معرفی
Dr. Shangqing Zhao is an Assistant Professor in the School of Computer Science at the University of Oklahoma, with campuses in Norman and Tulsa. He earned his Ph.D. in Systems and Security from the University of South Florida in 2021. His research focuses on novel mobile system design, network security, and machine learning applications in security. He has published in top-tier venues like MobiCom, NSDI, and IEEE Transactions. Awards include the IEEE ICCCN 2023 Best Paper Award and an NSF grant for adversarial-driven physical layer security.
Education
- Ph.D., Systems and Security, University of South Florida (2021)
- M.S., Communication and Information Systems, Henan Polytechnic University
- B.A., Business Administration, Fujan Agriculture and Forestry University
Research Interests
Dr. Zhao’s work spans mobile system design, network security, and machine learning for security. He explores data-driven approaches to improve system resilience against adversarial attacks, including spectrum attacks, wireless authentication vulnerabilities, and AI-driven security solutions. His research bridges theory and practice, with impactful contributions to IEEE conferences and journals.
Publication Trends
His articles emphasize adversarial machine learning, wireless security protocols, and AI applications in healthcare. Recent work tackles quantum ML security, breath inference defenses, and mmWave network optimization. The 2023 Best Paper Award highlights his innovation in dynamic routing protocols against network inference attacks.
Grants & Awards
- NSF SaTC Grant (Adversarial-Driven Physical Layer Security)
- OU DISC Grant (Capsule Forensics)
- IEEE ICCCN 2023 Best Paper Award
Advising & Students
He currently advises Ph.D. students Jinmiao Chen, Xinyu Cao, Yu Cai, and Reza Babaei (co-advised), along with master’s student Yanyan Luo. His lab focuses on practical security solutions for emerging technologies like mmWave and IoT.
