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About

Jiawen Kang is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, autonomous systems, and next-generation networking technologies. His research spans several interconnected domains, including the Internet of Robotic Things (IoRT), unmanned vehicle swarms, AI-driven agents, and privacy-preserving communication protocols. Among his notable contributions is the development of EPDB, an efficient and privacy-preserving electric charging scheme for IoRT environments, which addresses critical security challenges in EV charging automation and has already garnered 14 citations since its 2024 publication. Kang has also made significant strides in applying generative AI to unmanned vehicle swarms, exploring how intelligent coordination and learning can enhance autonomous operations in hazardous or complex environments — work that has attracted 12 citations in its first year. His 2025 paper on the Internet of Agents, introducing a framework for interconnected large language model-based AI agents, reflects his forward-thinking approach to multi-agent systems and has quickly accumulated 11 citations. Complementing this portfolio is his technical work on near-field robot localization using collaborative access point networks. Across these contributions, Kang is establishing himself as a versatile and impactful voice in the rapidly evolving landscape of intelligent, connected autonomous systems.