考博考生生准备要参加博士研究生考试时，必须要先确定准备攻读博士的相关专业，然后选择该专业有招生需求的学校，接下来应该联系博士生导师，只有当博士生导师同意考生报考，考博生才可以报考。所以提前了解博士生导师的学术文章及联系方式很重要，新东方在线特整理了各招收博士院校博导的简介及联系方式供考博生参考。
博士，教授，博导。获全国百优博士学位论文，教育部新世纪优秀人才，国家优秀青年科学基金，湖北省杰出青年基金。在RSE、EST等SCI刊物发表论文90余篇，被引2600余次。担任IEEE GRSL、PE&RS副主编、IEEE JSTARS、JARS客座编辑
黄昕，1982年4月生于湖北武汉，工学博士，教授，博导，珞珈特聘教授。2012年全国百篇优秀博士学位论文获得者，2011年入选教育部新世纪优秀人才，2015年获得国家优秀青年科学基金，2017年获得湖北省杰出青年基金。IEEE高级会员(Senior Member)。长期从事遥感影像处理与应用研究，已在RSE、EST、IEEE TGRS、ISPRS Journal等国际刊物发表SCI论文90余篇。SCI引用1700余次，Google Scholar引用2600余次，7篇论文入选ESI高引论文，6篇论文入选汤森路透研究前沿(research front)。担任IEEE GRSL、PE&RS副主编(Associate Editor)，以及IEEE JSTARS和JARS客座编辑(Lead Guest Editor)。
他的论文被国际著名刊物IEEE TGRS、IEEE JSSTARS作为封面报道;获得美国摄影测量与遥感协会(ASPRS)2010年最佳论文奖(Boeing奖)。2012年获得IEEE Geoscience and Remote Sensing Letters (IEEE GRSL)最佳审稿人奖。2014年获得IEEE Data Fusion Contest(IEEE数据融合大赛)冠军。2011年和2016年两次获得湖北省自然科学一等奖。
* 研究方向：遥感影像信息提取与分析;城市生态环境。
* 联系方式：huang_whu@163.com, xhuang@whu.edu.cn;
* 欢迎有志于学术研究、关注生态环境的本科生、研究生、博士后等科研人员加入VHR研究团队!
教育经历(Education)
• 2000-2004, B.E., Remote Sensing, Wuhan University, Wuhan, China
• 2004-2009, PH.D, Remote Sensing, Wuhan University, Wuhan, China
职业(Positions and Employment)
• 2014, Honorary Research Scientist, CRISP, National University of Singapore
• 2012.11 – Present, Full Professor, Wuhan University
• 2010.11 – 2012.11, Associate Professor, Wuhan University
• 2009.07 – 2010.11, Assistant Professor, Wuhan University
Publication List (Peer-reviewed International Journal Papers)
(89) Huang Xin, Wen Dawei, Li Jiayi, Qin Rongjun. Multi-level monitoring of subtle urban dynamics for megacities of China using high-resolution multi-view satellite imagery. Remote Sensing of Environment, 2017, 196, 56-75. (IF = 5.881, Top期刊)
(88) Xie Cong, Huang Xin, Mu Hongqiang, Yin Wei, Impacts of Land-Use Changes on the Lakes across the Yangtze Floodplain in China. Environmental Science & Technology, 2017, 51(7): 3669-3677. (IF = 5.393, Top期刊)
(87) Guo Xian, Huang Xin, Zhang Lefei, Zhang Liangpei, Antonio Plaza, Jón Atli Benediktsson. Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(6): 3248-3264. (IF = 3.360, Top期刊)
(86) Xu Xiang, Li Jun, Huang Xin, Dalla Mura Mauro and Plaza Antonio. Multiple Morphological Component Analysis d Decomposition for Remote Sensing Image Classification. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(5): 3083-3102. (IF = 3.360, Top期刊)
(85) Wen Dawei, Huang Xin, Zhang Liangpei, and Jon Atli Benediktsson. A novel automatic change detection method for urban high-resolution remotely sensed imagery d on multiindex scene representation. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 609-625. (IF = 3.360, Top期刊)
(84) Huang Xin, Liu Hui, and Zhang Liangpei. Spatiotemporal detection and analysis of urban villages in mega city regions of China using high-resolution remotely sensed imagery. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(7): 3639-3657. (IF = 3.360, Top期刊)
(83) Li Jun, Huang Xin, Paolo Gamba, Jose M. Bioucas, Zhang Liangpei, Jon Atli Benediktsson, Antonio Plaza. Multiple feature learning for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(3): 1592-1606. (IF = 3.360, Top期刊)
(82) Huang Xin, Lu Qikai, Zhang Liangpei, Antonio Plaza. New post-processing methods for remote sensing image classification: a systematic study. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(11): 7140-7159. (IF = 3.360, Top期刊)
(81) Zhang Lefei, Zhang Liangpei, Tao Dacheng, Huang Xin, Du Bo. Hyperspectral remote sensing image subpixel target detection d on supervised metric learning. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(8): 4955-4965. (IF = 3.360, Top期刊)
(80) Zhang Lefei, Zhang Liangpei, Tao Dacheng, and Huang Xin. Sparse transfer manifold ding for hyperspectral target detection. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(2): 1030-1043. (IF = 3.360, Top期刊)
(79) Li Jiayi, Zhang Hongyan, Zhang Liangpei, Huang Xin, and Zhang Lefei. Collaborative representation with multi-task learning for hyperspectral image classification. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(9): 5923-5936. (IF = 3.360, Top期刊)
(78) Huang Xin, and Zhang Liangpei. An SVM ensemble approach combining spectral, structural, and semantic features for the classification of high-resolution remotely sensed imagery. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(1): 257-272. (IF = 3.360, Top期刊)