Yanghe Pan

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About

Yanghe Pan is a leading researcher at the forefront of AI agent systems and the Internet of Things (IoT), with a particular focus on the convergence of large language models (LLMs) and autonomous multi-agent architectures. His most-cited work, "Internet of Agents: Fundamentals, Applications, and Challenges" (2025, 11 citations), provides a foundational framework for understanding how AI agents—evolving from isolated, task-specific systems into autonomous, interactive entities—can perceive, reason, and act without human intervention. This seminal paper maps the transition from static IoT devices to dynamic, LLM-powered agent ecosystems, addressing key challenges in coordination, security, and scalability. Pan’s contributions are pivotal in shaping the next generation of intelligent systems, where agents collaborate across virtual and physical domains. His research has already garnered attention for its forward-looking vision, bridging theoretical foundations with practical applications in smart environments, autonomous robotics, and distributed intelligence. As a rising scholar, Pan’s work is essential reading for students and researchers exploring the future of autonomous agents and their integration into everyday life.