PhD, Systems and Security, University of South Florida
MS, Communication and Information Systems, Henan Polytechnic University
BA, Business Administration, Fujian Agriculture and Foestry University
Assistant Professor, School of Computer Science, University of Oklahoma
Novel mobile system design, network science, mobile and network security, machine learning for network and security applications
Dr. Shangqing Zhao is currently an assistant professor in the School of Computer Science at the University of Oklahoma (Tulsa campus). Dr. Zhao received his Ph.D. degree from the University of South Florida in 2021. His research primarily focuses on network and mobile systems design and security. His research results have been published in top-tier conferences (e.g., MobiCom, NSDI, INFOCOM, CCS, ICDCS) and journals (e.g., IEEE Transactions on Mobile Computing, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Wireless Communications). He also served as a reviewer for multiple top academic journals and conferences.
Shangqing Zhao, Zhuo Lu, Cliff Wang, “Measurement Integrity Attacks against Network Tomography: Feasibility and Defense”, IEEE Transactions on Dependable and Secure Computing (TDSC), To Appear.
Shangqing Zhao, Zhuo Lu, Cliff Wang, “How Can Randomized Routing Protocols Hide Flow Information in Wireless Networks”, IEEE Transactions on Wireless Communications (TWC), vol. 19, no. 11, pp. 7224 - 7236, 2020.
Shangqing Zhao, Zhe Qu, Zhengping Luo, Zhuo Lu, Yao Liu, “Comb Decoding towards Collision-Free WiFi”, in Proc. of USENIX Symposium on Networked Systems Design and Implementation (NSDI), Feb. 2020 (Acceptance Rate: 17.45%).
Shangqing Zhao, Zhuo Lu, Zhengping Luo, Yao Liu, “Orthogonality-Sabotaging Attacks against OFDMA-based Wireless Networks”, in Proc. of IEEE Conference on Computer Communications (INFOCOM), Apr. 2019 (Acceptance Rate: 19.7%).
Song Fang, Tao Wang, Yao Liu, Shangqing Zhao, Zhuo Lu, “Entrapment for Wireless Eavesdroppers”, in Proc. of IEEE Conference on Computer Communications (INFOCOM), Apr. 2019 (Acceptance Rate: 19.7%).
Song Fang, Ian Markwood, Yao Liu, Shangqing Zhao, Zhuo Lu, and Haojin Zhu, “No Training Hurdles: Fast Training-Agnostic Attacks to Infer Your Typing”, in Proc. of ACM Conference on Computer and Communications Security (CCS), Oct. 2018 (Acceptance Rate: 16.6%).
Shangqing Zhao, Zhengpin Luo, Zhuo Lu, Xiang Lu, and Yao Liu, “Stateful inter-packet signal processing for wireless networking”, in Proc. of ACM Conference on Mobile Computing and Networking (MobiCom), Oct. 2017 (Acceptance Rate: 18.83%).
Shangqing Zhao, Zhuo Lu, Cliff Wang, “When seeing isn’t believing: on feasibility and detectability of scapegoating in network tomography”, in Proc. of IEEE International Conference on Distributed Computing Systems (ICDCS), June. 2017 (Acceptance Rate: 16.9%).