Rate My Professor Faisal Alkaabneh

Dr. Faisal Alkaabneh is an assistant professor in the Department of Industrial Engineering at the American University of Sharjah. He received his Ph.D. from Cornell University in 2020. Dr. Alkaabneh uses tools from operations research and machine learning to improve the operational efficiency of critical systems such as electrification of transportation, humanitarian logistics, supply chain, and inventory management. Before joining the American University of Sharjah in 2024, he worked for three years in the United States as an assistant professor, during which he secured more than $12,000,000 in funding from private companies and government agencies. His research areas include logistics, supply chain, air mobility, and transportation. His teaching areas include supply chain and logistics, facilities design and planning, analysis of production systems, and artificial intelligence and machine learning.

Dr. Alkaabneh’s recent publications include “An Integrated Optimization Framework for Urban Air Mobility: Planning Vertiports, Fleet Size, and Routes for eVTOL Operations with Application in Dubai” (Transportation Research Interdisciplinary Perspectives, 2026), “Multi-agent deep reinforcement learning for dynamic lot-streaming flow shop problems with unequal sub-lots and capacity constraints” (Journal of Industrial Information Integration, May 2026), “Vehicle Routing Problem with Synchronization for Mobile Health Clinics” (November 2024), “Optimizing Food Bank Logistics: A synchronized Approach to Mobile Food Pantry Routing” (October 2024), “Matheuristic for synchronized vehicle routing problem with multiple constraints and variable service time: Managing a fleet of sprayers and a tender tanker” (Computers & Operations Research, February 2024), “A multi-objective home healthcare delivery model and its solution using a branch-and-price algorithm and a two-stage meta-heuristic algorithm” (Transportation Research Part C: Emerging Technologies, 2023), “Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty” (Transportation Research Part C: Emerging Technologies, 2023), “Collaborative Vehicle Routing for Equitable and Effective Food Allocation in Non-profit Settings” (Journal of Humanitarian Logistics and Supply Chain Management), “A unified framework for efficient, effective, and fair resource allocation by food banks using an Approximate Dynamic Programming approach” (Omega, April 2021), “Benders decomposition for the inventory vehicle routing problem with perishable products and environmental costs” (Computers & Operations Research, January 2020), and “A Lagrangian heuristic and GRASP for the hub-and-spoke network system with economies-of-scale and congestion” (Transportation Research Part C: Emerging Technologies, May 2019). In May 2024, he received 2nd place in the best student paper competition at the IISE Annual Conference in Montreal, Canada.

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