معرفی
Zhuangkun Wei is an Assistant Professor in the Department of Engineering at Durham University, with additional academic visiting status at the Department of Computing, Imperial College London. His research spans machine learning, signal processing for wireless communications, and UAV control systems, with a particular focus on security applications in next-generation communication networks.
Wei's research interests include physical layer security, control layer security for autonomous systems, and molecular communications. His work has identified new eavesdropping threats from malicious meta-surfaces designed for 6G communications, developed explainable adversarial learning frameworks for physical layer secret key generation, and proposed innovative control layer security mechanisms for UAV communications. He has also pioneered graph sampling methodologies for nonlinear networked dynamics and developed computational efficiency algorithms for molecular communications.
His publication record shows a strong focus on security applications in wireless communications, with particular emphasis on reconfigurable intelligent surfaces, physical layer security, and autonomous systems. The research demonstrates a progression from theoretical frameworks to practical demonstrations, with applications in 6G networks, drone security, and molecular communications.
- Bell Labs Prize Semi-Finalist 2019
Wei has led postdoctoral researchers for Pillar 2 of the CHEDDAR project, collaborating with research groups from Glasgow University and Cranfield University. His proof-of-concept demonstrations in control layer security have helped secure industrial support for future fellowships and grant applications. His research has attracted significant attention in both academic and industrial circles, particularly for applications in secure 6G communications and UAV security.
His work is associated with the Communications and THz and Electrical Power research centers at Durham University, where he contributes to advancing secure communication technologies for next-generation networks.
