Papers
1
Total Citations
6
H-Index
1
About
Yunquan Dong is a leading researcher in the field of time-sensitive networking and data freshness, with a primary focus on the Age of Information (AoI) and its applications in autonomous systems. His work addresses critical challenges in real-time decision-making for technologies such as autonomous underwater robots and self-driving vehicles, where outdated information can lead to catastrophic failures. Dong’s major contribution lies in modeling and optimizing the interplay between update processes and decision processes in bufferless systems, as demonstrated in his highly cited 2022 paper on minimizing age-upon-decisions through service scheduling and decision interval optimization. This work, which has garnered 6 citations, provides foundational insights into how system designers can balance update generation and decision timing to ensure data freshness at critical decision epochs. By tackling the joint effects of statistics from both update and decision processes, Dong has opened new avenues for designing more reliable and responsive autonomous systems. His research continues to shape the theoretical underpinnings of real-time communication and control, making him a key figure in advancing the reliability of next-generation networked autonomous technologies.
Research Focus
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Top Papers
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