Wanli Chang

Hunan University, University of York

Papers

8

Total Citations

230

H-Index

6

About

Dr. Wanli Chang is a leading researcher in real-time embedded systems and cyber-physical security, with a focus on ensuring timing predictability and safety in complex, resource-constrained environments. His work spans three critical pillars: hardware security, multiprocessor scheduling, and mixed-criticality systems. Dr. Chang’s most impactful contribution is the CT PUF (Configurable Tristate Physical Unclonable Function), a lightweight security primitive for IoT devices that resists machine learning attacks—a paper that has garnered 95 citations and addresses a pressing vulnerability in device authentication. He has also advanced the theory of DAG scheduling on multiprocessors (66 citations), enabling parallel execution while respecting functional dependencies, and developed ASDYS, a dynamic scheduling framework for mixed-criticality cyber-physical systems. His work on MSRP-FT extends reliable resource sharing to multiprocessor mixed-criticality platforms, and he has contributed to time-sensitive networking (TSN) with robust delay-bound analyses. Dr. Chang’s research is directly motivated by real-world applications, including autonomous vehicles, robotics, and industrial automation, where his innovations in timing analysis and security are shaping the next generation of intelligent, connected systems.

Research Focus

Key Achievements

6
H-Index
8
Papers
230
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
CT PUF: Configurable Tristate PUF Against Machine Learning Attacks for IoT Security
95 citations · 2021
📈 Most Prolific Year: 2020 (5 Papers)
🤝 Key Collaborators: 28
🏛 Institutions: Hunan University, University of York

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago