Qianmu Li

Nanjing University of Science and Technology

Papers

Total Citations

H-Index

About

Dr. Qianmu Li is a leading researcher in cybersecurity and intelligent cyber-physical-social systems (CPSS), with a focus on the security challenges posed by the convergence of cloud, fog, and edge computing. His most cited work, "A Cloud-Fog-Edge Closed-Loop Feedback Security Risk Prediction Method" (2020, 30 citations), introduces a novel framework that dynamically predicts and mitigates security risks in smart environments, such as those involving robots, drones, and intelligent sensors. This contribution is pivotal for advancing the reliability of the "smart age" infrastructure, where real-time feedback loops are essential for preempting cyber threats. Dr. Li’s research bridges theoretical risk modeling with practical deployment, addressing the escalating vulnerabilities in distributed computing architectures. His work has garnered significant attention, with the paper cited in studies on edge intelligence and secure CPSS design. By integrating closed-loop feedback mechanisms, Dr. Li has provided a scalable solution for safeguarding next-generation autonomous systems, making him a key figure in the evolution of resilient smart technologies. His achievements underscore a commitment to securing the interconnected digital-physical world.