Yi-Hung Kuo

Papers

Total Citations

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About

Yi-Hung Kuo is a researcher at the forefront of edge computing and real-time communication systems, with a focus on enabling scalable, bounded-time decision-making in distributed edge device networks. His most-cited work, "Scalable and Bounded-time Decisions on Edge Device Network using Eclipse Zenoh" (2022), addresses critical challenges in latency-sensitive applications such as smart factories and autonomous vehicles. Kuo’s contributions center on optimizing data sharing and processing across enhanced edge computing platforms, ensuring predictable performance under stringent timing constraints. By leveraging the Eclipse Zenoh protocol, he has advanced the feasibility of real-time, peer-to-peer data exchange in resource-constrained environments. Though his citation count (3) reflects an emerging career, his work targets a high-impact area where reliability and speed are paramount. Kuo’s research bridges the gap between theoretical edge computing models and practical, deployable systems, making him a promising voice in the evolution of intelligent, responsive edge networks. His achievements highlight a dedication to solving real-world latency and scalability issues, positioning him as a key contributor to the future of distributed real-time systems.