Adnen EL AMRAOUI

Dr. Adnen EL AMRAOUI is an Associate Professor at the University of Artois, France, with a PhD in Process Control from the Technical University of Belfort-Montbéliard (UTBM, France). His research focuses on optimization, logistics systems, and healthcare operations, with expertise in cross-docking operations, supply chain resilience, and AI-driven decision support systems. He has contributed to advancing methodologies for home healthcare routing, sustainable farmer selection, and energy demand forecasting through multi-criteria decision frameworks.

His academic background includes significant work on cyclic hoist scheduling problems, robust control systems, and distributed data compression for wireless sensor networks. Dr. EL AMRAOUI's research integrates operations research with emerging technologies like machine learning and IoT, addressing real-world challenges in healthcare logistics, energy systems, and agricultural supply chains.

Key contributions include developing GVNS-based algorithms for home dialysis care logistics, hybrid approaches for resilient farmer selection in Tunisia, and systematic reviews on AI applications in cross-docking and fisheries management. His work emphasizes practical solutions for complex systems under uncertainty, with a focus on sustainability and operational efficiency.

Dr. EL AMRAOUI holds an ORCID ID (https://orcid.org/0000-0001-9233-8655) and has published extensively in peer-reviewed journals and conference proceedings. His research spans interdisciplinary fields such as smart healthcare systems, renewable energy management, and industrial automation.