Dr. Maha Al-Sheikh | Supply chain & logistics | Best Researcher Award 

Assistant Professor, Middle East University, Jordan

Dr. Maha Al-Sheikh is an accomplished Assistant Professor of Supply Chain Management at Middle East University, known for her pioneering research in Digital Supply Chain Management, Artificial Intelligence in Logistics, and Sustainable Operations. Her academic path reflects a strong commitment to the integration of advanced analytics, technology, and sustainability within the global business ecosystem. Dr. Maha Al-Sheikh earned her Ph.D. in Supply Chain Management, where she specialized in developing frameworks for data-driven decision-making, adaptive logistics, and resilience modeling. Throughout her professional journey, she has held academic and research-oriented roles that emphasize innovation, interdisciplinary collaboration, and industry engagement. Her teaching and research experience span multiple areas, including AI for Business Transformation, Smart Logistics Systems, Sustainable Supply Chain Networks, and Predictive Modeling for Resource Optimization. Dr. Maha Al-Sheikh’s research interests center on the intersection of artificial intelligence, sustainability, and industrial transformation, exploring how digitalization and intelligent systems can reshape modern supply chains. She demonstrates expertise in AI algorithms for logistics management, neuro-fuzzy modeling, statistical forecasting, simulation tools, and environmental impact assessment. Her research excellence is evidenced through publications in highly regarded journals such as IEEE Access, Technological Sustainability, Problems and Perspectives in Management, and Environmental Economics, addressing key challenges like energy-conscious logistics, clean transportation, and adaptive supply chain resilience. Her professional achievements include active membership in academic and research associations such as IEEE, INFORMS, and the Academy of Management, enhancing her involvement in international conferences, technical sessions, and peer-review activities. Her dedication to innovation, mentorship, and educational leadership has made her a key figure in promoting AI applications for responsible business practices. She has guided numerous postgraduate students in research projects focusing on supply chain resilience, digital transformation, and sustainability transitions, fostering an environment of academic growth and collaboration.

Profiles: Google Scholar | Scopus

Featured Publications

• Al-Sheikh, M. (2025). Toward a cleaner road: Environmental transformation in Hungary’s automotive sector. Environmental Economics, 16(2), 1. Citations: 3

• Al-Sheikh, M., Morshed, A., Alkhodary, D., Khrais, L. T., & Altarawneh, R. (2025). Beyond efficiency: unpacking AI’s dual role in driving sustainable and energy-conscious logistics in North Africa. Technological Sustainability, 4(3), 293–310.

• Samhouri, M., Abualeenein, M., & Al-Sheikh, M. (2025). Mitigating disruptions in transportation and logistics through adaptive neuro-fuzzy inference-based supply chain resilience. IEEE Access.

• Zoubi, M., Estaitia, H., Morshed, A., Khrais, L. T., Haikal, E., & Al-Sheikh, M. (2025). Augmented reality and sustainable luxury: transforming fashion retail in the UAE. Technological Sustainability, 1–18.

• Al-Sheikh, M. (2025). Assessing how supply chains strategy contributes to business success and varies by firm size and industry. Problems and Perspectives in Management, 23(2), 498.