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
Wireless networking, sensor networks, sensory data management, social networks, optimization
Dr. Yingshu Li received her Ph.D. and M.S. degrees from the Department of Computer Science and Engineering at 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.
Dr. Li’s research focuses on the design and analysis of algorithms and protocols for wireless ad hoc networks, wireless sensor networks, and social networks. Her research topics include designing algorithms for data acquisition, approximate computation and quality control of big sensory data, constructing Connected-Dominating-Set-based backbones in energy-harvest sensor networks, developing coverage algorithms in wireless sensor networks, and designing privacy-preserving strategies for social networks. Dr Li’s research has been supported by the National Science Foundation (NSF), the National Science Foundation of China (NSFC), the Electronics and Telecommunications Research Institute (ETRI) of South Korea, and GSU internal grants. Dr. Li is the recipient of an NSF CAREER Award. Dr. Li has been serving as an Editor for several international journals and providing referee service for many international journals and conferences.
J. He, S. Ji, Y. Pan, and Y. Li, Constructing load-balanced data aggregation trees in probabilistic wireless sensor networks, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 7, 2014, pp. 1681–1690.
S. Ji, J. He, A. Uluagac, R. Beyah, and Y. Li, Cell-based snapshot and continuous data collection in wireless sensor networks, ACM Transactions on Sensor Networks, vol. 9, no. 4, 2013, Article no. 47.
Y. Li, C. Vu, C. Ai, G. Chen, and Y. Zhao, Transforming complete coverage algorithms to partial coverage algorithms for wireless sensor networks, IEEE Transactions on Parallel and Distributed Systems, vol. 22, no. 4, 2011, pp. 695–703.
L. Guo, R. Beyah, and Y. Li, SMITE: a stochastic compressive data collection protocol for mobile wireless sensor networks, Proceedings of the 2014 IEEE INFOCOM, pp. 1611–1619.
Y. Li, C. Ai, C. Vu, Y. Pan, and R. Beyah, Delay-bounded and energy-efficient composite event monitoring in heterogeneous wireless sensor networks, IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 9, 2010, pp. 1373–1385.
Y. Li, L. Guo, and S. Prasad, An energy-efficient distributed algorithm for minimum-latency aggregation scheduling in wireless sensor networks, Proceedings of the 30th IEEE International Conference on Distributed Computing Systems (ICDCS 2010), pp. 827–836.
Y. Li, C. Ai, W. Deshmukh, and Y. Wu, Data estimation in sensor networks using physical and statistical methodologies, Proceedings of the 28th International Conference on Distributed Computing Systems (ICDCS 2008), pp. 538–545.
Y. Wu and Y. Li, Construction algorithms for k-connected m-dominating sets in wireless sensor networks, Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing (MobiHoc 2008), pp. 83–90.
Y. Li, M. Thai, F. Wang, and D. Du, On the construction of a strongly connected broadcast arborescence with bounded transmission delay, IEEE Transactions on Mobile Computing, vol. 5, no. 10, 2006, pp. 1460–1470.
M. Cardei, M. Thai, Y. Li, and W. Wu, Energy-efficient target coverage in wireless sensor networks, Proceedings of the 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2005), vol. 3, pp. 1976–1984.