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

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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

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 🚀.

Publications 

Yangyang Ju | Smart gas sensor | Young Scientist Award

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Ms. Yangyang Ju | Smart gas sensor | Young Scientist Award

Yangyang Ju is an Assistant Professor at the Advanced Research Institute of Multidisciplinary Science, Beijing Institute of Technology. She earned her Ph.D. in Physics and Mathematics from Tomsk Polytechnic University, Russia, in 2019, following her graduation from Jilin University in 2013. Her research focuses on nanomaterials, optoelectronic and gas-sensitive materials, smart gas sensors, and the stability of halide perovskite materials. She has led multiple research projects, including those funded by the National Natural Science Foundation of China and the Beijing Foreign High-level Young Talent Program. With 14 published articles in indexed journals and two patented oxygen sensors, her contributions to material science are significant. She collaborates with global research teams, including ITMO in Russia, and serves as a special issue editor for Materials. She is also a member of the Chinese Institute of Electronics.

Profile

Education 🎓

Yangyang Ju completed her undergraduate studies at Jilin University in 2013. She pursued her Ph.D. in Physics and Mathematics at Tomsk Polytechnic University, Russia, completing it in 2019. Her doctoral research focused on the development and stability of halide perovskite materials for optoelectronic applications. She later conducted postdoctoral research at the Beijing Institute of Technology, where she expanded her expertise in gas-sensitive nanomaterials and smart sensors. Through various academic and industrial collaborations, she has gained in-depth knowledge of material science, sensor technology, and advanced nanomaterials. Her education laid the foundation for her innovative work in trace gas sensors and perovskite-based devices. With a strong interdisciplinary background, she integrates physics, chemistry, and engineering principles to develop cutting-edge materials for environmental and industrial applications.

Experience 👨‍🏫

Yangyang Ju is currently an Assistant Professor at the Beijing Institute of Technology’s Advanced Research Institute of Multidisciplinary Science. She has led multiple national and international research projects, including grants from the National Natural Science Foundation of China and the Beijing Foreign High-level Young Talent Program. As a Principal Investigator, she has successfully managed projects focusing on perovskite materials and gas sensors. Previously, she collaborated with ITMO University in Russia, where she worked on phase purity control in quasi-2D PeLEDs, leading to multiple indexed publications. Additionally, she has held key roles in technology development projects with Zhijing Technology (Beijing) Co., Ltd. Her work has led to two patents on oxygen detection devices. She also serves as a special issue editor for Materials and is a professional member of the Chinese Institute of Electronics.

Research Interests 🔬

Yangyang Ju specializes in trace gas sensors, metal halide perovskites, gas-sensitive materials, and nanomaterials. Her research explores the stability of halide perovskites under different environmental conditions, focusing on their applications in optoelectronics and gas sensing. She has contributed significantly to understanding the impact of oxygen concentration on the fluorescence of 2D tin-based perovskites, leading to the development of fiber-optic trace oxygen sensors with high sensitivityhttps://cognitivescientist.org/?p=12953&preview=true. Her work has been published in Matter, Advanced Functional Materials, and Advanced Science. She has also collaborated with ITMO University in Russia to optimize phase purity control in quasi-2D PeLEDs. Her studies on perovskite-oxygen interactions have provided critical insights into material stability and sensor applications. Through national and international collaborations, she continues to advance research on smart gas sensors and high-performance nanomaterials for industrial and environmental monitoring.

Awards & Recognitions 🏅

Yangyang Ju has received several prestigious awards, including funding from the Beijing Foreign High-level Young Talent Program (2024) and the Young Faculty Startup Program of Beijing Institute of Technology. She was also awarded grants by the National Natural Science Foundation of China for her pioneering research in gas-sensitive materials and nanotechnology. Her work in material stability and sensor development has been recognized through national and international collaborations, including a cooperative exchange project with the Fundamental Research Foundation of Belarus. She has received recognition for her outstanding contributions to perovskite research and gas sensor development, leading to multiple high-impact journal publications. Her patents on oxygen detection devices further demonstrate her innovation in applied material sciences.

