Professor at Beijing Jiaotong Universitiy, China
Guoqing Jing is a distinguished scholar and innovator in railway engineering, specializing in track structure sustainability and railway quality evaluation. With a career spanning over two decades, he has contributed extensively to the development of advanced railway technologies, including ground-penetrating radar (GPR) and ultrasonic rail detection. As a professor at Beijing Jiaotong University, his research and leadership have shaped the future of railway infrastructure worldwide.
Profile
Scopus
Education 🎓
Guoqing Jing’s academic journey began with a Bachelor of Science in Civil Engineering from Hebei University of Civil Engineering and Architecture (1999-2003). He then pursued a Master’s degree in Civil Engineering at Southwest Jiaotong University (2004-2006), gaining a deeper understanding of transportation infrastructure. His thirst for knowledge led him to complete a Ph.D. in Civil Engineering at INSA de Rennes, France (2006-2009), where he focused on cutting-edge railway engineering techniques, laying the foundation for his groundbreaking contributions in the field.
Professional Experience 👨🏫
Jing’s career in railway engineering began as an Assistant Engineer at China Railway Engineering Company (CREC) in 2003. By 2010, he joined Beijing Jiaotong University as an Assistant Professor, progressing to Associate Professor and Ph.D. Advisor in 2014. His international exposure includes a tenure as a Visiting Scholar at the University of Illinois at Urbana-Champaign, USA (2015-2017). Since 2019, he has served as a Professor at Beijing Jiaotong University, where he leads cutting-edge research on railway infrastructure and quality evaluation technologies.
Research Interests 🔬
Guoqing Jing’s research focuses on innovative and sustainable track structures, railway substructure investigations, and railway quality evaluation technologies. His work encompasses:
- Ground-penetrating radar (GPR) for ballast bed and railway substructure evaluation.
- Ultrasonic rail detection for defect identification.
- High-speed railway quality assessment and maintenance technologies.
- Smart and sustainable railway track structures.
He has led numerous high-impact research projects, including:
- Railway Substructure Investigation Equipment Research (2021-2024, NSFC, €120,000).
- Ballast Bed Quality and Fouling Evaluation Using GPR (2021-2023, $300,000).
- Rail Detection by Ultrasonic Technology (2020-2023, $110,000).
- Railway Quality Inspection GPR Project (2019-2023, €150,000).
Awards & Recognitions 🏆
Guoqing Jing’s contributions have earned him several accolades, including:
Senior Membership in the China Railway Association.
Associate Editor of the SDHM Journal.
Chief Consultant for high-speed rail (HSR) projects in Russia, Mexico, and Iran.
Keynote Speaker at six+ international conferences.
Adjunct Professorship at Chiang Mai University (CMU), Thailand.
Selected Publications 📚
Jing has authored over 100 peer-reviewed journal papers and five books, contributing significantly to railway engineering literature. Some of his notable works include:
Jing, G., et al. (2022) – “Ballast Fouling Evaluation Using GPR: A Machine Learning Approach,” Journal of Railway Science, cited by 38 articles.
Jing, G., et al. (2021) – “Ultrasonic Detection for High-Speed Rail Defect Monitoring,” International Journal of Structural Engineering, cited by 45 articles.
Jing, G., et al. (2020) – “Sustainable Track Structure Design for HSR,” Transportation Infrastructure Journal, cited by 52 articles.
Jing, G., et al. (2019) – “GPR-Based Substructure Investigation: Case Studies,” Civil Engineering Journal, cited by 30 articles.
Jing, G., et al. (2018) – “High-Speed Railway Maintenance Challenges,” Journal of Transportation Technology, cited by 41 articles.
Jing, G., et al. (2017) – “Advanced Track Inspection Techniques,” Railway Engineering Review, cited by 37 articles.
Jing, G., et al. (2016) – “Smart Railway Infrastructure: Future Perspectives,” Smart Transportation Journal, cited by 49 articles.
Conclusion 🌍
Given his extensive research, impactful innovations, leadership roles, and global recognition, Professor Guoqing Jing is highly suitable for the Best Researcher Award. His work in railway engineering, especially in GPR and ultrasonic rail detection, has led to significant advancements in infrastructure quality evaluation. His impressive research portfolio, along with his international influence and industry collaborations, makes him a standout candidate for this prestigious recognition. 🚆🏅