饶静，国家级青年人才，新加坡南洋理工大学博士，德国慕尼黑工业大学洪堡学者，原澳大利亚新南威尔士大学助理教授，主要研究兴趣包括智能传感器、工业检测与评估、结构健康监测等。 科研项目 国家自然科学基金委项目 澳大利亚新南威尔士大学项目 澳大利亚Research Infrastructure Scheme项目 德国洪堡基金会项目 欧盟“地平线2020”项目 新加坡国立研究基金会项目 新加坡能源市场管理局项目 学术兼职 2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics国际学术会议分会主席 2023 Technical Program Committee of IEEE International Ultrasonics Symposium Ultrasonic Imaging副主编

无损检测 结构健康监测 基于人工智能的缺陷检测 超声层析成像

Rao Jing, Yang Fangshu,et al. "Quantitative reconstruction of defects in multi-layered bonded composites using fully convolutional network-based ultrasonic inversion."Journal of Sound and Vibration542 (2023): 117418. Rao Jing, Sing Swee Leong, et al. "Detection and characterisation of defects in directed energy deposited multi-material components using full waveform inversion and reverse time migration."Virtual and Physical Prototyping17.4 (2022): 1047-1057. Rao Jing, Qiu Hangyu, et al. "Ultrasonic array imaging of highly attenuative materials with spatio-temporal singular value decomposition."Ultrasonics124 (2022): 106764. Rao Jing, Wang Jilai, et al. "Point cloud-based elastic reverse time migration for ultrasonic imaging of components with vertical surfaces."Mechanical Systems and Signal Processing163 (2022): 108144. Rao Jing, Dong Jie, et al. "Application of common-path speckle interferometer with unlimited minimal shearing amount to characterization of irregularly shaped notch."NDT & E International116 (2020): 102326.