Shangqing Zhao

Assistant Professor

Email: shangqing@ou.edu
Norman Office: Devon Energy Hall Room 210-D

Website: cs.ou.edu/~shangqing

Education
Ph.D., Systems and Security
University of South Florida
M.S., Communication and Information Systems
Henan Polytechnic University
B.A., Business Administration
Fujan Agriculture and Foestry University

Research Focus

Novel mobile system design, network science, mobile and network security, machine learning for network and security applications

Experience and Awards

Assistant Professor, School of Computer Science, University of Oklahoma

Biography

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.

Selected Publications

Snyder, L. S., Lin, Y.-S., Karimzadeh, M., Goldwasser, D., & Ebert, D. S., “Interactive Learning for Identifying Relevant Tweets to Support Real-time Situational Awareness,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
Zhao, J., Karimzadeh, M., Snyder, L. S., Surakitbanharn, C., Qian, Z. C., & Ebert, D. S., “MetricsVis: A Visual Analytics System for Evaluating Employee Performance in Public Safety Agencies,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
Khayat, M., Karimzadeh, M., Ebert, D. S., Ghafoor, A. “The Validity, Generalizability and Feasibility of Summative Evaluation Methods in Visual Analytics,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
Khayat, M., Karimzadeh, M., Zhao, J., Ebert, D. S. “VASSL: A Visual Analytics Toolkit for Social Spambot Labeling,” IEEE Transactions on Visualization and Computer Graphics, to appear 2020.
Lee, C., Jin, S. Kim, D., Maciejewski, R., Ebert, D., Ko, S., “An Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion,” IEEE Transactions on Visualization and Computer Graphics, 2019.
Chen, M., Ebert, D., “An Ontological Framework for Supporting the Design and Evaluation of Visual Analytics Systems,” Computer Graphics Forum (Proc. IEEE EuroVis 2019), 2019.