Shengjie Xu
Assistant Professor

Research Areas
-
Cybersecurity
-
Artificial intelligence and machine learning
-
Intelligent networking systems
Shengjie Xu received a Ph.D. degree in Computer Engineering from the University of Nebraska-Lincoln in 2019, an M.S. degree in Telecommunications from the University of Pittsburgh in 2014, and a B.E. degree in Computer Science in 2012. He is currently an assistant professor in the College of Information Science at the University of Arizona (U of A). Before joining U of A, he was an 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, AI/Machine Learning, Quantum Computing Security, 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 serves as a Technical Editor for the IEEE Wireless Communications, 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 is a Senior Member of IEEE and holds multiple professional certifications in cybersecurity and computer networking.
Degrees
- PhD in Computer Engineering, University of Nebraska-Lincoln
- MS in Telecommunications, University of Pittsburgh
Awards
- Exemplary Editor Award of 2024 - IEEE Wireless Communications, 2025
- Outstanding Faculty Award - Fowler College of Business at San Diego State University, 2024
- IET Journals Premium Award for Best Paper - Institution of Engineering and Technology, 2020
- Milton E. Mohr Graduate Fellowship Award - College of Engineering at the University of Nebraska-Lincoln, 2017
- Best Poster Award - International Conference on Design of Reliable Communication Networks (DRCN), 2015