高向东，博士，教授，博士（硕士）生导师。1985年毕业于郑州大学计算机与自动化系，获工学学士学位；1988年毕业于中南大学自动化系，获工学硕士学位；1997年毕业于华南理工大学机电工程学院，获工学博士学位（与日本九州大学联合培养）。2002年：韩国先进科技研究院（KAIST）客座教授；2008年：日本大阪大学访问教授，中国政府派遣研究员；2014年：日本学术振兴会(JSPS)特邀研究员及日本大阪大学访问教授；2018年：受邀赴美国哈佛大学交流访问。先后主持完成国家自然科学基金、广东省重大科技攻关、广东省自然科学基金、广州市科技攻关、留学回国人员科研基金等科研项目40余项，在国内外期刊和国际学术会议发表论文380余篇，获国家授权专利40多件，荣获省部级等科学技术奖励10余项。与美国、日本、韩国、德国、法国等国外重点大学有长期学术合作，联合培养研究生多名。现为广东省焊接工程技术研究中心主任、广东省机械工程学会焊接分会副理事长、中国机械工程学会高级会员、中国自动化学会高级会员、中国图像学会高级会员、国家科学技术奖励评审专家。主要研究领域包括：光机电先进传感与控制，机器人自动焊接，机器视觉与模式识别，车辆自动识别与跟踪。

1.教育与研究经历

·1985年 郑州大学 工业自动化专业 获学士学位；

·1988年 中南大学 工业自动化专业 获硕士学位；

·1997年 华南理工大学 焊接自动控制专业 获博士学位；

·2008年 日本大阪大学 中国政府派遣研究员；

·2002年 韩国先进科技研究院（KAIST）客座教授；

·2014年 日本学术振兴会(JSPS)特邀研究员及日本大阪大学访问教授；

·2018年 美国哈佛大学访问交流。

2.研究方向
光机电先进传感与控制；机器人自动焊接；机器视觉与模式识别；车辆自动识别与跟踪。

3.职务、兼职和荣誉称号

·广东工业大学教授，博士（硕士）生导师

·广东省焊接工程技术研究中心主任

·广东省机械工程学会焊接分会副理事长

·中国机械工程学会高级会员

·中国自动化学会高级会员

·中国图像学会高级会员

·“广东工业大学优秀教师”称号

·“广东工业大学优秀研究生导师”称号

·“广东工业大学先进科技工作者”称号

·广东省精品课程《现代控制理论与工程》负责人

4.主持的主要项目

·高向东（主持）,国家自然科学基金51675104，不可见焊接缺陷旋转场能堆积磁光成像检测关键问题研究，2017.01-2020.12

·高向东（主持）,国家自然科学基金51175095,激光焊接不可见焊缝磁光成像自动跟踪关键问题研究, 2011.01-2014.12

·高向东（主持）,国家自然科学基金0375012,基于图像质心的焊缝跟踪新方法研究, 2003.01-2005.12

·高向东（主持）,国家自然科学基金59975030,强等离子体能量传递机理与智能控制的研究, 1999.01-2002.12

·高向东（主持）,广东省前沿与关键技术创新专项资金（重大科技专项）项目2014B090921008，锻压装备复杂结构机身体机器人自动焊接系统集成与应用，2015.01-2017.12

·高向东（主持）,广东省自然科学基金重点项目10251009001000001,大功率光纤激光焊接不可见焊缝红外识别与跟踪关键技术研究, 2010.01-2012.12

·高向东（主持）,教育部高等学校博士学科点专项科研基金（博士生导师类）20104420110001,激光焊接不可见焊缝红外识别与跟踪关键问题研究, 2010.01-2012.12

