Shengjie Xu

Shengjie Xu received a PhD degree in Computer Engineering from the University of Nebraska-Lincoln in 2019, an MS degree in Telecommunications from the University of Pittsburgh in 2014, and a BE degree in Information Security in 2012. He has been a tenure-track assistant professor at the University of Arizona (U of A) since August 2024 and a co-principle investigator (Co-PI) of the Google-funded Arizona Cybersecurity Clinic. Before joining U of A, he was a tenure-track assistant professor at San Diego State University from 2022 to 2024 and at Dakota State University from 2019 to 2022.

His research interests include cybersecurity, Cyber AI, Zero Trust, Cryptography, Secure AI and Graph Modeling. He is the author of one book and more than 40 articles. He is the lead author of the book `Cybersecurity in Intelligent Networking Systems' (John Wiley/IEEE Press, 2023). He currently serves as a Technical Editor for the IEEE Wireless Communications Magazine, an Associate Editor for the IEEE Access, an Editor for the International Journal of Sensor Networks, and a Technical Program Committee (TPC) Vice Chair for the International Symposium on Intelligent Computing and Networking (ISICN) 2025. He has received grants and contracts in research and educational projects from the U.S. National Science Foundation (NSF) and other organizations. He served as a proposal panel reviewer for the NSF.

He was a recipient of the Exemplary Editor Award of 2024 from the IEEE Wireless Communications Magazine in 2025, the Outstanding Faculty Award from the Fowler College of Business at San Diego State University in 2024, the Institution of Engineering and Technology (IET) Journals Premium Award for Best Paper in 2020, the Milton E. Mohr Graduate Fellowship Award from the College of Engineering at the University of Nebraska-Lincoln in 2017, and the Best Poster Award from the International Conference on Design of Reliable Communication Networks (DRCN) in 2015. He is a member of IEEE and ACM and holds multiple professional certifications in cybersecurity and computer networking.