Dr. Caizhi Li | Industrial | Industry Innovator Award

Dr. Caizhi Li | Industrial | Industry Innovator Award

Doctorate at Air Force Engineering University, China

👨‍🎓 Profiles

Scopus

Orcid

📝 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

Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

Assoc Prof Dr. Shiwei Liu | Industrial | Best Researcher Award

Shiwei Liu at Huazhong Agricultural University, China

Profiles

Scopus

Orcid

Education

  • Ph.D. in Mechanical Engineering – Huazhong University of Science and Technology (HUST), 2019
  • M.E. in Measurement Technology and Instrumentation – HUST, 2016
  • B.E. in Mechanical Design Manufacturing and Automation – Hubei University of Technology, 2014

💼 Professional Experience

Assoc Prof Dr. Shiwei Liu has extensive professional experience in the field of engineering and research. He has been an Associate Professor and Doctoral Supervisor at Huazhong Agricultural University since April 2022, leading the Intelligent Nondestructive Testing and Digital Equipment Group. Prior to this role, he served as a Postdoctoral Research Fellow at Huazhong University of Science and Technology from June 2019 to March 2022, focusing on advanced nondestructive testing methodologies. Liu earned his Ph.D. in Mechanical Engineering from HUST in 2019, along with a Master’s degree in Measurement Technology and Instrumentation. His academic foundation includes a Bachelor’s degree in Mechanical Design Manufacturing and Automation from Hubei University of Technology. Throughout his career, he has made significant contributions to research, teaching, and the development of innovative technologies.

🔬 Research Interests

  • Nondestructive testing (NDT) techniques
  • Structural health monitoring
  • Advanced sensor development
  • AI algorithms and pattern recognition

🏆 Honors & Awards

  • Best Researcher Award, International Research Awards on High Energy Physics and Computational Science, 2024
  • Best Paper Award, ICMSD 2023
  • National Scholarship for Doctoral Candidates, Ministry of Education of China, 2018

 

Publications

Wavelet structuring element-based morphological filtering method in wire rope inspection signal denoising

  • Authors: Liu, S., Shan, L., Liu, Y., Sun, Y., He, L.
  • Journal: Structural Health Monitoring
  • Year: 2024

Magnetic focusing sensor and its characterizations of defect non-destructive testing for ferromagnetic steel plate

  • Authors: Liu, S., Hua, X., Liu, Y., Lin, W., Wang, Q.
  • Journal: NDT and E International
  • Year: 2024

Nondestructive testing of runny salted egg yolk based on improved ConvNeXt-T

  • Authors: Chen, H., Chang, Y., Chen, Y., Liu, S., Wang, Q.
  • Journal: Journal of Food Science
  • Year: 2024

Brownian motion based multi-objective particle swarm optimization methodology and application in binary classification

  • Authors: Liu, S., Liu, Y., Wang, Q., Sun, Y., He, L.
  • Journal: Applied Soft Computing
  • Year: 2024

Hybrid Conditional Kernel SVM for Wire Rope Defect Recognition

  • Authors: Liu, S., Liu, Y., Shan, L., Sun, Y., He, L.
  • Journal: IEEE Transactions on Industrial Informatics
  • Year: 2024