معرفی
Xu Han is Assistant Professor of Information, Technology, and Operations at Fordham University's Gabelli School of Business, joining in 2019. His research develops computational frameworks for complex systems analysis, focusing on AI agent collaboration, energy storage optimization, and healthcare quality metrics. Han employs smart agent-based modeling using large language models to simulate economic behaviors and urban sustainability scenarios.
Recent publications explore spontaneous cooperation mechanisms between competing AI agents and techno-economic assessments of renewable energy deployment. Methodological innovations include novel simulation architectures for studying firm competition and nursing home rating systems. Han's work consistently addresses:
- Multi-agent LLM interaction dynamics
- Data-driven healthcare evaluation
- Low-carbon urban infrastructure
