Qiang Wu

Papers

Total Citations

H-Index

About

Qiang Wu is a leading researcher in the security and risk prediction of intelligent Cyber-Physical-Social Systems (CPSS), with a particular focus on cloud-fog-edge computing architectures. His most cited work, "A Cloud-Fog-Edge Closed-Loop Feedback Security Risk Prediction Method" (2020, 30 citations), addresses the escalating security vulnerabilities introduced by smart devices—including robots, drones, and intelligent sensors—as they become central to the “smart age.” Wu’s major contribution lies in developing a closed-loop feedback framework that dynamically predicts and mitigates security risks across distributed computing layers, bridging theoretical models with practical deployment challenges. This work is pivotal for ensuring the resilience of smart cities, autonomous systems, and industrial IoT. Beyond this paper, Wu’s research portfolio consistently explores the intersection of risk assessment, edge intelligence, and system security, earning him recognition as a key voice in CPSS safety. His findings are frequently cited by engineers and academics working on real-time threat detection and adaptive defense mechanisms. For students and researchers, Wu’s work offers a rigorous yet accessible entry point into the critical field of securing tomorrow’s intelligent infrastructures.