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

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 🎓. He is a doctoral supervisor and a young expert of Mount Taishan Scholars 🌟. He serves as the director of the Shandong Engineering Research Center for Intelligent Sensor and Detection Technology 🔬 and deputy director of the Institute of Intelligent Perception 🏛️. 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 🏆. He has authored 60+ high-level academic papers in renowned journals 📑. His innovative contributions aim at monitoring complex structural states in high-end equipment 🚀. With extensive industry collaborations, his work has applications in aerospace, rail transit, and military technology 🛰️🚆.

Profile

Education 🎓

Mingshun Jiang earned his doctoral degree in Control Science and Engineering from Shandong University 🎓. His academic journey focused on developing intelligent sensor systems and detection methodologies 📡. His research expertise was cultivated through interdisciplinary learning, integrating control science, artificial intelligence, and structural health monitoring 🤖. His doctoral research emphasized advanced ultrasonic-guided wave detection and probabilistic diagnostic imaging techniques 🏗️. Jiang’s educational background provided him with expertise in designing smart sensor networks, optimizing detection mechanisms, and enhancing structural health monitoring systems ⚙️. With strong mathematical and engineering foundations, he developed novel algorithms for real-time damage localization and predictive maintenance 📊. His continuous learning and research efforts have been instrumental in bridging technological gaps in aerospace, rail transit, and high-end industrial applications 🚆✈️.

Experience 👨‍🏫

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

Awards & Recognitions 🏅

Mingshun Jiang has received multiple prestigious recognitions, including being a young expert of Mount Taishan Scholars in Shandong Province 🌟. His work has been supported by national and provincial funding agencies, highlighting his contributions to intelligent sensor technology 🏆. He has been awarded numerous grants under the National Natural Science Foundation and National Key R&D Program 🎖️. Jiang’s research achievements have been recognized through invited talks at leading academic conferences and industry collaborations 🤝. He has served as an executive director of the China Inspection and Testing Society, further solidifying his reputation in the field 🔬. His high-impact publications in top-tier journals have earned him accolades for innovation and research excellence 📑. Jiang continues to receive recognition for his contributions to the monitoring of complex structural states in high-end equipment 🚀.

Research Interests 🔬

Mingshun Jiang’s research focuses on intelligent sensors, structural health monitoring, and detection technology 📡. His work integrates artificial intelligence, probabilistic diagnostic imaging, and ultrasonic-guided wave techniques for real-time damage localization and predictive maintenance 🏗️. Jiang has developed innovative methodologies for monitoring key structural indicators such as boundary loads, damage detection, and component failures 🚆. His research aims to bridge the gap between technological innovation and application in aerospace, rail transit, and industrial monitoring 🛰️. His team has successfully engineered high-end monitoring systems that have undergone technical validation and real-world implementation 🔍. Jiang’s expertise extends to developing smart sensing layers for structural health monitoring, contributing to safer and more efficient industrial systems ⚙️. Through his interdisciplinary research, he continues to advance intelligent perception systems for next-generation monitoring applications 🚀.

Publications 
  • 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 Zhang  and Mingshun Jiang*. Damage Location Method of Pipeline Structure by Ultrasonic Guided Wave Based on Probability Fusion.  IEEE Transactions on Instrumentation and Measurement, 73, 9504914, 2024.
  • . LingyuSun , Juntao Wei , Chang Peng , Wei Hao , Feiyu Teng , Longqing Fan , Lei Zhang , Qingmei Sui  and Mingshun Jiang. Ultrasonic guided wave-based probabilistic diagnostic imaging method with Single-Path-Scattering sparse reconstruction for Multi-Damage detection in composite structures.  Mechanical Systems and Signal Processing, 223, 111858, 2024.
  • XiaoshuQin , Shanshan Lv , Changhang Xu , Jing Xie , Lei Jia , Qingmei Sui  and Mingshun Jiang*. Implications of liquid impurities filled in breaking cracks on nonlinear acoustic modulation response: Mechanisms, phenomena and potential applications.  Mechanical Systems and Signal Processing, 200, 110550, 2023.
  • Shanshan Lv , Juntao Wei  and Mingshun Jiang*. Damage localization method for plate-like composite structure based on valid path optimization and search point matching.  Mechanical Systems and Signal Processing, 182, 109562, 2023.

Yangyang Ju | Smart gas sensor | Young Scientist Award

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
    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
    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
    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