معرفی
Xiaojun Shang is an Assistant Professor in the Department of Computer Science and Engineering at the University of Texas at Arlington. His research focuses on distributed computing environments, including edge computing, quantum computing, and network optimization for AI applications.
- PhD in Computer Engineering from Stony Brook University (2023)
- MS in Electrical Engineering from Columbia University (2016)
- BS in Information and Communication Engineering from Zhejiang University (2014)
Research interests span computer networks, edge computing, edge AI, and quantum computing, with emphasis on algorithm development for distributed environments. Recent work includes quantum interconnection networks and edge AI co-design, with applications in connected vehicles and 6G systems.
Publications demonstrate trends in service function chain deployment, quantum entanglement routing, and mobility-aware edge computing. His team's work on blockchain-based O-RAN optimization and distributed quantum computing topology has won Best Paper Awards at ICDCS 2024 and INFOCOM 2020.
- Best Paper Award, IEEE ICDCS 2024
- UT System STARs Award 2023
- Best Paper Award, IEEE INFOCOM 2020
As a Faculty Mentor for OurCS Workshop and committee member for CSE PhD Admissions, he advises PhD students including Wei Lin and Wentao Dexter Gao. Reviewer roles include IEEE TPDS, ACM Computing Surveys, and IEEE IoT Journal.
