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

Prof. Fucai Li is a distinguished academic at Shanghai Jiao Tong University , specializing in vibration and ultrasonic signal processing, structural health monitoring, and intelligent sensor systems . With extensive global research experience across China , Japan , and Australia , he has significantly contributed to mechanical engineering through innovative diagnostics and smart material systems . He has published over 150 peer-reviewed papers and led numerous national and industrial research projects . His work bridges academia and industry, with collaborations involving giants like Bao Steel and Shanghai Electric .

Profile

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Education

Prof. Li earned his Ph.D. in Engineering from Xi’an Jiaotong University in 2003 , where he also completed his Bachelor’s degree in Mechanical Engineering in 1998 . His strong academic foundation from one of China’s premier technical universities laid the groundwork for a career focused on high-impact research . Throughout his education, he developed core expertise in mechanics, signal processing, and automation, setting the stage for innovations in sensor technologies and structural diagnostics .

Experience

Prof. Li currently serves as Professor at Shanghai Jiao Tong University (2015–present) . He was an Associate Professor there from 2009–2015 and held earlier roles including Assistant Professor (2003–2005) . His international experience includes research fellowships in Japan (JSPS, University of Tokyo, 2007–2009) and Australia (University of Sydney, 2005–2007) . This global exposure enriched his expertise in structural innovation and smart systems . Across academia, he has shaped future engineers and researchers with cutting-edge knowledge and practical application insights .

Awards & Recognitions

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 . He is widely recognized for his pioneering work in structural health monitoring and has published more than 150 influential journal papers . His contributions to smart sensor networks and machine diagnostics have earned him national acclaim and trust from key industrial stakeholders . Through sustained innovation and impact, he has built a legacy of excellence in engineering research and collaboration .

Research Interests

Prof. Li’s research targets intelligent diagnostics and health monitoring of mechanical systems . His focus areas include vibration and ultrasonic signal analysis, fiber optic and piezo-electric sensor networks, and AI-driven fault detection systems . He develops smart sensing technologies for predictive maintenance and infrastructure resilience, with applications ranging from aerospace to heavy machinery . 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 .