Fucai Li | Structural Health Monitoring and Fault Diagnosis | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr. Fucai Li | Structural Health Monitoring and Fault Diagnosis | Best Researcher Award

Prof. Fucai Li is a distinguished academic at Shanghai Jiao Tong University ๐Ÿ‡จ๐Ÿ‡ณ, specializing in vibration and ultrasonic signal processing, structural health monitoring, and intelligent sensor systems ๐Ÿ”. With extensive global research experience across China ๐Ÿ‡จ๐Ÿ‡ณ, Japan ๐Ÿ‡ฏ๐Ÿ‡ต, and Australia ๐Ÿ‡ฆ๐Ÿ‡บ, he has significantly contributed to mechanical engineering through innovative diagnostics and smart material systems ๐Ÿ› ๏ธ. He has published over 150 peer-reviewed papers and led numerous national and industrial research projects ๐Ÿ“š๐Ÿ”ฌ. His work bridges academia and industry, with collaborations involving giants like Bao Steel and Shanghai Electric โš™๏ธ.

Profile

Education ๐ŸŽ“

Prof. Li earned his Ph.D. in Engineering from Xiโ€™an Jiaotong University in 2003 ๐ŸŽ“, where he also completed his Bachelor’s degree in Mechanical Engineering in 1998 ๐Ÿซ. His strong academic foundation from one of Chinaโ€™s premier technical universities laid the groundwork for a career focused on high-impact research ๐Ÿง . Throughout his education, he developed core expertise in mechanics, signal processing, and automation, setting the stage for innovations in sensor technologies and structural diagnostics ๐Ÿ“ก๐Ÿ”ง.

Experience ๐Ÿ‘จโ€๐Ÿซ

Prof. Li currently serves as Professor at Shanghai Jiao Tong University (2015โ€“present) ๐Ÿซ. He was an Associate Professor there from 2009โ€“2015 and held earlier roles including Assistant Professor (2003โ€“2005) ๐ŸŽ“. His international experience includes research fellowships in Japan (JSPS, University of Tokyo, 2007โ€“2009) ๐Ÿ‡ฏ๐Ÿ‡ต and Australia (University of Sydney, 2005โ€“2007) ๐Ÿ‡ฆ๐Ÿ‡บ. This global exposure enriched his expertise in structural innovation and smart systems ๐ŸŒ. Across academia, he has shaped future engineers and researchers with cutting-edge knowledge and practical application insights ๐Ÿ“˜๐Ÿ”.

Awards & Recognitions ๐Ÿ…

Prof. Li has secured over 30 research grants from top national bodies like NSFC, Ministry of Science and Technology, and major industries including Bao Steel and Shanghai Electric ๐Ÿ’ผ๐Ÿ’ก. He is widely recognized for his pioneering work in structural health monitoring and has published more than 150 influential journal papers ๐Ÿ“‘. His contributions to smart sensor networks and machine diagnostics have earned him national acclaim and trust from key industrial stakeholders ๐Ÿค. Through sustained innovation and impact, he has built a legacy of excellence in engineering research and collaboration ๐Ÿ….

Research Interests ๐Ÿ”ฌ

Prof. Liโ€™s research targets intelligent diagnostics and health monitoring of mechanical systems ๐Ÿค–. His focus areas include vibration and ultrasonic signal analysis, fiber optic and piezo-electric sensor networks, and AI-driven fault detection systems ๐Ÿ“Š๐Ÿ“ก. He develops smart sensing technologies for predictive maintenance and infrastructure resilience, with applications ranging from aerospace to heavy machinery ๐Ÿ—๏ธโœˆ๏ธ. His work integrates signal processing, materials science, and systems engineering to enable next-gen monitoring solutions. With over 150 publications and extensive funding, his research continues to push the frontier of smart mechanical engineering ๐Ÿš€.

Publicationsย 

Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

Published on by Cognitive Scientist Awards

Prof. Mingshuna Shun Jiang | Intelligent Sensors and Detection Technology | Best Researcher Award

Mingshun Jiang is a professor at the School of Control Science and Engineering, Shandong University ๐ŸŽ“. He is a doctoral supervisor and a young expert of Mount Taishan Scholars ๐ŸŒŸ. He serves as the director of the Shandong Engineering Research Center for Intelligent Sensor and Detection Technology ๐Ÿ”ฌ and deputy director of the Institute of Intelligent Perception ๐Ÿ›๏ธ. His research primarily focuses on intelligent sensors and detection technologies, with over 20 funded projects, including the National Natural Science Foundation and the National Key R&D Program ๐Ÿ†. He has authored 60+ high-level academic papers in renowned journals ๐Ÿ“‘. His innovative contributions aim at monitoring complex structural states in high-end equipment ๐Ÿš€. With extensive industry collaborations, his work has applications in aerospace, rail transit, and military technology ๐Ÿ›ฐ๏ธ๐Ÿš†.

