Dr. Nianchun Deng | Intelligent bridge monitoring | Best Researcher Award

Dr. Nianchun Deng | Intelligent bridge monitoring | Best Researcher Award

Professor, Guangxi University, China 

Nianchun Deng is a renowned expert in bridge engineering and structural health monitoring. As the Director of the Bridge Engineering Institute at Guangxi University, China, he has made significant contributions to the field of prestressed engineering technology and intelligent bridge monitoring. With a strong academic background and extensive industry experience, Deng has developed innovative solutions for bridge cable force measurement and structural health monitoring. His work has been recognized globally, and he has published numerous papers in top-tier journals. Deng’s dedication to advancing the field of bridge engineering has earned him a reputation as a leading researcher and expert in his field. 🌉

Profile

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🎓 Education

Nianchun Deng holds a PhD in Solid Mechanics from Harbin Institute of Technology (2001-2004). He also completed postdoctoral research at Harbin Institute of Technology (2004-2006) and Tongji University (2007-2010). His academic background has provided a strong foundation for his research and industry work. Throughout his academic journey, Deng has demonstrated a commitment to excellence and innovation in the field of bridge engineering.

👨‍🔬 Experience

Nianchun Deng has extensive industry experience, having worked as the Deputy Director of the Technology Center and Director of the Equipment Institute at Liuzhou OVM Machinery Co., Ltd (2006-2015). Currently, he serves as a Doctoral Supervisor of Bridge and Tunnel Engineering at Guangxi University. Deng’s industry experience has enabled him to develop practical solutions for bridge engineering challenges. His leadership roles have demonstrated his ability to manage complex projects and teams. 🌟

Awards and Honors 🏆

Nianchun Deng has received recognition for his outstanding contributions to bridge engineering and structural health monitoring. Although specific awards are not listed, his research has been widely cited and published in top-tier journals. Deng’s work on smart steel strand cables and tubular spot-welded grating sensors has been innovative and influential in the field. His dedication to advancing bridge engineering has earned him a reputation as a leading expert. 🌟

Research Focus 🔍

Nianchun Deng’s research focuses on prestressed engineering technology and intelligent bridge monitoring. He has developed innovative solutions for bridge cable force measurement, including smart steel strand cables and tubular spot-welded grating sensors. Deng’s work aims to improve the safety and durability of bridges, and his research has been widely recognized and adopted in the industry. His current projects include the development of advanced sensors and monitoring systems for bridge health monitoring. 🌉

📚 Publications

1. Experimental Study of Smart Steel Cables with Tubular Spot-Welded Grating Sensors 🌟
2. Selection of Cable-stay System for Cable-stayed Bridge Based on Full Life Design Theory 📚
3. Once upon a time in Italy: The tale of the Morandi bridge 🌉
4. Development of FBG sensors for Structural Health Monitoring in civil infrastructures 📊
5. Fiber Bragg grating sensors for structural health monitoring of Tsing Ma bridge 🌆
6. Effects of bonding on the performance of optical fiber strain sensors 🔍
7. Damage Monitoring and Health Diagnosis for Arch Bridge Suspender 🚨
8. Recent Progress of Fiber-Optic Sensors for the Structural Health Monitoring of Civil Infrastructure 🌐
9. Development and sensing properties study of FRP-FBG smart stay cable for bridge health monitoring 📈
10. Research on Bridge Cable Force Measurement Technology Based on GFRP-OFBG Reinforcement 💡

Conclusion

Based on his achievements and contributions to intelligent bridge monitoring, Nianchun Deng appears to be a strong candidate for the Best Research Scholar Award. His innovative work and publication record demonstrate his potential to make a lasting impact in the field. With some further development and collaboration, his research could have even greater practical applications and benefits for society.

Zicheng Xin | intelligentialization | Best Researcher Award

Dr. Zicheng Xin | intelligentialization | Best Researcher Award

postdoctor, University of Science and Technology Beijing, China

Zicheng Xin is a renowned researcher and visiting professor at the Korea Invention Academy. He is affiliated with the University of Science and Technology Beijing (USTB) and has made significant contributions to the field of metallurgical engineering. His research focuses on metallurgical process engineering, intelligence, and simulation.

Profile

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Education 🎓

Ph.D. in Metallurgical Engineering, State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing (USTB) (2018-2022)

Experience 🧪

Visiting Professor, Korea Invention Academy (current)  Researcher, State Key Laboratory of Advanced Metallurgy, USTB (current)

Awards & Honors🏆

“Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award — Golden Scientist Grand Award (Second Place, International Federation of Inventors’ Associations, 2023) “Multiscale modeling and collaborative manufacturing for steelmaking plants”, the 10th World Scientist Grand Award— Science & Technology Grand

Research Focus 🔍

Metallurgical process engineering and intelligence  Simulation and optimization of metallurgical process

Publications📚

1. Analysis of multi-zone reaction mechanisms in BOF steelmaking and comprehensive simulation [J]. Materials, 2025, 18(5): 1038. – Zicheng Xin, Qing Liu, Jiangshan Zhang, et al.
2. Modeling of LF refining process: a review [J]. Journal of Iron and Steel Research International, 2024, 31(2): 289-317. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
3. Explainable machine learning model for predicting molten steel temperature in LF refining process [J]. International Journal of Minerals, Metallurgy and Materials, 2024, 31(12): 2657-2669. – Zicheng Xin, Jiangshan Zhang, Kaixiang Peng, et al.
4. Predicting temperature of molten steel in LF refining process using IF-ZCA-DNN model [J]. Metallurgical and Materials Transactions B, 2023, 54(3): 1181-1194. – Zicheng Xin, Jiangshan Zhang, Junguo Zhang, et al.
5. Predicting the alloying element yield in a ladle furnace using principal component analysis [J]. … – Zicheng Xin, Jiangshan Zhang, Yu Jin, et al.

Conclusion

Zicheng Xin’s academic excellence, research focus, and international recognition make him a strong candidate for the Best Researcher Award. While there are areas for improvement, his strengths and achievements demonstrate his potential to make significant contributions to the field of metallurgy.