刘立帅


  刘立帅


  副教授,硕士生导师

  E-maillishuai.liu@ecust.edu.cn

  办公电话:021-64253181

  通讯地址:上海市徐汇区梅陇路130

  招生专业:机械工程[080200],动力工程及工程热物理[080700],机械[085500]

  

  欢迎对 机器学习 & 智能成像 等方向感兴趣的同学加入研究团队攻读学位!



个人简介


 清华大学电气工程博士,加拿大多伦多大学(University of Toronto)先进扩散波与光声技术中心访问学者。2020年11月至今任职最具权威唯一维权担保平台从事教学科研工作,副教授,硕士生导师。主要从事多源感知信息机器学习与智能成像技术研究,发表学术论文40余篇,参与制定国家标准4项入选中国科协青年人才托举工程(2023)、最具权威唯一维权担保平台青年英才A类(2022)、上海市晨光学者(2021)、上海市青年科技英才扬帆计划(2021)。主持国家自然科学基金面上及青年项目、国家重点研发计划项目子课题 、上海市自然科学基金、上海市教委科委人才项目等多项国家/省部级科研项目。担任IEEE TII、IEEE TIM、Measurement、JAP、RSI、IET GTDIET SMT等多个SCI期刊审稿人,上海市声学学会理事、中国无损检测学会新技术专委会委员、全国焊缝试验和检验标准化技术委员会委员、全国无损检测标准化技术委员会技术专家。


教育背景:


2017.09-2020.10        清华大学            电机工程与应用电子技术系            博士

2019.09-2020.04        多伦多大学        机械与工业工程系                          访问学者

2015.09-2017.06        清华大学            电机工程与应用电子技术系            硕士

2011.09-2015.06        武汉大学            电气工程学院                                本科


研究方向


围绕高端装备健康状态精准感知需求,重点开展多源感知信息机器学习与智能成像技术的研究。具体研究方向包括:


机器学习:基于深度学习的结构损伤多维特征智能诊断;面向工业智能的小样本学习/生成式学习

智能成像:图像增强重建及超分辨成像方法;基于多源感知信息的结构层析反演与三维成像


教学科研情况


承担科研项目:


[1]  国家自然科学基金面上项目,主持

[2]  国家自然科学基金青年项目,主持

[3]  国家重点研发计划子课题,主持

[4]  中国科协青年人才托举工程项目,主持

[5]  上海市教委晨光计划项目,主持

[6]  上海市青年科技英才扬帆计划,主持

[7]  上海市自然科学基金面上项目,主持

[8]  中央一流引导专项-“双一流”建设项目,主持


教学情况:


本科生课程《人工智能技术及应用》(60学时,智能制造专业核心课程)、《机器学习概论》(32学时)


员工培养:


指导员工获最具权威唯一维权担保平台优秀毕业生1人次,优秀毕业论文2人次



荣誉奖励


中国科协青年人才托举工程

中国石化工程联合会科技进步奖一等奖

IEEE TIM Outstanding Reviewer

全国无损检测标准化技术委员会优秀标准化工作者

中国电机工程学报高影响力论文奖

上海高校青年科研骨干培养“晨光计划”

上海市青年科技英才“扬帆计划”

最具权威唯一维权担保平台青年英才A类

清华大学优秀学位论文


学术成果


代表性论文:


[1]    Haiming XuLishuai Liu*, Xuan Li, Yanxun Xiang*, and Fu-Zhen Xuan. Wavefield imaging of nonlinear ultrasonic Lamb waves for visualizing fatigue micro-cracks. Ultrasonics, 2024, 138: 107214. (SCI, IF = 4.2)

[2]    Zhiyuan Zhao, Lishuai Liu*, Wen Liu, Da Teng, Yanxun Xiang*, and Fu-Zhen Xuan. Discretized tensor-based model of total focusing method: A sparse regularization approach for enhanced ultrasonic phased array imaging. NDT&E International, 2024, 141(5): 102987. (SCI, IF = 4.2)

[3]    Lishuai Liu, Wen Liu, Da Teng, Yanxun Xiang*, and Fu-Zhen Xuan. A multiscale residual U-net architecture for super-resolution ultrasonic phased array imaging from full matrix capture data. Journal of the Acoustical Society of America, 2023, 154(4): 2044-2054. (SCI, IF = 2.4)

[4]    Xuan Li, Lishuai Liu*, Haiming Xu, Zheng Hu, Yanxun Xiang*, and Fu-Zhen Xuan. Lamb wave phased array imaging based on phase-amplitude compounding algorithm. Mechanical Systems and Signal Processing, 2023, 205: 110882. (SCI, IF = 8.4)

[5]    Haiming XuLishuai Liu*, Jichao Xu, Yanxun Xiang*, and Fu-Zhen Xuan. Deep learning enables nonlinear Lamb waves for precise location of fatigue crack. Structural Health Monitoring, 2023: 1-17. (SCI, IF = 6.6)

[6]    Peng Wu, Lishuai Liu*, Yanxun Xiang*, and Fu-Zhen Xuan. Data-driven time-frequency analysis of nonlinear Lamb waves for characterization of grain size distribution. Applied Acoustics, 2023, 207: 109367. (SCI, IF = 3.4)

