Associate Professor at Huazhong Agricultural University, China
Shiwei Liu, an Associate Professor and Deputy Director at Huazhong Agricultural University, specializes in Nondestructive Testing (NDT) and advanced sensors. With a Ph.D. in Mechanical Engineering from HUST, he leads research projects funded by prestigious organizations like the National Natural Science Foundation of China. Liu’s expertise spans electromagnetic testing, structural health monitoring, and AI algorithms. He has authored over 40 publications in top scientific journals and holds multiple patents in China. Recognized with awards like the “Best Paper Award” at ICMSD2023, Liu is renowned for his contributions to the field of intelligent detection and digital equipment development.
Professional Profiles:
Scopus profile
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ResearchGate profile
Education and Professional Experience:
Huazhong Agricultural University, Associate Professor, Doctoral Supervisor (4/2022-Present) Huazhong University of Science and Technology (HUST), Postdoctor/Assistant Research Fellow (6/2019-3/2022) HUST, Ph.D. in Mechanical Engineering (9/2016-6/2019) HUST, M.E. in Measurement Technology and Instrumentation (9/2014-6/2016) Hubei University of Technology, B.E. in Mechanical Design Manufacturing and Automation (9/2010-6/2014)
Research Interests:
Electromagnetic nondestructive testing techniques and theory Structural health monitoring and signal processing High precision and advanced sensors Virtual instrument and application software development AI algorithms and pattern recognition
Projects:
National Natural Science Foundation of China (NNSFC), Natural Science Foundation of Hubei Province
Honors and Awards:
“Best Paper Award” at ICMSD2023 “Excellent Class Teacher” at Huazhong Agricultural University 2nd-class Science and Technology Progress Award in China Shipbuilding Industry Corporation (CSIC) National Scholarship for Doctoral Candidate, Ministry of Education of China
Research Focus:
Shiwei Liu’s research primarily focuses on nondestructive testing (NDT) methods, sensors, and signal processing techniques, particularly in the domain of wire rope inspection and defect detection. He has contributed significantly to advancing magnetic flux leakage (MFL) testing methodologies, including novel sensor designs and signal analysis approaches. Liu’s work encompasses areas such as electromagnetic NDT, structural health monitoring, and weak signal detection in steel wire ropes. His expertise lies in developing innovative techniques for identifying and evaluating defects in ferromagnetic materials, aiming to enhance the reliability and efficiency of NDT processes in various industrial applications.
Publications (TOP NOTES)
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