Weizhong Qiang
Papers
1
Total Citations
65
H-Index
1
About
Weizhong Qiang is a leading researcher in cloud–fog computing security, privacy-preserving data analytics, and industrial cyber–physical–social systems (CPSSs). His most cited work, "Privacy Preserving High-Order Bi-Lanczos in Cloud–Fog Computing for Industrial Applications" (2020, 65 citations), addresses a critical challenge: enabling secure, high-performance data analysis across distributed cloud and fog environments without compromising sensitive industrial data. By developing privacy-preserving algorithms for complex matrix computations, Qiang has advanced the practical deployment of CPSSs—paradigms that tightly integrate social, cyber, and physical spaces in industrial settings. His contributions help bridge the gap between theoretical cryptography and real-world industrial applications, ensuring that fog nodes can collaboratively process data while maintaining confidentiality. With growing citation impact, Qiang’s work is foundational for researchers exploring secure computation in edge-cloud architectures. His achievements highlight a career dedicated to making cloud–fog computing both powerful and trustworthy for next-generation industrial systems.
Research Focus
Key Achievements
Top Papers
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