刘立帅
教授，博士生导师
E-mail：lishuai.liu@ecust.edu.cn
课题组每年招生计划：博士 4~5名，硕士 12~15名
招生专业：机械工程[080200]，动力工程及工程热物理[080700]，机械[085500]
欢迎加入 “智能声学感知与成像”课题组攻读学位！
个人简介
华东理工大学机械与动力工程学院教授、博士生导师，国家优秀青年科学基金获得者，入选中国科协青年人才托举工程、上海市晨光学者、上海市青年科技英才扬帆计划、华东理工大学青年英才A类。清华大学电气工程博士，加拿大多伦多大学先进扩散波与光声技术中心访问学者。主持国家自然科学基金3项、国家重点研发计划项目任务3项、上海市自然科学基金、上海市“科技创新行动计划”技术标准项目、上海市教委科委人才项目等多项国家/省部级科研项目10余项。面向航空航天、新能源装备、核电、增材制造等高端装备健康状态精准感知需求，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50余篇，参与制定国家标准4项。
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
研究兴趣
[1] 智能定量无损检测及寿命预测
[2] 柔性传感器件与阵列超声(导波)感测
[3] 数据与物理融合驱动的人工智能方法
[4] 复杂介质/生物组织智能反演成像
研究生招生
“智能声学感知与成像”课题组每年招收直博生/硕博连读/统招博士生4~6名，推免/考研硕士生12~15名。
课题组可为学生提供：
[1] 一流的研究平台与资源：课题组承担多项国家重大科技项目，科研经费充足，完善的软硬件资源（实验仪器与算力充足，缺啥就买^_^），丰富的学术会议交流锻炼机会，助研津贴与科研奖励丰厚，保障学生无后顾之忧地进行科研探索；
[2] 优秀的学术氛围：课题组导师拥有电气工程、机械工程、物理学、仪器仪表科学等多学科交叉背景，研究生课题面向科技前沿/国家重大需求/生命健康/工业界痛点问题等领域，促进思维碰撞和融合创新。科研是一件既有趣有充满挑战的事，导师与研究生“一对一”指导，做好科研路上的引路人和同行者；
[3] 个性化的培养模式：课题组根据学生兴趣和特长进行个性化培养：有意学术深造的同学鼓励研究前沿理论和方法，锻炼科学和创新思维，规划学术发展路线；计划工业界大展身手的同学锻炼软硬件工程开发能力，推荐与重点企业工程协作。
教学科研情况
承担科研项目：
[1] 国家自然科学基金优秀青年科学基金项目，主持
[2] 国家自然科学基金面上项目，主持
[3] 国家自然科学基金青年项目，主持
[4] 国家重点研发计划子课题，主持
[5] 中国科协青年人才托举工程项目，主持
[6] 上海市教委晨光计划项目，主持
[7] 上海市青年科技英才扬帆计划，主持
[8] 上海市“科技创新行动计划”技术标准项目，主持
[9] 上海市自然科学基金滚动项目，主持
[10] 上海市自然科学基金面上项目，主持
[11] 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）
学术兼职
中国声学学会声学传感与仪器分会副主任委员
中国仪器仪表学会声学仪器专委会委员
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
CSTM声学检测技术委员会委员兼秘书长
CSTM核电检测技术委员会委员
上海市声学学会理事
荣誉奖励
国家优秀青年科学基金
中国石化工业联合会科技进步奖一等奖
中国科协青年人才托举工程
IEEE TIM Outstanding Reviewer（2021、2022、2024）
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”
华东理工大学青年英才A类
清华大学优秀学位论文
学术成果
代表性论文：
[1] Jiachen Zhou, Lishuai Liu*, Haiming Xu, Yanxun Xiang*, and Fu-Zhen Xuan. An online data-driven method for predicting crack propagation and remaining fatigue life via combining linear and nonlinear ultrasonic. Ultrasonics, 2025, 155: 107707. (SCI, IF = 4.2)
[2] Haiming Xu, Lishuai Liu*, Jiachen Zhou, Siyuan Peng, Xuan Li, Zheng Hu, Yanxun Xiang*, and Fu-Zhen Xuan. Lamb Wave Visualization of Microcrack Growth Based on Acoustic Nonlinearity Aware-Dictionary and Gradient Projection Sparse Representation. IEEE Transactions on Industrial Informatics, 2025, 21(3): 2699-2708. (SCI, IF = 12.3)
[3] Xuan Li, Lishuai Liu*, Haiming Xu, Yanxun Xiang*, and Fu-Zhen Xuan. Nonlinear ultrasonic Lamb wave phased array imaging based on hybrid array and time-reversal of harmonic. Structural Health Monitoring, 2024. (SCI, IF = 6.6)
[4] Haiming Xu, Lishuai Liu*, Xuan Li, Siyuan Peng, Yanxun Xiang*, and Fu-Zhen Xuan. Nonlinear Lamb wave phased array for revealing micro-damage based on the second harmonic reconstruction. Mechanical Systems and Signal Processing, 2024, 220: 111692. (SCI, IF = 8.4)
[5] Wen Liu, Lishuai Liu*, Yanxun Xiang*, and Fu-Zhen Xuan. Hierarchical energy distribution-based Lamb wave tomography for damage localization in multilayer heterogeneous metallic bonded structures. IEEE Transactions on Instrumentation and Measurement, 2024. (SCI, IF = 5.6)
[6] Wen Liu, Lishuai Liu*, Qiang Wan, Yanxun Xiang*, and Fu-Zhen Xuan. Baseline-free damage localization in multilayer metallic spherical shell structures using guided wave tomography. NDT&E International, 2024, 147: 103213. (SCI, IF = 4.2)
[7] Peng Wu, Lishuai Liu*, Ailing Song, Yanxun Xiang*, and Fu-Zhen Xuan. A data augmentation approach for improving data-driven nonlinear ultrasonic characterization based on generative adversarial U-net. Applied Acoustics, 2024, 225: 110208. (SCI, IF = 3.4)
[8] Haiming Xu, Lishuai 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)
[9] 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)
[10] Yanxin Tu, Lishuai Liu*, Bin Cao*, Hongwei Mei, and Liming Wang. Infrared-Induced Laser Shearography: Enhanced Multimodal Features Recognition for Interfacial Defects in SIR/GFRP Composite Structures. IEEE Transactions on Instrumentation and Measurement, 2024, 73: 6005313. (SCI, IF = 5.6)
[11] 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)
[12] 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)
[13] Haiming Xu, Lishuai Liu*, Jichao Xu, Yanxun Xiang*, and Fu-Zhen Xuan. Deep learning enables nonlinear Lamb waves for precise location of fatigue crack. Structural Health Monitoring, 2024, 23(1): 77-93. (SCI, IF = 6.6)
[14] 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)
[15] 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)
[16] 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)
[17] 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)
[18] 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)
[19] 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. (SCI, IF = 14.7)
[20] 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)
[21] 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)
[22] 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 thermography. NDT & E International, 2022, 129(5): 102653. (SCI, IF = 4.2)
[23] 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 Composites. IEEE Transactions on Instrumentation and Measurement, 2022, 71: 3525712. (SCI, IF = 5.6)
[24] Chenjun Guo, Lishuai Liu*, Hongwei Mei, Yanxin Tu, and Liming Wang. Nondestructive Evaluation of Composite Bonding Structure used in Electrical Insulation Based on Active Infrared Thermography. Polymers, 2022, 14(16): 3373. (SCI, IF = 5.0)
[25] 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)
[26] 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)
[27] 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)
[28] 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)
[29] 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