·高向东（主持）,广东省科技计划项目2007B010400069, JCOE直缝双面埋弧焊管焊缝跟踪机的研制, 2007.01-2009.12

·高向东（主持）,广州市科技计划项目2001-Z-097-01,铁路车辆轮对自动检测装置的研制, 2001.01-2003.12

·高向东（主持）,广东省科技计划项目2016A010102015，机器人焊接成形激光视觉自动检测技术，2015.09-2018.12

5.获奖情况

·广东省科技进步二等奖，三维复杂焊缝自动焊接及焊接状态多传感在线检测，2018

·中国物流与采购联合会科技进步一等奖，运输车辆结构体自动焊接及焊接质量多传感在线检测技术，2018

·中国卫星导航定位科技进步二等奖，基于北斗／GPS双模进口汽车可视化检验监管平台，2016

·中国检验检疫学会科技二等奖，新能源汽车行车状态智能采集系统设计与开发，2017

·中国物流与采购联合会科技进步一等奖，大型机械结构件智能化焊接制造生产物流系统研发与应用，2020

·中国分析测试协会科学技术一等奖，磁光成像频域特征与X射线传感分析关键技术研究，2020

·中国仪器仪表学会科学技术进步二等奖，基于车联网的新能源汽车车载终端研发及应用示范，2021

6.发表的主要论文

·Lin Wang, Xiangdong Gao*, Fanrong Kong. Keyhole Dynamic Status and Spatter Behavior during Welding of Stainless Steel with Adjustable-ring Mode Laser Beam.Journal of Manufacturing Processes. 2022, 74: 201–219.

·Xi’an Fan, Xiangdong Gao*, Nanfeng Zhang, Guangwen Ye, Guiqian Liu, Yanxi Zhang. Monitoring of 304 Austenitic Stainless-Steel Laser-MIG Hybrid Welding Process based on EMD-SVM.Journal of Manufacturing Processes. 2022, 73: 736–747.

·Nvjie Ma, Xiangdong Gao*, Congyi Wang, Yanxi Zhang. Optimization of Magneto-optical Imaging Visualization of Micro-Defects under Combined Magnetic Field Based on Dynamic Permeability.IEEE Transactions on Instrumentation and Measurement. 2021, 70:1504909.

·Yijie Huang, Xiangdong Gao*, Bo Ma, Yanxi Zhang. Interface formation and bonding mechanisms of laser welding of PMMA plastic and 304 austenic stainless steel.Metals. 2021, 11(9), 1495: 1-19.

·Xi’an Fan, Xiangdong Gao*, Guiqian Liu, Nvjie Ma, Yanxi Zhang. Research and Prospect of Welding Monitoring Technology Based on Machine Vision.International Journal of Advanced Manufacturing Technology. 2021,115:3365-3391.

·Bo Ma, Xiangdong Gao*, Lin Wang, Yanxi Zhang, Nanfeng Zhang,Deyong You.Effect of current stability on surface formation of GMAW-based multi-layer single-pass additive deposition.Journal of Mechanical Science and Technology. 2021,35 (6): 2449-2458.

·Lin Wang, Masoud Mohammadpour, Xiangdong Gao*, Jean-Philippe Lavoie, Klaus Kleine, Fanrong Kong, and Radovan Kovacevic. Adjustable Ring Mode (ARM) laser welding of stainless steels.Optics and Lasers in Engineering. 2021, 137: 106360.

·Yanfeng Li, Xiangdong Gao*, Yuquan Chen, Xiaohu Zhou, Yanxi Zhang, and Deyong You. Modeling for tracking micro gap weld based on magneto-optical sensing and Kalman filtering.IEEE Sensors Journal, 2021, 21(10): 11598-11614.

·Xiangdong Gao*, Xiaohu Zhou, Congyi Wang, Nvjie Ma, Yanxi Zhang, Deyong You. Skin Depth and Detection Ability of Magneto-Optical Imaging for Weld Defects in Alternating Magnetic Field.Journal of Manufacturing Systems. 2020, 55: 44-55.

·Xiangdong Gao*, Lin Wang, Ziqin Chen, Yanxi Zhang, Deyong You. Process Stability Analysis and Weld Formation Evaluation during Disk Laser-MAG Hybrid Welding.Optics and Lasers in Engineering. 2020, 124: 105835.

·Nvjie Ma, Xiangdong Gao*, Congyi Wang, Yanxi Zhang, Deyong You, and Nanfeng Zhang. Influence of Sampling Frequency on Magneto-Optical Imaging Under Alternating Magnetic Field Excitation.IEEE Sensors Journal, 2019, 19(23):11591-11600.

·Yanxi Zhang, Deyong You, Xiangdong Gao*, Seiji Katayama. Online Monitoring of Welding Status Based on a DBN Model During Laser Welding.Engineering, 2019, 5: 671-678.