Profile

Education ๐ŸŽ“

Mingshun Jiang earned his doctoral degree in Control Science and Engineering from Shandong University ๐ŸŽ“. His academic journey focused on developing intelligent sensor systems and detection methodologies ๐Ÿ“ก. His research expertise was cultivated through interdisciplinary learning, integrating control science, artificial intelligence, and structural health monitoring ๐Ÿค–. His doctoral research emphasized advanced ultrasonic-guided wave detection and probabilistic diagnostic imaging techniques ๐Ÿ—๏ธ. Jiangโ€™s educational background provided him with expertise in designing smart sensor networks, optimizing detection mechanisms, and enhancing structural health monitoring systems โš™๏ธ. With strong mathematical and engineering foundations, he developed novel algorithms for real-time damage localization and predictive maintenance ๐Ÿ“Š. His continuous learning and research efforts have been instrumental in bridging technological gaps in aerospace, rail transit, and high-end industrial applications ๐Ÿš†โœˆ๏ธ.

Experience ๐Ÿ‘จโ€๐Ÿซ

Mingshun Jiang has extensive research and academic experience, currently serving as a professor at Shandong University ๐Ÿ›๏ธ. He has led over 20 major research projects, including the National Natural Science Foundation and National Key R&D Program ๐ŸŒ. As the director of the Shandong Engineering Research Center, he focuses on intelligent sensor development and detection technologies ๐Ÿ”. His research has been successfully applied in aerospace, rail transit, and high-end industrial monitoring ๐Ÿš€๐Ÿš†. He has supervised numerous doctoral students and collaborated with various enterprises on engineering solutions ๐Ÿ—๏ธ. Jiang has also played a key role in technical verification and real-world applications of his research findings ๐Ÿ“ก. His leadership in academia and industry-driven research has established him as a leading expert in intelligent perception and structural health monitoring ๐Ÿ†.

Awards & Recognitions ๐Ÿ…

Mingshun Jiang has received multiple prestigious recognitions, including being a young expert of Mount Taishan Scholars in Shandong Province ๐ŸŒŸ. His work has been supported by national and provincial funding agencies, highlighting his contributions to intelligent sensor technology ๐Ÿ†. He has been awarded numerous grants under the National Natural Science Foundation and National Key R&D Program ๐ŸŽ–๏ธ. Jiangโ€™s research achievements have been recognized through invited talks at leading academic conferences and industry collaborations ๐Ÿค. He has served as an executive director of the China Inspection and Testing Society, further solidifying his reputation in the field ๐Ÿ”ฌ. His high-impact publications in top-tier journals have earned him accolades for innovation and research excellence ๐Ÿ“‘. Jiang continues to receive recognition for his contributions to the monitoring of complex structural states in high-end equipment ๐Ÿš€.

Research Interests ๐Ÿ”ฌ

Mingshun Jiangโ€™s research focuses on intelligent sensors, structural health monitoring, and detection technology ๐Ÿ“ก. His work integrates artificial intelligence, probabilistic diagnostic imaging, and ultrasonic-guided wave techniques for real-time damage localization and predictive maintenance ๐Ÿ—๏ธ. Jiang has developed innovative methodologies for monitoring key structural indicators such as boundary loads, damage detection, and component failures ๐Ÿš†. His research aims to bridge the gap between technological innovation and application in aerospace, rail transit, and industrial monitoring ๐Ÿ›ฐ๏ธ. His team has successfully engineered high-end monitoring systems that have undergone technical validation and real-world implementation ๐Ÿ”. Jiangโ€™s expertise extends to developing smart sensing layers for structural health monitoring, contributing to safer and more efficient industrial systems โš™๏ธ. Through his interdisciplinary research, he continues to advance intelligent perception systems for next-generation monitoring applications ๐Ÿš€.

Publicationsย 
  • Ruijie Song, Lingyu Sun, Yumeng Gao, Juntao Wei, Chang Peng, Longqing Fan andMingshun Jiang*. Unsupervised temperature-compensated damage localization method based on damage to baseline autoencoder and delay-based probabilistic imaging. Mechanical Systems and Signal Processing, 230: 112649, 2025.
  • Hong Zhang ,Feiyu Teng , Juntao Wei , Shanshan Lv , Lei Zhang , Faye Zhangย  and Mingshun Jiang*. Damage Location Method of Pipeline Structure by Ultrasonic Guided Wave Based on Probability Fusion.ย  IEEE Transactions on Instrumentation and Measurement, 73, 9504914, 2024.
  • . LingyuSun , Juntao Wei , Chang Peng , Wei Hao , Feiyu Teng , Longqing Fan , Lei Zhang , Qingmei Suiย  and Mingshun Jiang. Ultrasonic guided wave-based probabilistic diagnostic imaging method with Single-Path-Scattering sparse reconstruction for Multi-Damage detection in composite structures.ย  Mechanical Systems and Signal Processing, 223, 111858, 2024.
  • XiaoshuQin , Shanshan Lv , Changhang Xu , Jing Xie , Lei Jia , Qingmei Suiย  and Mingshun Jiang*. Implications of liquid impurities filled in breaking cracks on nonlinear acoustic modulation response: Mechanisms, phenomena and potential applications.ย  Mechanical Systems and Signal Processing, 200, 110550, 2023.
  • Shanshan Lv , Juntao Weiย  and Mingshun Jiang*. Damage localization method for plate-like composite structure based on valid path optimization and search point matching.ย  Mechanical Systems and Signal Processing, 182, 109562, 2023.