Dr. Liu Ying | Engineering | Research Excellence Award

Dr. Liu Ying | Engineering | Research Excellence Award

East China Jiaotong University | China

Dr. Liu Ying is a dedicated researcher and lecturer in the field of mechanical and vehicle engineering, recognized for her growing scholarly contributions and interdisciplinary expertise that bridges intelligent control, computer vision, image detection, and reinforcement learning. With an academic foundation shaped through rigorous training in mechanical design, manufacturing, automation, and advanced mechanical engineering, she has developed a strong research trajectory supported by both theoretical depth and applied innovation. Her scholarly record reflects an emerging yet impactful academic presence, demonstrated through 6 published documents, 15 citations, and an h-index of 2, highlighting the relevance and early influence of her work within the scientific community. Dr. Liu’s research explores visual perception, target localization, and intelligent analysis, forming an integrated framework that advances algorithmic design and real-world technical applications. She has contributed to multiple scientific research projects, including national-level initiatives and collaborative programs with substantial funding volumes, underscoring her active role in large-scale, multidisciplinary research environments. Her output also includes seven journal publications indexed in major scholarly databases and more than twenty patents that showcase her drive for innovation and technological development. Beyond academic publishing, she has completed numerous consulting and industry-related projects, translating her research insights into practical solutions for engineering challenges. As a young academic, she has already taken lead roles in talent programs and continues to expand her impact by addressing key problems in vehicle engineering and intelligent systems. With a professional approach grounded in scientific rigor and a commitment to future-oriented advancements, Dr. Liu Ying exemplifies the qualities of an emerging research leader whose contributions continue to shape the evolving landscape of intelligent engineering and applied computational methodologies.

Citation Metrics (Scopus)

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Citations
15

Documents
6

h-index
2

Citations

Documents

h-index


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Featured Publication

Mr. Yunfei Xia | Engineering | Best Researcher Award

Mr. Yunfei Xia | Engineering| Best Researcher Award

Yunfei Xia is a postgraduate student at China People’s Police University, specializing in Safety Engineering. With a foundation in Fire Engineering, he has participated in two research projects and authored three academic papers, including one SCI journal article. His research focuses on fire risk assessment, particularly in battery pack production processes, where he developed a novel safety risk assessment model using the DEMATEL-ANP method. Yunfei’s work addresses critical gaps in fire safety, offering dynamic solutions for industrial risk management and safety optimization

 

Mr. Yunfei Xia | China People’s Police University | China

Profile

ORCID ID

🎓 Education

  • Mr. Yunfei Xia holds a strong academic foundation in fire and safety engineering. He completed his undergraduate studies in Fire Engineering and pursued postgraduate studies specializing in Safety Engineering at China People’s Police University. His academic journey reflects his commitment to advancing safety in critical engineering domains.

💼 Experience

  • Yunfei Xia has participated in two significant research projects, demonstrating his growing expertise in fire risk assessment. With a focus on applied research, he has authored three academic papers, including one SCI journal article and two conference papers. His work reflects a dedication to addressing real-world safety challenges, particularly in the context of fire and battery production processes.

🛠️ Skills and Certifications

  • Yunfei Xia is skilled in fire risk assessment and the application of advanced analytical methods such as the DEMATEL-ANP model. He excels at evaluating complex relationships among risk factors and developing dynamic, data-driven solutions for improving safety in engineering and industrial settings.

🔬 Research Focus

  • Mr. Xia’s research focuses on fire risk assessment, with a specific emphasis on the safety challenges associated with battery pack production processes. His innovative work addresses gaps in traditional risk assessment methodologies, offering dynamic evaluation techniques and insights for improving safety management in high-risk industries.

🔥 Contributions

  • Yunfei Xia has developed a novel safety risk assessment model for battery pack production using the DEMATEL-ANP method. This model analyzes the intricate relationships and impacts of risk factors, providing a more comprehensive and dynamic approach to safety management. His contributions offer valuable insights for mitigating fire risks and improving industrial safety standards.

Conclusion

  • Yunfei Xia is an outstanding candidate for the Research for Best Researcher Award. His innovative contributions to safety engineering, demonstrated academic achievements, and impactful research addressing global safety challenges make him a strong contender. Awarding Yunfei this recognition would celebrate his work and inspire further advancements in safety engineering and industrial risk management.

📄Publications

  • Research on Fuzzy Comprehensive Evaluation of Fire Safety Risk of Battery Pack Production Process Based on DEMATEL-ANP Method
    Authors: Yunfei Xia, Qingming Guo, Lei Lei, Jiong Wu, Xin Su, Jianxin Wu
    Journal: Fire