·Lin Wang, Xiangdong Gao*, Zinqin Chen. Status analysis of keyhole bottom in laser-MAG hybrid welding process.Optics Express, 2018, 26(1): 347-355.

·Xiangdong Gao^*, Chongzhou Lan, Deyong You, Guohua Li, Nanfeng Zhang.Weldment Nondestructive Testing Using Magneto-optical Imaging Induced by Alternating Magnetic Field.Journal of Nondestructive Evaluation. 2017,36:55.

·Xiangdong Gao*, Guanxiong Huang, Deyong You, Chongzhou Lan, Nanfeng Zhang. Magneto-optical Imaging Deviation Model of Micro-gap Weld Joint.Journal of Manufacturing Systems. 2017, 42: 82-92.

·Xiangdong Gao*, Ling Mo, Deyong You, Zhuman Li. Tight butt joint weld detection based on optical flow and particle filtering of magneto-optical imaging.Mechanical Systems and Signal Processing, 2017, 96: 16-30.

·Xiangdong Gao*, Yingying Liu, ChongzhouLan, Zhenlin Xiao, Xiaohui Chen. Laser-induced infrared characteristic analysis for evaluating joint deviation during austenitic stainless steel laser welding.The International Journal of Advanced Manufacturing Technology. 2017, 88(5): 1877-1888.

·Xiangdong Gao*, Yuquan Chen, Deyong You, Zhenlin Xiao, Xiaohui Chen. Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network.Mechanical Systems and Signal Processing. 2017, 84: 570-583.

·Xiangdong Gao*, Ling Mo, Zhenlin Xiao, Xiaohui Chen, Seiji Katayama. Seam tracking based on Kalman filtering of micro-gap weld using magneto-optical image.The International Journal of Advanced Manufacturing Technology. 2016, 83: 21-32.

·Zhang Yanxi, Gao Xiangdong*, Katayama Seiji.Weld appearance prediction with BP Neural Network improved by Genetic Algorithm during disk laser welding.Journal of Manufacturing Systems. 2015, 34: 53-59.

·Deyong You, Xiangdong Gao*, and Seiji Katayama. WPD-PCA Based Laser Welding Process Monitoring and Defects Diagnosis by Using FNN and SVM.IEEE Transactions on Industrial Electronics. 2015, 62(1): 628-636.

·Deyong You, Xiangdong Gao*, and Seiji Katayama. A novel stability quantification for disk laser welding by using frequency correlation coefficient between multiple-optics signals.IEEE-ASME Transactions on Mechatronics. 2015, 20(1): 327-337.

·Deyong You, Xiangdong Gao*, Seiji Katayama. Detection of Imperfection Formation in Disk Laser Welding Using Multiple On-line Measurements.Journal of Materials Processing Technology. 2015, 219(5): 209-220.

·Gao Xiangdong*,ZhenRenhe, Xiao Zhenlin, Katayama Seiji.Modeling for detecting micro-gap weld based on magneto-optical imaging.Journal of Manufacturing Systems. 2015, 37: 193-200.

·Deyong You, Xiangdong Gao*, Seiji Katayama. Visual-based Spatter Detection during High-power Disk Laser Welding.Optics and Lasers in Engineering. 2014, 54: 1-7.

·Deyong You, Xiangdong Gao*, and Seiji Katayama. Review of laser welding monitoring.Science and Technology of Welding & Joining. 2014, 19(3): 181-201.

·Xiang-Dong Gao*, Yan-Xi Zhang.Prediction Model of Weld Width during High-Power Disk Laser Welding of 304 Austenitic Stainless Steel.International Journal of Precision Engineering and Manufacturing.2014, 15(3): 399-405.

·Deyong You, Xiangdong Gao*, Seiji Katayama. Multisensor Fusion System for Monitoring High-power Disk Laser Welding Using Support Vector Machine.IEEE Transactions on Industrial Informatics. 2014, 10(2):1285-1295.

·Xiangdong Gao*, Yonghua Liu, Deyong You.Detection of micro-weld jointbymagneto-opticalimaging.Optics & Laser Technology.2014, 62: 141-151.

·Deyong You, Xiangdong Gao*, and Seiji Katayama. Monitoring of High-power Laser Welding Using High-speed Photographing and Image Processing.Mechanical Systems and Signal Processing. 2014, 49: 39-52.

