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[所属栏目: 教师风采]

王为 教授

发布人:     发布时间:2017-11-23 14:08:32 

Email:weiwang@mail.tjnu.edu.cn        

教育经历

2007.9-2010.7 天津大学,测试计量技术及仪器,博士

2003.9-2006.3 天津大学,测试计量技术及仪器,硕士

1999.9-2003.7 北京科技大学,测控技术与仪器,学士

主要学术任职

2017IEEE Member        

2013-2017 International Conference onSignal Processing, Communications and Systems, TPC Co-Chair        

2015-至今,天津市无线移动通信与无线电能传输重点实验室副主任

主要科研工作经历

2017.11-至今,天津师范大学,电子与通信工程学院,教授

2012.10-2017.11,天津师范大学,电子与通信工程学院,副教授

2011.9-2012.1,美国德州大学阿灵顿分校,访问学者

2010.7-2012.10,天津师范大学,电子与通信工程学院,讲师

主要科研成果

1.论文

[1]王为,张宝菊,尹晓慧. 光纤光栅型平面冲击信号方向识别的小波包分析[J].激光与红外,2011,41(12)1392-1395.        

[2]王为,林玉池,赵美蓉等. 基于SPC与小波变换的光纤光栅型损伤识别[J].振动、测试与诊断,2011,31(5)566-569,662.        

[3]WeiWang, Baoju Zhang, Xiao hui Yin. Temperature compensation of long period fibergrating with negative strain coefficient[J]. Applied Mechanics andMaterials,2012,103:124-127.        

[4]王为,张宝菊,尹晓慧.基于光纤光栅的T形节点结构损伤识别[J],激光与红外,2012,42(2):175-178.        

[5]WeiWang, Baoju Zhang. Bayesian compressive sensing for adaptivemeasurement of radarsignal,IEEE International Conference onCommunications,DOI: 10.1109/ICC.2012.6364765,2012        

[6]WeiWang, Baoju Zhang. Adaptive sampling with Bayesian compressive in radar sensornetworks and image. EURASIP Journal on Wireless Communications and Networking2012,2012:257.        

[7]WeiWang, Baoju Zhang, Jiasong Mu. Compressive SAR raw data with principalcomponent analysis. EURASIP Journal on Wireless Communications and Networking2012,2012:258.        

[8]WeiWang, Baoju Zhang, Jiasong Mu, Xiaorong Wu. Sparsity and compressive sensingfor SAR signal. GlobeComconference,DOI: 10.1109/GLOCOMW.2012.6477791,2012.        

[9]WeiWang, Baoju Zhang, Jiasong Mu. Through wall detection of human being based onSPC and Wavelet Packet Transform by UWB radar, Communications Workshops (ICC),2013 IEEE International Conference on. DOI: 10.1109/ICCW.2013.6649373,2013.        

[10]WeiWang, Xin Zhou, Baoju Zhang, Jiasong Mu. Anomaly Detection in BigData from UWB Radars, Wiley Security and Communication Networks, olume8, Issue 14, 25 September 2015, Pages: 2469–2475.        

[11]WeiWang, Baoju Zhang, Jiasong Mu. Through Wall Human Detection Using CompressedUWB Radar Data, The Proceedings of the Second InternationalConference on Communications, Signal Processing, and Systems ,VOL.246,2013:887-892.        

[12]WeiWang, Dunqiang Lu, Xin Zhou, Baoju Zhang, Jiasong Mu. On-line anomaly detectionin big data based on compressive sensing. The Proceedings of the SecondInternational Conference on Communications, Signal Processing, and Systems ,VOL.246,2013:1059-1065.        

[13]WeiWang, Dunqiang Lu, Xin Zhou, Baoju Zhang, Jiasong Mu. Statistical wavelet-bsedanomaly detection in big data with compressive sensing. EURASIP Journal onWireless Communications and Networking.2013, 2013:269.        

[14]WeiWang, Zhangliang Chen, Jiasong Mu, Tingting Han. Throat polyps detection basedon compressed big data of voice with support vector machine algorithm. EURASIPJournal on Advances in Signal Processing. 2014,2014:1.        

[15]Wei Wang, Dunqiang Lu, Ying Wang, Qinghua Chen, Baoju Zhang. Intelligent throatpolyp detection with separable compressive sensing.Eurasip Journal on Advancesin Signal Processing 2014,2014:6.        

[16]Ying Yun, Wei Wang*.,Big data stream anomaly detection with spectral method forUWB radar data. The Proceedings of the Third International Conference onCommunications, Signal Processing, and Systems ,VOL.3222014253-259.        

[17]WeiWang, Shan Qin.Statistical Analysis for hull stress monitoring signal withnested array.International Journal of Distributed Sensor Networks, VOL. 2015,Article ID 469789, 5 pages, 2015.        

[18]Wei Wang * , Shan Qin, Dan Wang, Lei Xue, Throat polyp detection based on theKPCA and Neural Network Pattern Recognition , Proceedings of the 2015International Conference on Communications, Signal Processing, andSystems,VOL.386,2015:763-771.        

[19]WeiWang, Dan Wang, Shan Qin and Lei Xue, Anomaly detection in big data withseparable compressive sensing,Proceedings of the 2015 International Conferenceon Communications, Signal Processing, and Systems,VOL.3862015:589-594.        

