王茜蒨
近期热点
资料介绍
个人简历
教育经历 1988.09-1992.07,北京理工大学,学士B.S; 1992.09-1995.02,北京理工大学,硕士M.S; 1997.09-2002.03,北京理工大学,博士Ph.D。工作经历 2006.12-2007.12,德国亚琛工业大学夫琅和费激光技术研究所,访问学者; 1995.04-至今,北京理工大学光电学院,教师个人简介 王茜蒨,博士,教授,博士生导师,北京理工大学光电学院副院长。1995年4月研究生毕业留校工作至今,2002年3月获北京理工大学物理电子学专业博士学位,2007年在德国亚琛工业大学Fraunhofer激光技术研究所从事研究工作,2007年1月聘为博士生导师。长期从事光电子与激光技术方面的教学和研究工作,主要研究方向包括激光诱导击穿光谱、机器学习与模式识别,光电成像与检测,光子器件设计与仿真等。 先后主持完成国家自然科学基金、北京市自然基金、国防预研以及光电装备研制等40余项。获国防科学技术一等奖1项(排名5)、国防科学技术三等奖1项(排名1)、军队科技进步三等奖3项(排名2、4、6),北京市科学技术三等奖1项(排名第3),以第一发明人申请国家发明专利15项,获国家发明专利授权10项,国防发明专利1项。出版学术专著1本,国家及部级重点教材5本,其中3本被评为北京市精品教材。以第一或通信作者在Journal of Hazardous Materials、Optics Express等国际及国内期刊上发表学术论文100余篇,其中SCI论文20余篇,另有30余篇被EI检索。受邀在国际和国内学术会议上作大会报告10余次。 主讲本科生专业基础课《激光原理与技术》、研究生《光电传感基础》等课程,作为负责人先后承担本科和研究生教研教改项目3项。先后获得北京理工大学“师德先进个人”、“三育人先进个人”、“优秀党员”、“优秀博士论文指导教师”等荣誉称号,以及两项教学成果二等奖(分别排名第1、3)。已指导毕业博士生4名,硕士生36名,在校博士生9名(包括外国学生2名),硕士生7名。指导的博士获校“优秀博士学位论文”;指导的硕士获校“优秀研究生标兵”称号、航天科工(CASIC)奖学金等。指导学生参加高水平竞赛,获第一届中国研究生人工智能创新大赛一等奖和第七届全国大学生光电设计竞赛(华北区赛)二等奖研究领域
1. 激光光谱技术; 2. 机器学习与模式识别; 3. 光电成像与检测; 4. 光子器件设计与仿真"发明专利 以第一发明人授权的专利如下: 1. 一种局部照射下目标激光散射特性的简便计算方法,ZL 2016 1 1068996.5,2019.4 2. 一种非球面反射式激光诱导光谱激发/收集系统,ZL 2016 1 0012660.0,2018.7 3. 一种三模**复合天线及其设计方法, ZL 2010 1 0051007.8,2014.4 4. 一种测量和观瞄同步的飞焦级激光微能量计, ZL 2010 1 0614603.2,2012.8 5. 一种具有自动跟踪功能的飞焦级激光微能量计近期论文
代表性论文 发表的主要SCI检索论文如下: 1. Du Y, Wang Q, Zhao Y, Cui XT, Peng Z. Rapid qualitative evaluation of velvet antler using laser-induced breakdown spectroscopy (LIBS). Laser Physics, 2019, 29(9): 095602. 2. Qianqian Wang, Geer Teng, Yu Zhao, Xutai Cui, Kai Wei. Identification and Determination of the Bloodstains Dry Time in the Crime Scenes Using Laser-Induced Breakdown Spectroscopy. IEEE Photonics Journal, 2019, 11(3): 5700212. 3. Wang Q*, Zhao J. LRCS model verification based on the Feature Selective Validation method. Optics and Laser Technology, July 2019, 115(7):384-389. 4. Qianqian Wang*, Geer Teng, Chenyu Li, Yu Zhao, Zhong Peng. Identification and classification of explosives using semi-supervised learning and laser-induced breakdown spectroscopy. Journal of Hazardous Materials, MAY 2019, 369(5): 423-429. 5. Cui X, Wang QQ, Zhao Y, Qiao XL, Teng G. Laser-induced breakdown spectroscopy (LIBS) for classification of wood species integrated with artificial neural network (ANN). APPLIED PHYSICS B-LASERS AND OPTICS, 2019, 125(4): 56. 6. G. Teng, Q. Wang#, J. Kong, L. Dong, X. Cui, W. Liu, K. Wei, W. Xiangli. Extending the spectral database of laser-induced breakdown spectroscopy with generative adversarial nets. Opt. Express, 2019, 27(5): 6958-6969. 7. Q. Wang*, J. Zhao, B. Shan, X. Li. A novel method for laser radar cross section calculation of complex laser targets with partial and Gaussian beam irradiation. Laser Physics, 2018, 28(12): 126207. 