Publications 

  • Catalytic Sensor-Based Software-Algorithmic System for the Detection and Quantification of Combustible Gases in Complex Mixtures

    Sensors and Actuators A: Physical
    2025-03 | Journal article
    DOI: 10.1016/j.sna.2025.116458
    CONTRIBUTORS: Tatiana Osipova; Alexander Baranov; Haowen Zhang; Ivan Ivanov; Yangyang Ju

  • Response of Catalytic Hydrogen Sensors at Low and Negative Ambient Temperatures

    IEEE Sensors Letters
    2023-12 | Journal article
    DOI: 10.1109/LSENS.2023.3331376
    CONTRIBUTORS: Vladislav Talipov; Alexander Baranov; Ivan Ivanov; Yangyang Ju

  • Color‐Stable Two‐Dimensional Tin‐Based Perovskite Light‐Emitting Diodes: Passivation Effects of Diphenylphosphine Oxide Derivatives

    Advanced Functional Materials
    2023-07 | Journal article
    DOI: 10.1002/adfm.202301304
    CONTRIBUTORS: Chenhui Wang; Siqi Cui; Yangyang Ju; Yu Chen; Shuai Chang; Haizheng Zhong

  • Fast-Response Oxygen Optical Fiber Sensor based on PEA<sub>2</sub>SnI<sub>4</sub> Perovskite with Extremely Low Limit of Detection

    Advanced Science
    2022 | Journal article
    DOI: 10.1002/advs.202104708

 

Partha Sengupta | Structural Health Monitoring | Best Researcher Award

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Dr.Partha Sengupta | Structural Health Monitoring | Best Researcher Award

 

AECOM,India

Profile

Education

He holds a Ph.D. in Civil Engineering from the Indian Institute of Engineering Science and Technology (IIEST), Shibpur (2018–2023), with a perfect CGPA of 10/10. His doctoral research focused on “Finite Element Model Updating of Structures in Bayesian Framework and Enhanced Model Reduction Techniques.” Prior to this, he completed his M.Tech in Civil Engineering from IIEST, Shibpur (2014–2016), earning a CGPA of 9.03/10, with a thesis on the “Application of Ground Penetrating Radar in Concrete Evaluation, Pavement Profile, and Utility Detection.” He obtained his B.Tech in Civil Engineering from West Bengal University of Technology (2010–2014) with a CGPA of 9.02/10.

Professional Experience

Dr. Partha Sengupta conducts research in Structural Health Monitoring, focusing on model updating within a Bayesian framework using an enhanced model reduction technique with incomplete modal and time history response data. His work involves developing an iterative model reduction technique in the frequency domain by eliminating stiffness terms from the transformation equation, effectively mapping the full model and predicting its dynamic responses. The modified equation depends on measured modal responses and invariant mass matrices, eliminating the need for repeated evaluations of stiffness terms typically required in structural health monitoring (SHM) updating algorithms. Furthermore, this model reduction approach is integrated with a sub-structuring scheme, making it applicable to large finite element models. Additionally, Dr. Sengupta has developed an improved Bayesian model updating technique within the Transitional Markov Chain Monte Carlo (TMCMC) framework in the frequency domain, incorporating modifications to enhance the TMCMC algorithm.

AWARDS & ACHIEVEMENTS:

He received the Professor Amiya K. Basu Research Award in Structural Dynamics from the Department of Civil Engineering, IIEST Shibpur, and an additional monthly stipend of ₹10,000 from MHRD in 2022, along with his institute fellowship. He was also awarded the Best Paper Award in “Control and Health Monitoring” at the International Conference on Materials, Mechanics, and Structures (ICMMS 2020) in Kozhikode, India. As a reviewer, he has contributed to the G20 C20 International Conference on Interdisciplinary Approaches in Civil Engineering for Sustainable Development, published by Springer Nature, as well as Engineering Structures and Computer Methods in Applied Mechanics and Engineering, prestigious SCI journals published by Elsevier. Additionally, he received the Ministry of Human Resource and Development (MHRD) Institute Fellowship for pursuing his Ph.D. and M.Tech, having qualified GATE 2014 with a 99 percentile.

Publications