Junshan Zhang

Professor
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GWC 440
480-727-7389
junshan.zhang@asu.edu

Research expertise: Wireless networks, mobile social networks, network optimization/control, cyber-physical systems, smart grid, stochastic modeling and analysis

Junshan Zhang joined the ASU faculty as an assistant professor in August 2000. He received a bachelor’s degree in electrical engineering from the Huazhong University of Science and Technology, China, in 1993, a master’s degree in mathematical statistics from the University of Georgia in 1996, and a Ph.D in electrical and computer engineering from Purdue University in 2000. He is the recipient of a 2003 NSF CAREER Award and a 2005 ONR YIP award. He was the TPC co-chair for IEEE INFOCOM 2012 and ACM MOBIHOC 2015.

Professional preparation
Ph.D., electrical engineering, Purdue University, 2000
M.S., statistics, University of Georgia, 1996
B.S., electrical engineering, HUST – China, 1993

Recognition and awards
IEEE fellow, NSF CAREER Award (2003), ONR YIP Award (2005), IEEE INFOCOM Best Paper Award runner-up (2009), IEEE ICC Best Paper Award (2008), IEEE INFOCOM Best Paper Award runner-up (2014)

Professional associations
Member of IEEE and ASEE

Selected Publication

Xu Chen, Xiaowen Gong, Lei Yang, and Junshan Zhang: “A Social Group Utility Maximization Framework with Applications in Database Assisted Spectrum Access,” IEEE INFOCOM 2014.

Xu Chen, Brian Proulx, Xiaowen Gong, and Junshan Zhang: “Social trust and social reciprocity based cooperative D2D communications.” ACM MobiHoc 2013: 187-196

Lei Yang, Hongseok Kim, Junshan Zhang, Mung Chiang, and Chee Wei Tan: “Pricing-Based Decentralized Spectrum Access Control in Cognitive Radio Networks.” IEEE/ACM Trans. Networking 21(2): 522-535 (2013)

Miao He, Vijay Vittal, and Junshan Zhang: “Online dynamic security assessment with missing PMU measurements: A data mining approach,” IEEE Transactions on Power Systems. 2013; 28(2):1969-1977.

Miao He, Junshan Zhang, and Vijay Vittal: “Robust online dynamic security assessment using adaptive ensemble decision-tree learning,” IEEE Transactions on Power Systems. 2013; 28(4):4089-4098.

S. C. Thejaswi, J. Zhang, S. Pun, V. H. Poor, and D. Zheng, “Distributed opportunistic scheduling with two-level channel probing,” IEEE/ACM Transactions on Networking, 1464-1477 (2010).