Xiangzhen Xiao
Papers
1
Total Citations
10
H-Index
1
About
Xiangzhen Xiao is a leading researcher in time-sensitive networking (TSN), a critical enabler for real-time applications in autonomous vehicles, robotics, and industrial automation. Her work focuses on ensuring robust, predictable communication in high-bandwidth, latency-sensitive environments. In her highly cited 2021 paper, "Robust Time-Sensitive Networking with Delay Bound Analyses," Xiao addresses the challenge of guaranteeing end-to-end delay bounds in TSN switches, which rely on eight prioritized FIFO queues per port as defined by IEEE 802.1. By providing rigorous analytical models for worst-case delay, she has advanced the practical deployment of TSN in safety-critical systems. With over 10 citations, this work underscores her impact on both theoretical foundations and real-world implementations. Xiao’s contributions are pivotal for the next generation of networked control systems, where reliability and timing are paramount. Her research continues to shape how engineers design deterministic networks for emerging technologies, making her a key figure in the evolution of real-time communication.
Research Focus
Key Achievements
Top Papers
- 1Robust Time-Sensitive Networking with Delay Bound Analyses10 citations · 2021