8. Q. Wang*, G. Teng, X. Qiao, Y. Zhao, J. Kong, L. Dong, X. Cui. Importance evaluation of spectral lines in Laser-induced breakdown spectroscopy for classification of pathogenic bacteria. Biomedical Optics Express, 2018, 9(11): 5837-5850. 9. Qianqian Wang*, Jing Zhao, Yong Gong, Qun Hao and Zhong Peng. Hybrid artificial bee colony algorithm for parameter optimization of five-parameter bidirectional reflectance distribution function model[J]. Applied Optics, 2017, 56(33): 9165-9170. 10. Wang Q, Zhao Y, Lu X, Peng Z, Liu L. Progress in Laser Induced Breakdown Spectroscopy and Raman Spectroscopy for Hazardous Material Detection. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37 (8): 2430-2434. 11. Zhao J, Wang Q, Shan B, et al. Study on Feature Selective Validation technology in measurement of laser scattering properties[J]. IEEE Photonics Technology Letters, 2016, 28(20): 2125 - 2128. 12. He L, Wang Q, Zhao Y, Liu L, Peng Z. Study on Cluster Analysis Used with Laser-Induced Breakdown Spectroscopy[J]. PLASMA SCIENCE & TECHNOLOGY, 2016, 18(6):647-653. 13. Wang Q, He L, Zhao Y, Peng Z, Liu L. Study of cluster analysis used in explosives classification with laser-induced breakdown spectroscopy[J]. Laser Physics, 2016, 26(6): 065605. 14. Qian-Qian Wang, Kai Liu, Hua Zhao, Cong-Hui Ge, Zhi-Wen Huang. Detection of Explosives with Laser-induced Breakdown Spectroscopy. Frontiers of Physics, 2012, 7(6): 701-707. 15. Qian-Qian Wang, Kai Liu, Hua Zhao. Multivariate Analysis of Laser-Induced Breakdown Spectroscopy for Discrimination between Explosives and Plastics. Chin. Phys. Lett. 2012, 29(4): 044206。 16. WANG Qian-qian, Huang Zhi-Wen, Liu Kai. Classification of plastics with Laser-induced breakdown spectroscopy based on Principal Component Analysis and Artificial Neural Network Model. Spectrosc. Spectr. Anal. 2012,32 (12) 3179-3182. 17. Zhao Hua, Wang Qian-qian, Liu Kai, Ge Cong-hui. Research on Inorganic Explosive and Its Principal Component with Laser-Induced Breakdown Spectroscopy. Spectrosc. Spectr. Anal., 2012, 32(3): 577-581. 18. LIU Kai, Wang Qian-qian, Zhao Hua, Xiao Yin-long. Differentiation of Plastic with laser Induced Breakdown Spectroscopy. Spectrosc. Spectr. Anal., 2011, 31(5): 1171-1174. 19. Qianqian Wang, Peter Jander, Cord Fricke-Begemann, Reinhard Noll. Comparison of 1064 nm and 266 nm excitation of laser-induced plasmas for several types of plastics and one explosive. Spectroc. Acta Pt. B-Atom. Spectr. 2008, 63(10): 1011–1015.1. 中国光学工程学会激光诱导击穿光谱(LIBS)专业委员会常务委员; 2. 中国光学学会光电专委会委员; 3. 中国兵工学会光学专委会委员; 4. 留德中国物理学者学会会员; 5. 国际光学工程学会(SPIE)会员; 6. 美国光学学会(OSA)会员; 7. Optics Express、Optics letters、Applied Optics等6种国际期刊审稿人; 8. 担任国家重大科学仪器设备开发专项项目技术专家组专家 相关热点