西南大学电子信息工程学院教授简介--刘光远
查看(895) 回复(0) |
|
ruier123
|
发表于 2015-08-08 09:53
楼主
刘光远
http://cms.swu.edu.cn:8080/viscms/u/cms/ceie/201311/03141634huqn.png
刘光远,男,汉族,中共党员,四川人。西南大学电子信息工程学院教授,博士生导师,信号与信息研究所所长,工学博士,心理学博士后,国务院政府特殊津贴获得者。研究领域包括:情感计算、模式识别、计算智能等。先后主持主研国家自然科学基金、教育部重大重点科技项目、重庆市科学基金等项目20余项,在《中国科学 (F辑)》、《计算机研究与发展》、《电子科学学刊》、《SCIENCE CHINA Information Sciences》等国内外学术期刊及学术会议上共发表学术论文80多篇,其中40多篇论文被SCIE\ EI \ ISTP等检索系统所收录。研究成果《计算智能及其在控制中的应用示范》获得重庆市科技进步三等奖。现任I EEE CA会员,重庆市人工智能学会常务理事,中国电子学会会员,西南大学学报(自然科学版)编委,国家自然科学基金委、教育部和重庆市科委有关项目评审专家;曾任重庆市物理学会副理事长,重庆市知识产权研究会副理事长,首届重庆市政府信息化带动工业化专家组成员,有关国际会议组织委员会或程序委员会委员,担任多个学术期刊审稿人。 主要承担电路原理、电工学、模拟电路、信号与系统、数字信号处理及智能信息处理等课程的教学任务。 联系邮箱:liugy@swu.edu.cn 学习和工作简历 1979.09-1983.07 西南师范大学物理系物理专业本科,学士 1992.09-1995.07 1992.09-1995.07 2000.10-2005.12 1983.07-1997.11 1997.12-1999.05 1999.06-至 科研项目(主持) (1)教育部重大科技项目:基于生理信号的人机情感交互理论模型及应用研究(NO.311032),2011.—2014.7 (2)国家自然科学基金面上项目:用计算智能提取情感生理信号重要特征及其组合的研究(NO.60873143),2009.1-2011.12 (3)教育部高等学校骨干教师资助计划:禁忌搜索算法及在神经网络中的应用(教技司[2000]65号),2000.06-2002.12 (4)重庆市科委基金面上项目:基于Tabu Search模糊神经计算(2003-7881,2003.8-2005-09 (5)重庆市科委基金面上项目: 禁忌搜索算法应用(99-5775),1999.01-2001.06 (6)重庆市科委基金面上项目:混沌神经网络及应用研究(99-5909) ,1999.06-2002.11 (7)重庆市科委基金面上项目:协同计算机的学习研究及在生物图像识别中的应用(CSTC,2004BB2083),2004.10-2006.09 (8)重庆市科委基金面上项目:基于生理信号的情感特征分析(CSTC,2006BB2328),2006.10-2008.9 学术论文(部分) (1)en WanHui, Qiu YuiHui, Liu GuangYuan*, Cheng NanPu, Huang XiTing. Construction and cross-correlation analysis of the affective physiological response database. Science China: Information Sciences, 2010, 53(9): 1774-1784. (2)Xu Ya,Liu GuangYuan*,Hao Min,Wen WanHui,Huang XiTing. Analysis of Affective ECG Signals toward Emotion Recognition. Journal of Electronics, 2010, 27(1): 8-14. (3)Cheng Jing, Liu Guangyuan*, Yang Zhaofang. Construction of Human-Computer Affective Interaction Assistant. Advances in Information Sciences and Service Sciences, 4(17), 83-90, 2012.(EI检索) (4)温万惠,邱玉辉,刘光远*,程南璞,黄希庭。情感生理反应样本库的建立与数据相关性分析。中国科学:信息科学,2011,41(1):77-89。 (5) 熊勰,刘光远*,温万惠.基于智能算法的生理信号情感识别,计算机科学,2011,38(3): pp 266-268. (6)郝敏,刘光远*.基于进化策略的生理信号情感识别[J].智能系统学报,2009,4(4):352-356. (7) (8) 陈红, 刘光远*, 赖祥伟. 相关性分析和最大最小蚁群算法用于脉搏信号的情感识别[J].计算机科学, 2012.39(4):250-253 (9) 曹军, 刘光远*, 赖祥伟. 量子粒子群和相关性分析在心电特征选择中的应用[J].计算机科学, 2012.39(3):209-211 (10)张洪强, 刘光远*, 赖祥伟. 随机森林算法在肌电的重要特征中选择中的应用[J].计算机科学, 2013.40(1):200-202 (11) 杨敏,刘光远*,温万慧.两类情感状态下心电与HRV信号的非线性分析[J].计算机应用,2012.32( 10) : 2963 -2965 (12) Jie WEI, Guangyuan LIU*,Wanhui WEN. Dynamical models of love with the decay of the appeal.Appl. Math. Comput.(Under review.) (13) Liu Fengru, Liu Guangyuan*, Lai Xiangwei, Wen Wanhui. The model about the affection regulation based on partial least regression in the human-computer interaction. In Proceedings of the 2012 International Conference on Natural Computation, Chongqing, 2012, 1: 1060-1063. (EI Compendex indexed, No. 20123815448819) (14)Hong Chen, Guangyuan Liu*, Xie Xiong. A Novel Feature Selection Method for Affective Recognition Based on Pulse Signal[C]. 