Mahdi Jemmali

Mahdi Jemmali is a researcher with a strong focus on optimization, scheduling algorithms, and their applications in diverse fields such as logistics, environmental systems, and computer networks. His work integrates operations research techniques with real-world challenges in manufacturing, healthcare, and smart city infrastructure. Collaborations with institutions globally highlight his interdisciplinary approach.

• Key research areas include: Operations Research, Optimization Algorithms, Drone Technology, Big Data Analytics, and Environmental Monitoring.
• Notable contributions span scheduling in hybrid flow shops, drone-based logistics, and secure data dissemination protocols.

Recent work emphasizes practical solutions for renewable energy monitoring, forest conservation, and equitable healthcare evaluation systems. His publications demonstrate expertise in heuristic methods, constraint-based optimization, and real-time systems.