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Li Qiang

Professor
Information and Communication Engineering
University of Electronic Science and Technology of China
China

Biography

Qiang Li received the B.Eng. and M.Phil. degrees in communication and information engineering from the University of Electronic Science and Technology of China (UESTC), Chengdu, China, and the Ph.D. degree in electronic engineering from the Chinese University of Hong Kong (CUHK), Hong Kong, in 2005, 2008, and 2012, respectively. From August 2011 to January 2012, he was a Visiting Scholar at the University of Minnesota, Twin Cities, Minneapolis, MN, USA. From February 2012 to October 2013, he was a Research Associate with the Department of Electronic Engineering and the Department of System Engineering and Engineering Management, CUHK. Since Nov. 2013, he has been with the School of Communication and Information Engineering, UESTC, where he is currently an Associate Professor. His research interests include convex optimization and its applications in signal processing with an emphasis on the physical-layer security and full-duplex communications. He has been a TPC member of VTC’14, SSP’16 and EUSIPCO’16, and published more than 30 papers on the IEEE top-tier journals and flagship conferences. Dr. Li was a recipient of the First Prize Paper Award in the IEEE Signal Processing Society Postgraduate Forum Hong Kong Chapter in 2010, and a co-recipient of a Best Paper Award of IEEE PIMRC 2016

Research Interest

Wireless and Mobile Communication

Publications

  • Q. Li, M. Hong, H.-T. Wai, Y.-F. Liu, W.-K. Ma and Z.-Q. Luo, “Transmit solutions for MIMO wiretap channels using alternating optimization,” IEEE Journal on Selected Areas in Communications, vol. 31, no. 9, pp.1714-1727, Sept. 2013.

  • Q. Li and W.-K. Ma, “Spatially selective artificial-noise aided transmit optimization for MISO multi-Eves secrecy rate maximization,” IEEE Transactions on Signal Processing, vol. 61, no. 10, pp. 2704-2717, May 2013.

  • Q. Li and W.-K. Ma, “Optimal and robust transmit designs for MISO channel secrecy by semidefinite programming”, IEEE Transactions on Signal Processing, vol. 59, no. 8, pp. 3799-3812, Aug. 2011.

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