Shutong Chen
Papers
1
Total Citations
6
H-Index
1
About
Shutong Chen is a rising researcher in time-sensitive cyber-physical systems, with a focus on data freshness and decision-making in autonomous and robotic applications. Their work addresses the critical challenge of minimizing age-upon-decisions—a metric that captures how outdated information is when it is actually used for control or decision tasks, such as in auto-driving vehicles or autonomous underwater robots. Chen’s most cited paper (2022, 6 citations) introduces a novel framework for jointly optimizing service scheduling and decision intervals in bufferless systems with Poisson arrivals, revealing how the interplay between update and decision processes governs system timeliness. This contribution is foundational for real-time systems where stale data can lead to catastrophic failures. Chen’s research bridges queueing theory and age-of-information (AoI) analysis, offering practical insights for edge computing and IoT deployments. Though early in their career, Chen’s work has already been recognized for its relevance to next-generation autonomous networks, and their models provide a blueprint for designing systems that balance communication and computation delays. With a clear trajectory toward more complex multi-source and multi-decision scenarios, Chen is a name to watch in the field of timely decision-making under uncertainty.
Research Focus
Key Achievements
Top Papers
- 1