- About
- Admissions
- Study at AUS
- Prospective Students
- Bachelor's Degrees
- Master's Degrees
- Doctoral Degrees
- Admission Publications
- International Students
- Contact Admissions
- Grants and Scholarships
- Sponsorship Liaison Services
- Testing Center
- New Undergraduate Student Guide
- Undergraduate Orientation
- New Graduate Student Guide
- Graduate Orientation
- File Completion
- Payment Guide
- Students with Disabilities
- Executive and Continuing Education
- Academics
- Life at AUS
- Virtual Campus Tour
- Around Campus
- One Stop Solution Center
- Residential Halls
- Commercial Outlets
- Athletics and Recreation
- Celebrating our Graduates
- Health and Wellness
- Student Life
- Sustainability
- Merchandise
- Alumni
- On-Campus Services
- Students with Disabilities
- Fazaa
- Complaint Hotline
- Engage Arts
- Ethics Culture
- Research
- Contact Us
- Apply Now
- .
Profile
College / Department
Teaching areas
Supply chain and logistics, Facilities design and planning, Analysis of Production Systems, Artificial Intelligence and Machine Learning.
Research areas
Logistics, supply chain, air mobility, transportation.
Contact
Dr. Faisal Alkaabneh
Assistant Professor
Faisal Alkaabneh is an assistant professor in the Industrial Engineering department at the American University of Sharjah. He received his Ph.D. from Cornell University in 2020, advised by H. Oliver Gao. He 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, Dr. Faisal worked for three years in the United States as an assistant professor where he was able to secure more than $12,000,000 in funding from private companies and government agencies.
Publications
Faisal Alkaabneh, Rose Falou, Jabir Mumtaz And Bayan Hamdan. 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
Jinhao Du, Yarong Chen, Jabir Mumtaz, Faisal Alkaabneh, Ziyang Ji And Kaynat Afzal Minhas. 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
Faisal Alkaabneh And Sam Sutharson. Vehicle Routing Problem with Synchronization for Mobile Health Clinics, 4 November 2024
Rabiatu Bonku, Lauren Davis, Ricky Owusu And Faisal Alkaabneh. Optimizing Food Bank Logistics: A synchronized Approach to Mobile Food Pantry Routing, October (4th Quarter/Autumn) 2024
Faisal Alkaabneh. 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
Faisal Alkaabneh And Ali Diabat. 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
Faisal Alkaabneh, Karmel Shehadeh And Ali Diabat. Routing and resource allocation in non-profit settings with equity and efficiency measures under demand uncertainty, Transportation Research Part C: Emerging Technologies, 2023
Faisal Alkaabneh, Rabiatu Bonku And Lauren Davis. Collaborative Vehicle Routing for Equitable and Effective Food Allocation in Non-profit Settings, Journal Of Humanitarian Logistics And Supply Chain Management
Faisal Alkaabneh, Ali Diabat And Huaizhu Gao. A unified framework for efficient, effective, and fair resource allocation by food banks using an Approximate Dynamic Programming approach, Omega, April (2nd Quarter/Spring) 2021
Faisal Alkaabneh, Ali Diabat And Huaizhu Gao. Benders decomposition for the inventory vehicle routing problem with perishable products and environmental costs, Computers & Operations Research, January (1st Quarter/Winter) 2020
Faisal Alkaabneh, Ali Diabat And Samir Elhedhli. 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
Awards and Honors
2nd place in best student paper competition at IISE Annual Conference in Montreal, Canada, IISE, Https://www.linkedin.com/feed/update/urn:li:activity:7198983142546776064/, May 2024