2011 Fourth International Symposium on Computational Intelligence and Design (ISCID 2011) . vol.I, Oct.2011, pp.110-113. (Indexed by EI and ISTP). (15) Hong Qiu, Guangyuan Liu*, Fengru Liu. Affective recognition from EMG signal: An approach based on correlation analysis and adaptive Tabu Search[C].The 2011 International Conference on Mechatronic Science, Electric Engineering and Computer,V.10,pp.913-916,2011.08. (16) Fengru Liu ,Guangyuan Liu*, Xiangwei Lai ,Wanhui Wen. The model about the affection regulation based onpartial least regression in the Human-computer interaction[C], 2012 8th International Conference on Natural Computation (ICNC 2012). May.2012.pp.1060-1063. (17)Biying Liu , Guangyuan Liu* , Zhaofang Yang. Analysis of Affective State from Galvanic Skin Response Using Correlation Dimension and Embedding Dimension[C],2012 Fifth International Symposium on Computational Intelligence and Design. vol.I, Oct.2012 .pp.7-10. (18) Zhengji Long, Guangyuan Liu* and Xuewu Dai.”Extracting Emotional Features from ECG by Using Wavelet Transform”,Proceeding of the first International Conference on Biomedical Engineering and Computer Science(ICBECS2010),P404-407,2010. (19) Guanghua Wu,Guangyuan Liu*,Min Hao. The analysis of emotion recognition from GSR based on PSO. The 2010 International Symposium on Intelligence Information Processing and Trusted Computing (IPTC 2010). (20)Huiling Zhang, Guangyuan Liu*. Research of Emotion Recognition Based on Pulse Signal. Proceedings of IEEE International Conference on Advanced Computer Theory and Engineering,vol.3,Aug.2010,pp.506-509 (21) Wen WanHui, Qiu YuiHui, Liu GuangYuan*. Electrocardiography Recording, Feature Extraction and Classification for Emotion Recognition. In Proceedings of the 2009 World Congress on Computer Science and Information Engineering, Los Angeles, CA, 2009, 4: 168-172. (EI Compendex indexed, No. 20094712464745) (22)XU Ya, LIU Guang-Yuan*, “A method of emotion recognition based on ECG signal,” proceeding of the 2009 international conference on computational intelligence and natural computing (CINC’09), IEEE computer society, 2009, pp.202-205. (23)MA Chang-Wei, LIU Guang-Yuan*,” feature extraction, feature selection and classification from electrocardiography to emotions,” proceeding of the 2009 international conference on computational intelligence and natural computing (CINC’09), IEEE computer society, 2009, pp.190-193. (24) LIU Guang-Yuan, HAO Min, “emotion recognition of physiological signals based on adaptive hierarchical genetic algorithm,” proceeding of the 2009 WRI world congress on computer science and information engineering (CSIE’09), IEEE computer society, Los Angeles, California USA, 2009, pp.670-674. (25) WEN Wan-Hui, QIU Yu-Hui, LIU Guang-Yuan*,”electrocardiography recording, feature extraction and classification for emotion recognition,” proceeding of the 2009 WRI world congress on computer science and information engineering (CSIE’09), IEEE computer society, Los Angeles, California USA, 2009,pp.168-172 发明专利 国家发明专利: 已申请4项
(1) (2) 指导教师)
(1)计算智能及其在控制中的应用示范,重庆市科技进步三等奖,2006年度 (2)2001年,被重庆市教育工委授予“优秀共产党员”荣誉称号 (3)2011年,被重庆市教育工委授予“优秀共产党员”荣誉称号 |
回复话题 |
||
上传/修改头像 |
|
|