B.S., Computer Science, Beijing Institute of Technology, 2001
M.S., Computer Science, University of Minnesota, 2003
Ph.D., Computer Science, University of Minnesota, 2005
Privacy-aware computing, management of big sensory data, Internet of things, social networks, wireless networking
Dr. Yingshu Li received her Ph.D. and M.S. degrees from the Department of Computer Science and Engineering at the University of Minnesota-Twin Cities. She received her B.S. degree from the Department of Computer Science and Engineering at Beijing Institute of Technology, China. Dr. Li is currently a professor in the Department of Computer Science at Georgia State University. Her research interests include privacy-aware computing, Internet of things, social networks, and wireless networking. Dr. Li is the recipient of an NSF CAREER Award. Dr. Li’s research has been supported by the National Science Foundation, the U.S. Department of State, and other academic and industrial sponsors. Dr. Li regularly publishes in scholarly journals, conference proceedings, and books, and her publications have received around 10,000 citations. Dr. Li has served as an associate/guest editor for many prestigious journals, including ACM Transactions on Sensor Networks, IEEE Transactions on Computers, IEEE Transactions on Network Science and Engineering, and IEEE Internet of Things Journal. She has also served as a general/program chair and technical program committee member for such international conferences as CIKM, ICDCS, INFOCOM, IPCCC, and WASA.
 Sai and Y. Li, A Survey on Privacy Issues in Mobile Social Networks, IEEE Access, 8:130906-130921, 2020.
 Zhu, J. Li, H. Gao, and Y. Li, Latency-efficient Data Collection Scheduling in Battery-free Wireless Sensor Networks, ACM Transactions on Sensor Networks, 16(3):25:1-25:21, 2020.
 Siddula, Y. Li, X. Cheng, Z. Tian, and Z. Cai, Anonymization in Online Social Networks based on Enhanced Equi-cardinal Clustering, IEEE Transactions on Computational Social Systems, 6(4):809-820, 2019.
 Zheng, Z. Cai, and Y. Li, Data Linkage in Smart IoT Systems: A Consideration from Privacy Perspective, IEEE Communications Magazine, 56(9):55-61, 2018.
 Liang, Z. Cai, J. Yu, Q. Han, and Y. Li, Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart Devices, IEEE Network Magazine, 32(4):8-14, 2018.