B.S., Computer Science, Beijing Institute of Technology, 2001
M.S., Computing Science, University of Alberta, 2004
Ph.D., Computing Science, University of Alberta, 2008
Algorithm design and analysis, Internet of Things, privacy, big data, cognitive radio networks
Dr. Zhipeng Cai received his Ph.D. and M.S. degrees from the Department of Computing Science at the University of Alberta and his B.S. degree from Beijing Institute of Technology. Dr. Cai is currently an assistant professor in the Department of Computer Science at Georgia State University. Prior to joining GSU, Dr. Cai was a research faculty member in the School of Electrical and Computer Engineering at the Georgia Institute of Technology. Dr. Cai is the recipient of an NSF CAREER Award.
Dr. Cai’s research focuses on algorithm design and analysis, the Internet of Things, privacy, big data, and cognitive radio networks. Dr. Cai is particularly interested in developing consumer-aware privacy protection mechanisms for the Internet of Things, designing routing protocols and algorithms for cognitive radio networks considering the social activities of primary users and secondary users, and investigating big data management for wireless sensor networks.
Z. Cai, S. Ji, J. He, L. Wei, and A. Bourgeois, Distributed and asynchronous data collection in cognitive radio networks with fairness consideration, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 8, 2014, pp. 2020–2029.
X. Zheng, J. Li, H. Gao, and Z. Cai, Capacity of wireless networks with multiple types of multicast sessions, Proceedings of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2014), pp. 135–144.
S. Ji and Z. Cai, Distributed data collection in large-scale asynchronous wireless sensor networks under the generalized physical interference model, IEEE/ACM Transactions on Networking, vol. 21, no. 4, 2013, pp. 1270–1283.
Z. Cai, S. Ji, J. He, and A. Bourgeois, Optimal distributed data collection for asynchronous cognitive radio networks, Proceedings of the 32nd International Conference on Distributed Computing Systems (ICDCS 2012).
Z. Cai, M. F. Ducatez, J. Yang, T. Zhang, L. Long, A. C. Boon, R. J. Webby, and X. Wan, Identifying antigenicity associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning, Journal of Molecular Biology, 2012.
Z. Cai, T. Zhang, and X. Wan, Antigenic distance measurements for seasonal influenza vaccine selection, Vaccine, vol. 30, no. 2, 2012, pp. 448–453.
Z. Cai, R. Goebel, and G. Lin, Size-constrained tree partitioning: a story on approximating the multicast k-tree routing problem, Theoretical Computer Science, vol. 412, no. 3, 2011, pp. 240–245.
Z. Cai, T. Zhang, and X. Wan, A computational framework for influenza antigenic cartography, PLoS Computational Biology, vol. 6, no. 10, 2010.
Z. Cai, Z. Chen, and G. Lin, A 3.4713-approximation algorithm for the capacitated multicast tree routing problem, Theoretical Computer Science, vol. 410, no. 52, 2009, pp. 5415–5424.