基本信息 何光辉，博士，重庆市工业与应用数学常务理事，重庆市大学生数模竞赛专委会成员，重庆市认知学会常务理事。

教育背景 重庆大学数学学士、计算机科学与技术硕士和博士

科研项目 主研国家自然科学基金、省部级教改、科研等项目10余项 专著、译著和教材等 1. Guanghui He, Zhang Lingfeng, Shang Zhaowei, Correlation-Based Multidimensional Scaling for Unsupervised Subspace Learning, International Journal of Wavelets, Multiresolution and Information Processing, 2012，v10(3). 2. Guanghui He , Yuanyan Tang, Taiping Zhang, Bionic Face Recognition Using Gabor Transformation, International Journal of Pattern Recognition and Artificial Intelligence, 2011, 25(3). 3. Guanghui He , Yuanyan Tang, TaipingZhang, A novel approach for face recognition based on weightiness image partition, 3rd International Conference on Bioinformatics and Biomedical Engineering, iCBBE 2009. 4. Guanghui He , Yuanyan Tang, TaipingZhang, Weightiness image partition in 3D face recognition, 2009 IEEE International Conference on Systems, Man and Cybernetics, SMC 2009. 5. Guanghui He,, Shang Zhaowei, Hengxin Chen, Distance-ratio learning for data visualization, International Journal of Wavelets, Multiresolution and Information Processing. Vol. 10, No. 6 (2012) 1250055 (11 pages).. 6. Taiping Zhang, Bin Fang, Yuan Yan Tang, Guanghui He, and Jing Wen, Topology preserving non-negative matrix factorization for face recognition, IEEE Transactions on Image Processing, 2008, 17(4), pp. 574-584. 7. Taiping Zhang, Bin Fang, Yuan Yan Tang, Guanghui He. A Least-Squares Model to Orthogonal Linear Discriminant Analysis, International Journal of Pattern Recognition and Artificial Intelligence, 2010, 24(4), pp. 635-650. 8. Taiping Zhang, Bin Fang, Weining Liu, Yuan Yan Tang, Guanghui He, and Jing Wen, Total variation norm-based nonnegative matrix factorization for identifying discriminant representation of image patterns, Neurocomputing, 2008, 71(10-12) , pp. 1824-1831.

主讲课程 《数值分析》 《高等数学》 《数据结构》

获奖情况 重庆大学河钢奖（2019年） 重庆大学唐立新优秀教师奖（2017年） 国家级教学成果二等奖1项（2014年） 重庆大学教学工作优秀教师（2014年） 重庆市教学成果一等奖1项（2013年） 重庆市数学建模竞赛优秀指导教师（2011,2012,2017）

研究方向 研究方向为数据挖掘、模式识别、小波分析