·Xiangdong Gao*, Yan Sun. Monitoring of high power disk laser welding of Type 304 austenitic stainless steel based on keyhole dynamic characteristics.Insight - Non-Destructive Testing & Condition Monitoring. 2014, 56 (6): 312-317.

·Xiangdong Gao*, Yan Sun, and Seiji Katayama. Neural network of plume and spatter for monitoring high-power disk laser welding.International Journal of Precision Engineering and Manufacturing-Green Technology. 2014, 1(4): 293-298.

·Ziqin Chen, Xiangdong Gao*. Detection of weld pool width using infrared imaging during high-power fiber laser welding of type 304 austenitic stainless steel.The International Journal of Advanced Manufacturing Technology. 2014, 74: 1247-1254.

·Xiangdong Gao*, Xungao Zhong, Deyong You, Seiji Katayama.Kalman FilteringCompensated by Radial BasisFunction Neural Network for Seam Tracking of Laser Welding.IEEE Transactions on Control Systems Technology. 2013, 21(5):1916-1923.

·Deyong You, Xiangdong Gao*, Seiji Katayama. Multiple-optics sensing of high-brightness disk laser welding process.NDT & E International.2013, 60：32-39.

·Wang Teng, Gao Xiangdong*,Katayama Seiji.Analysis of laser-induced plume during disk laser welding at different speeds.Plasma Science and Technology. 2013, 15(8): 821-824.

·X.D. GAO*, L. MO, Q. WEN, AND S. KATAYAMA.Neural Network Model for Recognizing Joint Offset during Fiber Laser Welding.Welding Journal. 2013, 92(9): 251-257.

·Xiangdong Gao*, Qian Wen, Seiji Katayama. Analysis of high power disk laser welding stability based on classification of plume and spatter characteristics.Transactions of Nonferrous Metals Society of China. 2013, 23(12): 3748-3757.

·Wang Teng, Gao Xiangdong*,Katayama Seiji, Jin Xiaoli. Study of dynamic features of surface plasma in high-power disk laser welding.Plasma Science and Technology. 2012, 14(3): 245-251.

·Xiangdong Gao*, Deyong You, Seiji Katayama. Infrared image recognition for seam tracking monitoring during fiber laser welding.Mechatronics,2012, 22(4): 370-380.

·Xiangdong Gao*, Deyong You, Seiji Katayama. WPD-PCA Based Laser Welding on Adaptive Kalman Filter Embedded Elman Neural Network during High Power Fiber Laser Welding.IEEE Transactions on Industrial Electronics. 2012, 59 (11)：4315-4325.

·Xiangdong Gao*, Dukun Ding, Tianxiang Bai,Seiji Katayama.Weld Pool Image Centroid Algorithm for Seam Tracking Vision Model in Arc Welding Process.IET Image Processing. 2011, 5(5): 410-419.

7.知识产权

·发明人：高向东，发明专利ZL201310229304.0，超微间隙对接焊缝磁旋光成像自动检测和跟踪方法

·发明人：高向东,杨雪荣,陈章兰,发明专利ZL200410015240.5,结构光视觉传感步进驱动型轮对测量方法及测量装置

·发明人：高向东，蓝重洲，发明专利ZL201610681729.9，激光电弧复合焊3D增材修补装置及修补方法

·发明人：高向东，黄冠雄，发明专利ZL 2015104128013，双波长双目视觉焊缝跟踪方法及跟踪系统

·发明人：高向东，黎扬进，王春草，发明专利ZL201810890682.6，一种微间隙焊缝跟踪方法、系统及控制终端

·发明人：高向东，代欣欣，郑俏俏，发明专利ZL201711282920.7，一种焊缝缺陷检测方法、装置、设备及系统

·发明人：高向东，马波，黄怡洁，季玉坤，发明专利ZL 201910740236.1，一种电弧增材堆积作业监测系统

·发明人：高向东；马波；黄怡洁，季玉坤，发明专利ZL 201910740959.1，一种基于结构光视觉传感的焊缝跟踪系统及方法

联系方式

地址：广东省广州市番禺区大学城外环西路100号广东工业大学机电工程学院

邮政编码：510006

EMAIL: gaoxd@gdut.edu.cn