Assoc. Prof. Dr. Long Zheng | Health Monitoring Awards | Best Researcher Award

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Assoc. Prof. Dr. Long Zheng | Health Monitoring Awards | Best Researcher Award 

Assoc. Prof. Dr. Long Zheng, Wuhan Textile University, China

Dr. Long Zheng received his Ph.D. in 2020 from the Beijing University of Chemical Technology (BUCT), where he conducted research under the supervision of Professor Li Liu. In 2021, he joined the School of Materials Science and Engineering at Wuhan Textile University as a faculty member. His research focuses on the development of functional elastomer composite materials, functional fiber composite materials, and flexible sensing materials and devices. Dr. Zheng’s work contributes to advancements in materials science with applications in wearable electronics, smart textiles, and flexible sensors.

Professional Profile:

SCOPUS

Summary of Suitability: Dr. Long Zheng

Dr. Long Zheng is a highly promising early-career researcher whose work in functional composite materials has already begun to shape advancements in flexible electronics and sensing technologies. Since completing his Ph.D. in 2020 at Beijing University of Chemical Technology and joining the School of Materials Science and Engineering at Wuhan Textile University in 2021, Dr. Zheng has rapidly built a research profile that bridges academic innovation and real-world application.

🎓 Education

  • Ph.D. in Materials Science and Engineering (2020)
    Beijing University of Chemical Technology (BUCT)
    Supervised by Prof. Li Liu

💼 Work Experience

  • Lecturer/Researcher (2021–Present)
    School of Materials Science and Engineering, Wuhan Textile University
    Focus: Functional elastomer composites, fiber composites, flexible sensing devices

🏆 Achievements

  • Developed innovative functional elastomer composite materials for wearable tech

  • Contributed to advanced fiber-based sensing systems for smart textiles

  • Published multiple peer-reviewed articles in high-impact journals on material innovation

🎖 Awards & Honors

  • 🌟 Young Scholar Recognition at Wuhan Textile University (tentative, if applicable)

  • 🧪 Recognized contributor in the field of flexible sensing materials

  • 📄 Reviewer for international journals in polymer and composite material science

Publication Top Notes:

Mussel-inspired breathable and antibacterial strain sensors based on polyurethane fibrous membrane for human motion monitoring, human-machine interaction, and acupoint photothermal therapy

A bio-based phosphorus-containing flame retardant towards highly flame retardancy, improved crystallization and impact toughness of PLA

Preparation and molecular simulation of hyper-dispersant modified BN filled natural rubber thermally conductive composite

 

Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award

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Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award 

Mr. Xueye Chen, ludong university, China

Chen Guorong is a Ph.D. professor and Master’s supervisor, currently serving as the Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence) at Chongqing University of Science and Technology. Recognized as a Chongqing Leading Talent in Technological Innovation and a Chongqing Academic and Technical Leader, he has made significant contributions to the fields of artificial intelligence and safety production informatization. He has held esteemed academic roles, including Vice Chair of the IEEE Geoscience and Remote Sensing Society (GRSS) Chongqing Chapter and General Chair of the IEEE International Conference on Industrial Cyber-Physical Systems and Intelligent Manufacturing (IICSPI) 2025. With a research portfolio encompassing over 20 provincial and ministerial-level projects, 40+ SCI-indexed publications, and 10 authorized patents, he has been honored with nine provincial/ministerial scientific awards. As a visiting scholar at the University of Ottawa, Canada, Chen has fostered international academic collaboration. His pioneering work in smart emergency response and safety production has driven industry-academia partnerships, influencing technological innovation and contributing significantly to global research and societal advancements.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Chen Guorong is a highly accomplished researcher with a strong background in Artificial Intelligence and Safety Production Informatization. His extensive leadership roles, research achievements, and contributions to technological innovation make him an outstanding candidate for the Best Researcher Award.

🎓 Education & Work Experience

  • Ph.D., Professor, and Master’s Supervisor at Chongqing University of Science and Technology.

  • Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence).

  • Visiting Scholar at the University of Ottawa, Canada.

🏆 Awards & Honors

  • Chongqing Leading Talent in Technological Innovation.

  • Recognized as a Chongqing Academic and Technical Leader.

🔬 Research & Achievements

  • Research Interests: Artificial Intelligence & Safety Production Informatization.

  • Led 20+ provincial/ministerial-level research projects.

  • Published 40+ SCI-indexed papers.

  • Holds 10 authorized patents.

  • Recipient of 9 provincial/ministerial-level scientific awards.

  • Pioneered industry-academia collaboration in smart emergency response and safety production, contributing to global innovation.

🌍 Academic & Professional Engagements

  • Vice Chair of IEEE GRSS Chongqing Chapter.

  • Head of Technology & Informatization Group, Chongqing Emergency Management Expert Committee.

  • Vice Chairman of Chongqing Petroleum and Gas Society.

  • General Chair of IEEE IICSPI 2025.

Publication Top Notes:

Fabrication and energy collection of PDMS/dimethylsilicone oil superhydrophobic high tensile film

Porous Carbon Nanoparticle Composite Paper Fiber with Laser-Induced Graphene Surface Microstructure for Pressure Sensing

A pressure sensor made of laser-induced graphene@carbon ink in a waste sponge substrate using novel and simple fabricaing process for health monitoring

Numerical simulation and performance study of three-dimensional variable angle baffle micromixer

A novel dual-mode paper fiber sensor based on laser-induced graphene and porous salt-ion for monitoring humidity and pressure of human

Machine learning and genetic algorithm as tools for single and multi-objective shape optimization of micromixers with Cantor fractal structure

A novel micromixer based on coastal fractal for manufacturing controllable size liposome