[20]Baoju Zhang, Shan Qin,Wei Wang*,Dan Wang,LeiXue. Data stream clustering basedon FCM and entropy theory.Signal Processing, 2016 , 126 (2) :111-116.
[21]Wei Wang*, Baoju Zhang, Dan Wang,Shan Qin, Lei Xue.Signal Processing        

AnomalyDetection Based on Probability Density Function with Kullback-LeiblerDivergence.Signal Processing,VOL.126,2016: 12-17.        

[22]Wei Wang*,Dan Wang,Yu Jiang multiple statues ofthrough-wall human being detection based on compressed uwb radar data.. Eurasipof Wireless Communication and network2016,2016:203.        

[23]Baoju Zhang, Lei Xue, Wei Wang*, Shan Qin, Dan Wang.Eurasip of WirelessCommunication and network, Model Updating Mechanism of Concept Drift Detectionin Data Stream Based on Classifier Pool. EURASIP Journal on WirelessCommunications and Networking,2016,2016:217.        

[24]WeiWang*, Dan Wang.KNN classification algorithm for multiple statues detection ofthrough wall human being.Communications, Signal Processing, and Systems,VOL.423,2016229-235.        

[25]WeiWang*, Dan Wang. Energy Efficient Distributed Compressed Data Gathering forsensor networks. Ad Hoc Networks,2016.        

[26]JiWu,WeiWang*,QilianLiang,XiaorongWu,BaojuZhang, Compressive sensing based-data encryptionsystem with application to sense-through-wall UWB noise radar, WileyJournal of Security and Communication Networks, 2016,9:371-379.        

[27]WeiWang, Dan Wang, Baoju Zhang, Tao Li, Shu Jiang.Through-wall Multi-status TargetIdentification in Smart and Autonomous Systems with UWB Radar, IEEE Internet ofThings Journal, 2017.        

[28]WeiWang, Min Zhang, Dan Wang, Yu Jiang. Kernel PCA feature exaction and SVMclassification algorithm for multiple statuses detection of through wall humanbeing. Eurasip Journal Wireless Communication and Networks. 2017,12,2017:151.        

2.专利

[1]基于可控屈曲结构的光纤光栅大量程加速度传感器,实用新型专利,授权专利号:201120306907.2

[2]一种基于分离式二维压缩感知理论的压缩成像系统,实用新型专利:授权专利号:201220342045.3

[3] 一种基于分离式二维压缩感知理论的压缩成像系统,发明专利授权号:ZL 2012 1 0244350.3

[4]用于船体结构的长基应力传感器,实用新型专利号:201520860673.4,发文日:2016122日,发文序号:2016011900128960

[5]一种用于复杂结构部位光纤光栅传感器的安装装置,实用新型专利,专利号:201621262805.4,发文序列号:2016112501083040

[6]用于船体结构的长基应力传感器及使用方法,发明专利,专利号:201510729835.5,发文序号:2017061900079860

3.项目

[1] 基于可控屈曲结构的光纤光栅加速度测量技术,天津师范大学博士基金项目,立项时间:2010-12-1,结项时间:2013-12-1,经费来源:4万元,总人数:6,排名:1.        

[2] 基于压缩感知的大尺寸图像分级压缩编码研究,天津市高等学校科技发展基金计划项目,立项时间:2010-12-1,结项时间:2013-12-1,经费来源:3万元,总人数:5,排名:1.        

[3]基于分离式压缩传感技术的成像理论研究与实现,天津市自然科学基金青年基金,立项时间:2012-3,经费:8万元,排名:1        

[4]基于改进层式余弦和轮廓波变换视频分级编码研究与实现,天津市自然科学基金面上项目,立项时间:2010-3,经费:10万,排名:2        

[5]光纤光栅应变传感系统基础技术开发. 横向项目,立项时间:2012-06-30,结项时间:2012-08-20.经费:25万,排名:1        

[6]基于分离式二维压缩感知的自适应成像系统研究,国家自然基金面上项目,资助金额:80万,立项时间:2013-01-01,排名:4        

[7]混合无线网络中频谱资源优化和协同传输机制研究,国家自然基金面上项目,资助金额:80万,立项时间:2014-01,排名:4        

[8] 基于COFDM的机载无线高清图像传输关键技术研究,天津市自然基金面上项目,资助金额:10万,立项时间:2013-04,排名:3        

[9] 小型高速舰艇应力测量光纤光栅传感网开发,省部级重点项目,立项时间:2014.03.27,资助金额:95万,排名:1.        

[10] 基于光纤光栅的船体应力监测系统研究,校级重点开发基金,立项时间:2014.12,资助金额:5万,排名:1        

[11]无线智能电网容量和可实现性的关键技术研究,天津市自然科学基金重点项目,2015.4-2018.320万,排名:2        

[12] 基于压缩域传感网数据流的状态识别算法研究(61501326),青年科学基金项目,立项时间:2016.01,资助金额:21万,排名:1        

[13] 小型高速舰艇现场应力测量与校准设备研制开发,省部级重点项目,立项时间:2016.01.01,资助金额:50,排名:1        

[14] 基于压缩感知的高能效大数据异常检测。天津市自然科学基金(一般项目)16JCYBJC16500,立项时间:20164月,资助金额:10,排名:1        

[15] 基于传感网的地质灾害监测研讨会,国家自然科学基金国际合作项目,61781330121,立项时间:2017.2.10,资助金额:15,排名:1        

[16]面向空间监测的三维可移动无线传感器网络理论与技术,国家自然科学基金重点项目,61731006,时间:2018.1.1-2022.12.31,资助金额:290万,排名第五

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