Wuxi University | China
Xuejin Zhu is an associate professor in the School of Internet of Things Engineering at Wuxi University and a researcher specializing in Internet of Things (IoT) security. His research focuses on malware propagation analysis in heterogeneous IoT and wireless sensor networks, combining epidemiological modeling, complex network theory, and machine learning techniques to understand and mitigate large-scale cyber threats. He has made notable contributions to malware homology detection using visualized images and feature fusion, as well as to the identification of influential spreaders in complex networks through novel ranking methods. His work has been published in reputable international journals such as IEEE Systems Journal, PeerJ Computer Science, Entropy, and PeerJ Computer Science, reflecting strong interdisciplinary impact across cybersecurity, network science, and intelligent systems. Through these contributions, his research advances theoretical modeling and practical defense strategies for securing next-generation IoT infrastructures.
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