021. A Holistic Analysis of Train-Vehicle Accidents at Highway-Rail Grade Crossings in Florida. Sustainability, MDPI, Vol. 13 (16), Article 8842. DOI: 10.3390/su13168842.

Theophilus, O., Dulebenets, M.A., Pasha, J., Lau, Y.Y., Fathollahi-Fard, A.M., & Mazaheri, A., 2021. Truck Scheduling Optimization at a Cold-Chain Cross-Docking Terminal with Product Perishability Considerations. Computers & Industrial Engineering, Elsevier, Vol. 156, Article 107240. DOI: 10.1016/j.cie.2021.107240.

Singh, P., Dulebenets, M.A., Pasha, J., Santibanez Gonzalez, E.D.R., Lau, Y.Y., & Kampmann, R., 2021. Deployment of Autonomous Trains in Rail Transportation: Current Trends and Existing Challenges. IEEE Access, IEEE, Vol. 9, pp. 91427-91461. DOI: 10.1109/ACCESS.2021.3091550.

Abioye, O.F., Dulebenets, M.A., Kavoosi, M., Pasha, J., & Theophilus, O., 2021. Vessel Schedule Recovery in Liner Shipping: Modeling Alternative Recovery Options. IEEE Transactions on Intelligent Transportation Systems, IEEE, Vol. 22 (10), pp. 6420-6434. DOI: 10.1109/TITS.2020.2992120.

Pasha, J., Dulebenets, M.A., Kavoosi, M., Abioye, O.F., Wang, H., & Guo, W., 2020. An Optimization Model and Solution Algorithms for the Vehicle Routing Problem with a “Factory-in-a-Box”. IEEE Access, IEEE, Vol. 8, pp. 134743-134763. DOI: 10.1109/ACCESS.2020.3010176.

Pasha, J., Dulebenets, M.A., Abioye, O.F., Kavoosi, M., Moses, R., Sobanjo, J., & Ozguven, E.E., 2020. A Comprehensive Assessment of the Existing Accident and Hazard Prediction Models for the Highway-Rail Grade Crossings in the State of Florida. Sustainability, MDPI, Vol. 12 (10), pp. 1-27. DOI: 10.3390/su12104291.

Pasha, J., Dulebenets, M.A., Kavoosi, M., Abioye, O.F., Theophilus, O., Wang, H., Kampmann, R., & Guo, W., 2020. Holistic Tactical-Level Planning in Liner Shipping: An Exact Optimization Approach. Journal of Shipping and Trade, Springer, Vol. 5, pp. 1-35. DOI: 10.1186/s41072-020-00060-4.

Dulebenets, M.A., Pasha, J., Kavoosi, M., Abioye, O.F., Ozguven, E.E., Moses, R., Boot, W.R., & Sando, T, 2020. Multiobjective Optimization Model for Emergency Evacuation Planning in Geographical Locations with Vulnerable Population Groups. Journal of Management in Engineering, ASCE, Vol. 36 (2), pp. 1-17. DOI: 10.1061/(ASCE)ME.1943-5479.0000730.

Abioye, O.F., Dulebenets, M.A., Pasha, J., Kavoosi, M., Moses, R., Sobanjo, J., & Ozguven, E.E., 2020. Accident and hazard prediction models for highway-rail grade crossings: a state-of-the-practice review for the USA. Railway Engineering Science, Springer, Vol. 28 (3), pp. 251-274. DOI: 10.1007/s40534-020-00215-w.

Kavoosi, M., Dulebenets, M.A., Pasha, J., Abioye, O.F., Moses, R., Sobanjo, J., & Ozguven, E.E., 2020. Development of Algorithms for Effective Resource Allocation among Highway-Rail Grade Crossings: A Case Study for the State of Florida. Energies, MDPI, Vol. 13 (6), pp. 1-28. DOI: 10.3390/en13061419.

Kavoosi, M., Dulebenets, M.A., Abioye, O.F., Pasha, J., Theophilus, O., Wang, H., Kampmann, R., & Mikijeljevic, M., 2020. Berth Scheduling at Marine Container Terminals: A Universal Island-based Metaheuristic Approach. Maritime Business Review, Emerald, Vol. 5 (1), pp. 30-66. DOI: 10.1108/MABR-08-2019-0032.

Dulebenets, M.A., Pasha, J., Abioye, O.F., Kavoosi, M., Ozguven, E.E., Moses, R., Boot, W.R., & Sando, T., 2019. Exact and Heuristic Solution Algorithms for Efficient Emergency Evacuation in Areas with Vulnerable Populations. International Journal of Disaster Risk Reduction, Elsevier, Vol. 39, pp. 1-18. DOI: 10.1016/j.ijdrr.2019.101114.

Theophilus, O., Dulebenets, M.A., Pasha, J., Abioye, O.F., & Kavoosi, M., 2019. Truck Scheduling at Cross-Docking Terminals: A Follow-Up State-of-the-Art Review. Sustainability, MDPI, Vol. 11 (19), pp. 1-23. DOI: 10.3390/su11195245.

Abioye, O.F., Dulebenets, M.A., Pasha, J., & Kavoosi, M., 2019. A Vessel Schedule Recovery Problem at the Liner Shipping Route with Emission Control Areas. Energies, MDPI, Vol. 12 (12), pp. 1-28. DOI: 10.3390/en12122380.

Kavoosi, M., Dulebenets, M.A., Abioye, O.F., Pasha, J., Wang, H., & Chi, H., 2019. An Augmented Self-Adaptive Parameter Control in Evolutionary Computation: A Case Study for the Berth Scheduling Problem. Advanced Engineering Informatics, Elsevier, Vol. 42, pp. 1-25. DOI: 10.1016/j.aei.2019.100972.

Jiang, Z., Wang, H., Dulebenets, M.A., & Pasha, J., 2019. Assembly System Configuration Design for Reconfigurability under Uncertain Production Evolution. Journal of Manufacturing Science and Engineering, ASME, Vol. 141 (7), pp. 1-12. DOI: 10.1115/1.4043581.

Dulebenets, M.A., Kavoosi, M., Abioye, O.F., & Pasha, J., 2018. A Self-Adaptive Evolutionary Algorithm for the Berth Scheduling Problem: Towards Efficient Parameter Control. Algorithms, MDPI, Vol. 11 (7), pp. 1-35. DOI: 10.3390/a11070100.