Yizhi Huang
Papers
1
Total Citations
22
H-Index
1
About
Yizhi Huang is a leading researcher in cyber-physical systems (CPS), with a focus on dynamic scheduling and mixed-criticality architectures. Their most cited work, "ASDYS: Dynamic Scheduling Using Active Strategies for Multifunctional Mixed-Criticality Cyber–Physical Systems" (2020, 22 citations), addresses the critical challenge of managing complex functions with varying criticality levels on heterogeneous, distributed platforms. Huang’s contributions lie in developing active scheduling strategies that optimize performance and safety in domains like automotive, robotics, and industrial automation, where cyber and physical components interact ever more tightly. By proposing novel approaches to handle multifunctional mixed-criticality tasks, Huang has advanced the reliability and efficiency of emerging CPS. Their work is particularly notable for bridging theoretical scheduling algorithms with practical system demands, offering solutions that enhance real-time responsiveness while maintaining robust safety guarantees. With a growing citation impact, Huang continues to shape the future of intelligent, adaptive CPS, making their research essential reading for students and engineers tackling the complexities of modern embedded and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1