Issam NOUAOURI

Issam NOUAOURI is an Associate Professor with HDR (Habilitation à Diriger des Recherches) specializing in healthcare logistics, operations research, and disaster management. His research focuses on optimizing patient flows, material resources, and supply chain networks in dynamic and uncertain environments. Key areas include emergency medical services, sustainable supply chains, and AI-driven healthcare solutions.

• Education:
  • Ph.D. Thesis: 'Gestion hospitalière en situation d’exception: optimisation des ressources critiques' (2006-2010)
  • HDR: 'Contribution à l’optimisation des flux de patients et matières dans un environnement incertain et dynamique' (2023)

Research interests span healthcare logistics, optimization algorithms (metaheuristics, genetic algorithms), disaster response planning, and sustainable supply chain design. Notable work includes modeling ambulance routing, emergency department resource allocation, and collaborative hospital networks.

Publications emphasize practical applications in healthcare systems, such as reducing patient waiting times, optimizing vehicle routing for hazardous waste, and integrating AI in disease diagnosis. His work bridges theoretical optimization and real-world healthcare challenges.

Grants and collaborations include projects on hospital logistics within Groupements Hospitaliers de Territoire (GHT), disaster management systems, and rail safety co-simulation. He has supervised seven Ph.D. students focusing on healthcare scheduling, supply chain optimization, and hyperheuristics.

Labs/Teams: Active contributor to the LGI2A laboratory, focusing on interdisciplinary research in intelligent systems and healthcare operations.