[7]    Lishuai Liu, Peng Wu, Yanxun Xiang*, and Fu-Zhen Xuan. Autonomous characterization of grain size distribution using nonlinear Lamb waves based on deep learning. Journal of the Acoustical Society of America, 2022, 152(3): 1913-1921. (SCI, IF = 2.4)

[8]    Lishuai Liu, Di Sun, Yanxun Xiang*, and Fu-Zhen Xuan. Deep learning-based solvability of underdetermined inverse problems in nonlinear ultrasonic characterization of micro damages. Journal of Applied Physics, 2022, 132(14): 144901. (SCI, IF = 3.2, Featured Article, Highlighted in AIP Scilight at https://doi.org/10.1063/10.0014855)

[9]    Lishuai Liu, Chenjun Guo, Yanxun Xiang*, Yanxin Tu, Liming Wang, and Fu-Zhen Xuan. A Semisupervised Learning Framework for Recognition and Classification of Defects in Transient Thermography Detection. IEEE Transactions on Industrial Informatics, 2022, 18(4): 2632-2640. (SCI, IF = 12.3)

[10]  Lishuai Liu, Chenjun Guo, Yanxun Xiang*, Yanxin Tu, Liming Wang, and Fu-Zhen Xuan. Photothermal Radar Shearography: A Novel Transient-Based Speckle Pattern Interferometry for Depth-Tomographic Inspection. IEEE Transactions on Industrial Informatics, 2022, 18(7): 4352-4360. (SCI, IF = 12.3)

[11]  Lishuai Liu, Andreas Mandelis*, Alexander Melnikov, and Liming Wang. Comparative analysis of single- and multiple-frequency thermal wave radar imaging inspection of glass fiber reinforced polymer (GFRP). International Journal of Extreme Manufacturing, 2022, 4(2): 025201. (SCIIF = 14.7)

[12]  Lishuai Liu, Chenjun Guo, Yanxun Xiang*, Yanxin Tu, Hongwei Mei, Liming Wang, and Fu-Zhen Xuan. Health Monitoring of RTV Silicone Rubber Coating on Insulators Based on Multimode Features of Active Infrared Thermography. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 4502609. (SCI, IF = 5.6)

[13]  Xianzhi Wang, Lishuai Liu*. Concentric diversity entropy: A high flexible feature extraction tool for identifying fault types with different structures. Mechanical Systems and Signal Processing, 2022, 171:108934. (SCI, IF = 8.4)

[14]  Yanxin Tu, Hongwei Mei, Lishuai Liu*, Zekai Shen, Chenjun Guo, and Liming Wang*Transient thermal pattern separation and detection of conductive defects in composite insulators using eddy current pulsed thermographyNDT & E International, 2022, 129(5): 102653. (SCI, IF = 4.2)

[15]  Yanxin Tu, Hongwei Mei, Lishuai Liu*, Rui Sun, Chenjun Guo, Zekai Shen, and Liming Wang. Distance Effect in Transient Thermography for Internal Defects Detection in CompositesIEEE Transactions on Instrumentation and Measurement, 2022, 71: 3525712. (SCI, IF = 5.6)

[16]  Chenjun GuoLishuai Liu*, Hongwei Mei, Yanxin Tu, and Liming Wang. Nondestructive Evaluation of Composite Bonding Structure used in Electrical Insulation Based on Active Infrared ThermographyPolymers, 2022, 14(16): 3373. (SCI, IF = 5.0)

[17]  Lishuai Liu, Hongwei Mei, Chenjun Guo, Yanxin Tu, and Liming Wang*. Pixel-level Classification of Pollution Severity on Insulators Using Photothermal Radiometry and Multi-class Semi-supervised Support Vector Machine. IEEE Transactions on Industrial Informatics, 2021, 17(1): 441-449. (SCI, IF = 12.3)

[18]  Lishuai Liu, Chenjun Guo, Yanxin Tu, Hongwei Mei, and Liming Wang*. Differential Evolution Fitting-Based Optical Step Phase Thermography for Micron Thickness Measurement of Atmospheric Corrosion Layer. IEEE Transactions on Industrial Informatics, 2020, 16(8): 5213-5222. (SCI, IF = 12.3)

[19]  Lishuai Liu, Hongwei Mei, Chenjun Guo, Yanxin Tu, Liming Wang*, and Jianben Liu. Remote Optical Thermography Detection Method and System for Silicone Polymer Insulating Materials Used in Power Industry. IEEE Transactions on Instrumentation and Measurement, 2020, 69(8): 5782-5790. (SCI, IF = 5.6)

[20]  Lishuai Liu, Liming Wang, Chenjun Guo, Hongwei Mei*, and Chenlong Zhao. Detecting Defects in Porcelain Post Insulator Coated with Room Temperature Vulcanized Silicone Rubber by Pulsed Thermography. IEEE Transactions on Instrumentation and Measurement, 2019, 68(1): 225-233. (SCI, IF = 5.6)

[21]  Lishuai Liu, Chenjun Guo, Liming Wang*, and Hongwei Mei. Nondestructive Visualization and Quantitative Characterization of Defects in Silicone Polymer Insulators with Laser Speckle Imaging. IEEE Sensors Journal, 2019, 19(15): 6508-6516. (SCI, IF = 4.3)



完整论文列表详见:https://www.researchgate.net/profile/Lishuai-Liu










网页发布时间: 2021-12-27