Dr. Caizhi Li | Industrial | Industry Innovator Award

Doctorate at Air Force Engineering University, China

👨‍🎓 Profiles

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📝 Summary

Dr. Caizhi Li is a dedicated researcher in aeronautical and astronautical sciences, specializing in aerospace composites, wave-absorbing materials, and artificial intelligence applications. With a strong foundation in electrical engineering, aeronautical engineering, and cutting-edge non-destructive testing methods, Dr. Li has contributed significantly to advanced damage detection and intelligent recognition technologies.

🎓 Education

  • PhD in Aeronautical and Astronautical Sciences and Technology
    Air Force Engineering University (2022.03–Present)
  • Master’s in Aeronautical Engineering
    Air Force Engineering University (2019.09–2022.01)
  • Bachelor’s in Electrical Engineering and Automation
    Air Force Engineering University (2015.09–2019.06)

💼 Professional Experience

    • Foundation of National Major Science and Technology Projects of China (No. 2019-Ⅵ-0015-0130)
    • National Science and Technology Major Project (J2019-III-0009-0053)

🔬 Research Interests

  • Aerospace Composites & Wave-Absorbing Materials
    • Damage mechanisms and detection.
  • Non-Destructive Testing (NDT)
    • Certified in Ultrasonic NDT (Level 2), Infrared NDT, and Weak Magnetic NDT.
  • Artificial Intelligence
    • Applications in object detection, image segmentation, and signal recognition.

 

Publications

TranSR-NeRF: Super-resolution neural radiance field for reconstruction and rendering of weak and repetitive texture of aviation damaged functional surface

  • Authors: HU, Q., XU, H., WEI, X., HAN, X., LI, C.
  • Journal: Chinese Journal of Aeronautics
  • Year: 2024

Aeroengine Blades Damage Detection and Measurement Based on Multimodality Fusion Learning

  • Authors: Wu, X., Wei, X., Xu, H., He, W., Zhou, L.
  • Journal: IEEE Transactions on Instrumentation and Measurement
  • Year: 2024

PointCNT: A One-Stage Point Cloud Registration Approach Based on Complex Network Theory

  • Authors: Wu, X., Wei, X., Xu, H., Yin, Y., He, W.
  • Journal: Remote Sensing
  • Year: 2023

Study on intelligent and visualization method of ultrasonic testing of composite materials based on deep learning

  • Authors: Hu, Q., Wei, X., Guo, H., He, W., Pei, B.
  • Journal: Applied Acoustics
  • Year: 2023

Study on the impact erosion wear resistance and damage evolution of TiN films under different impact cycles

  • Authors: Wang, S., He, W., Zhang, H., Li, C., Zhang, Y.
  • Journal: Thin Solid Films
  • Year: 2023
Dr. Caizhi Li | Industrial | Industry Innovator Award

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