Mrs. Shuwen Chen | Wearable Sensors | Best Researcher Award

Mrs. Shuwen Chen | Wearable Sensors | Best Researcher Award 

Mrs. Shuwen Chen, Huazhong University of Science and Technology, China

Shuwen Chen is an Associate Professor at the Institute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology (HUST). He previously served as a Research Fellow at the iHealthtech Center and the Biomedical Engineering Department at the National University of Singapore. He holds a Ph.D. in Optical Engineering from HUST, an M.S. in Physical Chemistry from the Chinese Academy of Sciences (CAS), and a B.S. in Chemistry from Henan Normal University. His research focuses on bio-interfaced flexible sensors, including wearable and implantable electronics for health monitoring and medical diagnostics. He has extensive experience developing novel functional materials and bio-interfaced systems, such as pressure and strain sensors, wound electronics, glucose monitoring, and ECG sensors. Dr. Chen has published 24 research articles in leading journals, accumulating over 1,900 citations, with 13 first-author papers, including an ESI Highly Cited Paper. He has received several prestigious awards, including the “Special Program for Overseas Postdoctoral Talents,” “Hubei Province Hundred Talents Program,” and the “Xiaomi Young Scholar” recognition at HUST. Additionally, he co-leads research projects on wearable microneedle patches for minimally invasive wireless glucose monitoring and other cutting-edge biomedical technologies

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Summary of Suitability for Best Researcher Award – Dr. Shuwen Chen

Dr. Shuwen Chen is an exceptional candidate for the Best Researcher Award due to his groundbreaking contributions to bio-interfaced flexible sensors, wearable electronics, and biomedical engineering. His interdisciplinary expertise spans optical engineering, chemistry, and materials science, positioning him as a leading researcher in next-generation flexible and implantable medical devices.

📚 Education & Degrees

  • 🎓 Ph.D. in Optical Engineering – Huazhong University of Science and Technology (HUST) (2019)

  • 🧪 M.S. in Physical Chemistry – Chinese Academy of Sciences (CAS) (2016)

  • 🔬 B.S. in Chemistry – Henan Normal University (2011)

💼 Work Experience

  • 👨‍🏫 Associate Professor – Institute of Medical Equipment Science and Engineering, HUST (02/2024 – Present)

  • 🏥 Research Fellow – iHealthTech Center & Biomedical Engineering Department, National University of Singapore (09/2020 – 02/2023)

🏆 Achievements & Research Contributions

  • 📄 24+ research articles published in top journals like Nat. Rev. Bioeng., Adv. Mater., Nano Energy, J. Mater. Chem. A, etc., with 1,900+ citations

  • ✍️ 13 first-author papers, including one ESI Highly Cited Paper

  • 🎖️ Recipient of prestigious awards:

    • 🏅 Special Program for Overseas Postdoctoral Talents

    • 🏅 Hubei Province Hundred Talents Program

    • 🏅 Xiaomi Young Scholar at HUST

  • 🔬 Co-leader of major research projects, including:

    • 📡 Wearable Microneedle Patch for Minimally Invasive Wireless Continuous Glucose Monitoring

Publication Top Notes:

CITED:324
CITED:248
CITED:245
CITED:157
CITED:151
CITED:147

Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu | Sensor Integration Awards | Best Researcher Award

Mr. Chunhui Xu, Shenyang Institute of Automation, Chinese Academy of Sciences, China

Xu Chunhui is a distinguished male researcher and Master Supervisor at the Shenyang Institute of Automation, part of the Chinese Academy of Sciences. He holds a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University. Xu has extensive experience in autonomous underwater vehicles (AUVs), specializing in areas such as software architecture, path planning, navigation control, and fault diagnosis. His professional journey includes roles as an Assistant Researcher and Research Intern at the Shenyang Institute, where he has made significant contributions to the field, earning several awards including the Special Prize for the Science and Technology Promotion Award of the Chinese Academy of Sciences. Xu has a robust patent portfolio with numerous inventions related to underwater robotics, including collision avoidance technologies and navigation methods. His research continues to advance the capabilities of AUVs, with a focus on applications in deep-sea exploration and resource management.

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Xu Chunhui for the Best Researcher Award

Xu Chunhui is a distinguished male Master Supervisor at the Shenyang Institute of Automation, Chinese Academy of Sciences. His expertise lies in autonomous underwater vehicle (AUV) technologies, particularly in software architecture, path planning, navigation control, and fault diagnosis. His extensive educational background includes a Master of Engineering and a Bachelor of Engineering from Harbin Engineering University.

Education 🎓

  • Master of Engineering
    Harbin Engineering University
    September 2005 – March 2008
  • Bachelor of Engineering
    Harbin Engineering University
    September 2001 – August 2005

Work Experience 💼

  • Associate Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2016 – Present
  • Assistant Researcher
    Shenyang Institute of Automation, Chinese Academy of Sciences
    October 2010 – March 2016
  • Research Intern
    Shenyang Institute of Automation, Chinese Academy of Sciences
    April 2008 – September 2010

Achievements 🏆

  • Science and Technology Promotion Award of the Chinese Academy of Sciences
    Special Prize, 2021
  • 3D Real-time Collision Avoidance Technology of Autonomous Underwater Robot
    Second Prize, Provincial Level, 2019
  • Research and Application of Key Technologies for Autonomous Exploration System of Deep-sea Resources
    First Prize, Ministry Level, 2018

Publication Top Notes:

Applications of Autonomous Underwater Vehicle in Submarine Hydrothermal Fields: A Review

Guided Trajectory Filtering for Challenging Long-Range AUV Navigation

A fault diagnosis method with multi-source data fusion based on hierarchical attention for AUV

Ocean Temperature Prediction Based on Stereo Spatial and Temporal 4-D Convolution Model

Accurate two-step filtering for AUV navigation in large deep-sea environment

A fault diagnosis method based on attention mechanism with application in Qianlong-2 autonomous underwater vehicle