华光

    部门: 通信工程系

    姓名: 华光

    邮箱: ghua(at)whu.edu.cn

    性别:

    职称: 特聘研究员

    学历学位: 博士

    导师类型: 博导

    通信地址: 八一路299号,武汉大学电子信息学院

    邮政编码: 430072


    主要经历:

    学习经历: 2010.08 - 2014.06 南洋理工大学 电机与电子工程学院 信息工程博士

    2009.09 - 2010.08 南洋理工大学 电机与电子工程学院 信号处理硕士

    2005.09 - 2009.06 武汉大学 电子信息学院 通信工程学士

    任职经历: 2017.04 -            武汉大学 电子信息学院 特聘研究员

    2015.12 - 2016.12 南洋理工大学 电机与电子工程学院 博士后

    2013.07 - 2015.11 新加坡科技研究局 资讯通信研究院 初级研究员(Scientist I)


    研究生课程: 专业外语


    科学研究:

    主要研究方向: 多媒体数字取证;信息隐藏,数字水印;(阵列)信号检测与估计;凸优化、压缩感知、机器学习应用


    主要论文及著作:


    Book:

    [1] Y. Xiang, G. Hua, and B. Yan,Digital Audio Watermarking–Fundamentals, Techniques and Challenges,Springer, 2017.


    Journals:

    [15] B. Yan, Y. Xiang, and G. Hua, "Improving the Visual Quality of Size-Invariant Visual Cryptography for Grayscale Images: An Analysis-by-Synthesis (AbS) Approach," IEEE Transactions on Image Processing, Accepted, 2018.

    [14] G. Hua, L. Zhao, G. Bi, H. Zhang, and Y. Xiang, "Random Matching Pursuit for Image Watermarking," IEEE Transactions on Circuits and Systems for Video Technology, Accepted, 2018.

    [13] N. Fatema, G. Hua, Y. Xiang, D. Peng, and I. Natgunanathan, “Massive MIMO linear precoding: A survey,” IEEE Systems Journal, Accepted. 2018.

    [12] Y. Xiang, I. Natgunanathan, D. Peng, and G. Hua, “Spread spectrum audio watermarking using multiple orthogonal PN sequences and variable embedding strengths and polarities,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 3, pp.529-539,  Mar. 2018.

    [11] I. Natgunanathan, Y. Xiang, G. Hua, G. Beliakov, and J. Yearwood, “Patchwork-based multilayer audio watermarking,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 11, pp. 2176-2187, Nov. 2017.

    [10] H. Zhang, G. Hua, L. Yu, Y. Cai, and G. Bi, “Underdetermined blind separation of overlapped speech mixtures in time-frequency domain with estimated number of sources,” Speech Communication, vol. 89, pp. 1-16, 2017.

    [9] G. Hua and V. L. L. Thing, “On practical issues of electric network frequency based audio forensics,” IEEE Access, vol. 5, pp. 20640-20651, 2017.

    [8] G. Hua, J. Huang, Y. Q. Shi, J. Goh, and Vrizlynn L. L. Thing, “Twenty years of digital audio watermarking – a comprehensive review,” Elsevier Signal Processing, vol. 128, pp. 222-242, Nov. 2016.

    [7] G. Hua, Y. Xiang, and G. Bi, “When compressive sensing meets data hiding,” IEEE Signal Processing Letters, vol. 23, no. 4 , pp. 473-477, Apr. 2016.

    [6] G. Hua, Y. Zhang, J. Goh, and Vrizlynn L. L. Thing, “Audio authentication by exploring the absolute-error-map of the ENF signals,” IEEE Transactions on Information Forensics and Security, vol. 11, no. 5, pp. 1003-1016, May 2016.

    [5] G. Hua, J. Goh, and V. L. L. Thing, “Cepstral analysis for the application of echo-based audio watermark detection,” IEEE Transactions on Information Forensics and Security, vol. 10, no. 9, pp. 1850-1861, Sep. 2015.

    [4] G. Hua, J. Goh, and V. L. L. Thing,“Time-spread echo-based audio watermarking with optimized imperceptibility and robustness,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 23, no. 2, pp. 227-239, Feb. 2015.

    [3] G. Hua, J. Goh, and V. L. L. Thing, “A dynamic matching algorithm for audio timestamp identification using the ENF criterion,” IEEE Transactions on Information Forensics and Security, vol. 9, no. 7, pp. 1045-1055, Jul. 2014.

    [2] G. Hua and S. S. Abeysekera, “MIMO radar transmit beampattern design with ripple and transition band control,” IEEE Transactions on Signal Processing, vol. 61, no. 11, pp. 2963-2974, Jun. 2013.

    [1] G. Hua and S. S. Abeysekera, “Receiver design for range and Doppler sidelobe suppression using MIMO and phased-array radar,” IEEE Transactions on Signal Processing, vol. 61, no. 6, pp. 1315-1326, Mar. 2013.


    获奖情况: 2014国际网络安全数据挖掘比赛(CDMC2014)第一名小组成员

    主要社会及学术兼职: IEEE 会员,IWDW 2016/2017技术委员会成员

    IEEE Access 2016信息隐藏特刊特邀副编辑

    IEEE TSP, IEEE TASLP, IEEE TIFS, IEEE TVT, IEEE SPL, SP 等期刊审稿人