معرفی
Alessandro Agnetis is a Full Professor at the Department of Information Engineering and Mathematical Sciences, University of Siena, with expertise in combinatorial optimization and scheduling theory. His research spans operations research, multi-agent systems, and lean management applications, with recent publications focusing on adversarial bilevel scheduling, drone emergency logistics, and fairness-utility trade-offs in two-agent systems.
- Current Courses: Optimization Methods, Combinatorial Optimization, Production Planning (Master's in Engineering Management)
- Contact: alessandro.agnetis@unisi.it
Research Trends: His work addresses complex scheduling problems across manufacturing, healthcare, and logistics, particularly emphasizing:
- Multi-agent coordination and Nash equilibrium models
- Parallel machine scheduling with unreliable jobs
- Emergency delivery optimization using drones
- Time-critical testing and cross-docking systems
- Lean management integration in healthcare operations
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