Wen-Yew Liang
Papers
1
Total Citations
3
H-Index
1
About
Dr. Wen-Yew Liang is a researcher specializing in edge computing, real-time communication systems, and distributed decision-making for cyber-physical environments. His work focuses on enabling scalable, bounded-time data sharing and decision-making across edge device networks—critical for applications like smart factories and autonomous vehicles. In his notable 2022 paper, "Scalable and Bounded-time Decisions on Edge Device Network using Eclipse Zenoh," Liang addresses the challenge of real-time data processing and peer-to-peer communication on enhanced edge computing platforms. This work, which has garnered early citations, demonstrates his contribution to reducing latency and ensuring predictable performance in decentralized systems. Liang’s research bridges the gap between embedded computing services and real-time network constraints, offering practical solutions for industrial automation and intelligent transportation. His achievements highlight a commitment to advancing edge intelligence, where timely, local decisions replace reliance on centralized cloud infrastructure. With a focus on scalability and bounded-time guarantees, Liang’s work is shaping the next generation of responsive, autonomous edge networks.
Research Focus
Key Achievements
Top Papers
- 1