李苗硕，博士，现任山西大学自动化与软件学院讲师。2022年至2024年在浙江大学机械工程学院担任助理研究员，2017年至2022年在英国哈德斯菲尔德大学效率与性能中心攻读博士学位。研究方向包括机器视觉、振动分析、状态监测及故障诊断等。
近年来，主持国家自然科学青年基金项目1项，参与国家自然科学基金面上项目1项；在《Mechanical Systems and Signal Processing》等国际顶级期刊及重要国际会议上发表学术论文多篇；并承担多项横向课题。
[1] Li, Miaoshuo, et al. "Structural vibration mode identification from high-speed camera footages using an adaptive spatial filtering approach." Mechanical Systems and Signal Processing 166 (2022). (DOI: https://doi.org/10.1016/j.ymssp.2021.108422)
[2] Li, Miaoshuo, et al. "Full-field extraction of subtle displacement components via phase-projection wavelet denoising for vision-based vibration measurement." Mechanical Systems and Signal Processing 224 (2025): 112021. (DOI: https://doi.org/10.1016/j.ymssp.2024.112021)
[3] Miaoshuo Li, Guojin Feng, Fengshou Gu, and Andrew Ball. "Investigating into Minimum Detectable Displacement Signal in Image-Based Vibration Measurement." In International Conference on Maintenance Engineering, pp. 882-894. Springer, 2020.
[4] Miaoshuo Li, Robin Appadoo, Wei Hu, Fengshou Gu, and Andrew Ball. "Condition Monitoring of Reciprocating Compressor Based on Acoustic Imaging." In Advances in Asset Management and Condition Monitoring, pp. 977-983. Springer, Cham, 2020.
[5] Miaoshuo Li, Fengshou Gu, Andrew Ball, and Lin Song. "A homography transformation-based video stabilization method for structural health monitoring using an unmanned aerial vehicle." In Sixteenth International Conference on Condition Monitoring and Asset Management, p. 130. British Institute of NDT, 2019.
[1] “基于视觉全场振动测量的燃气轮机叶片时变模态参数辨识方法研究”. 国家自然科学基金青年项目,2024.01-2026.12,主持人
