Yankai Wang

Fudan University

Papers

1

Total Citations

8

H-Index

1

About

Yankai Wang is a researcher in embedded systems and real-time computing, with a focus on mixed-criticality architectures and security. His most notable contribution is the development of PSpSys, a time-predictable mixed-criticality system architecture leveraging ARM TrustZone technology. This work, published in 2021 and garnering 8 citations, addresses the critical challenge of integrating tasks with varying levels of assurance—such as safety-critical and non-critical functions—on a single hardware platform while ensuring temporal predictability and isolation. By exploiting TrustZone’s hardware-enforced separation, Wang’s design enhances reliability in domains like automotive, avionics, and industrial control, where timing guarantees are paramount. His research bridges the gap between security and real-time performance, offering a practical path toward more efficient and trustworthy embedded systems. Wang’s work is particularly relevant for students and engineers exploring mixed-criticality systems, as it demonstrates how commercial off-the-shelf hardware can be repurposed for high-assurance applications. With a growing citation footprint, his contributions are shaping the future of predictable and secure computing in resource-constrained environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
PSpSys: A time-predictable mixed-criticality system architecture based on ARM TrustZone
8 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Fudan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago