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Prof. Dr. Qing Liu | Metallurgy | Best Researcher Award

Former Deputy Director at University of Science and Technology Beijing, China

Prof. Dr. Qing Liu is a renowned metallurgical engineer and professor at the University of Science and Technology Beijing (USTB), where he also serves as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. A leader in the field of steelmaking and metallurgical engineering, he has made significant contributions to process optimization, quality control, and intelligent manufacturing in steel production. Dr. Liu has earned multiple prestigious awards, including the National Business Science and Technology Progress Award and the World Scientist Grand Award. His extensive academic and research career, paired with numerous leadership roles, solidifies his status as an influential figure in the global metallurgy community. As a visiting professor and member of several international associations, his work bridges global collaborations with advanced metallurgical practices. 🌍🏅

professional profiles📖

Scopus Profile

Education 🎓

Prof. Dr. Qing Liu completed his Bachelor’s degree in Metallurgical Engineering at USTB in 1989. He continued his academic journey with a Master’s degree in Metallurgical Engineering from USTB (1995) and later earned a Ph.D. in Metallurgical Engineering from the same university in 2002. He expanded his global academic exposure as a visiting scholar at Latrobe University in Australia in 2005. His education laid the foundation for his successful career in metallurgical research and engineering. Liu’s expertise spans across steelmaking, continuous casting processes, and metallurgical process optimization, contributing significantly to the advancements in the industry. 📚

work Experience💼

Prof. Dr. Qing Liu has held several prestigious positions at USTB. Since 2007, he has been a professor, and from 2013 to 2019, he served as the Deputy Director of the State Key Laboratory of Advanced Metallurgy. His administrative experience includes roles such as Deputy Director of the Office of Scientific Research and Development at USTB and Vice Dean of the School of Metallurgical Engineering. Additionally, he has served as a lecturer and teaching assistant during the earlier years of his career. Liu’s leadership extends to numerous influential committees in metallurgical technology, such as the Continuous Casting Committee of the Chinese Society for Metals, highlighting his wide-reaching impact on the field. 👨‍🏫

Awards and Honors

Prof. Dr. Qing Liu has received numerous accolades for his groundbreaking work in the field of metallurgy. In 2024, he was awarded the National Business Science and Technology Progress Award (First Place) for the development and application of intelligent smelting technology. He also received the National Metallurgical Science and Technology Award (First Place, Second Class) for advancements in solidification cooling processes in continuous casting. Liu’s expertise has earned him the 60th Advanced Materials Congress Scientist Medal Award and the World Scientist Grand Award (Golden Scientist Grand Award), both of which recognize his contributions to the optimization of steelmaking technologies. These honors reflect his leadership and innovation in metallurgical research. 🏅

Research Focus

Prof. Dr. Qing Liu’s research interests primarily revolve around the optimization of metallurgical processes, focusing on steelmaking and continuous casting technologies. He is particularly passionate about enhancing quality control and efficiency in steel production through intelligent manufacturing systems. His work in multiscale modeling and simulation aims to improve the sustainability and high-efficiency utilization of metallic resources. Liu also explores collaborative manufacturing strategies that integrate advanced technologies for quality steel production, paving the way for smarter, more resource-efficient metallurgical processes. His research continues to shape the future of metallurgical engineering. 🔧

Skills

Prof. Dr. Qing Liu possesses a diverse skill set in metallurgy, process optimization, and industrial engineering. His expertise includes advanced simulation and modeling techniques, intelligent manufacturing systems, and the optimization of continuous casting processes. Additionally, he has extensive leadership and project management skills, honed through years of administrative roles and research direction. Liu is also proficient in fostering international collaborations and mentoring the next generation of metallurgists. His broad technical skills and academic leadership make him a prominent figure in the field of metallurgical engineering. 🛠️

Conclusion✅

Prof. Dr. Qing Liu is a highly accomplished researcher and a deserving candidate for the Best Researcher Award. His pioneering contributions to metallurgical engineering, particularly in steelmaking intelligence and process optimization, demonstrate an exceptional commitment to advancing science and technology. Recognized globally for his expertise and leadership, Prof. Liu’s work has a lasting impact on both academia and industry. Addressing the areas for improvement—such as enhancing public outreach and diversifying research applications—could further solidify his position as a leading figure in his field.

 

📚Publications to Noted

Large eddy simulation of novel EMBr effect on flow pattern in thin slab casting mold with multi-port SEN and ultra-high casting speed

Authors: Cui, H., Sun, J., Zhang, J., Wang, G., Liu, Q.

Citations: 0

Year: 2025

Journal: Journal of Manufacturing Processes

Study on Influencing Factors and Their Combined Effects on Multiphase Behavior in Tundish Pouring Zone

Authors: Qin, B., Zhang, J., Yang, C., Yang, S., Liu, Q.

Citations: 0

Year: 2025

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Prediction of Ladle Furnace Refining Endpoint Temperature Based on Particle Swarm Optimization Algorithm and Long Short-Term Memory Neural Network

Authors: Wang, H., Wang, M., Liu, Q., Yang, Z., Xing, L.

Citations: 0

Year: 2025

Journal: JOM

Explainable machine learning model for predicting molten steel temperature in the LF refining process

Authors: Xin, Z., Zhang, J., Peng, K., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: International Journal of Minerals, Metallurgy and Materials

Effect of Deoxidation Sequence on Inclusions in Oriented Silicon Steel

Authors: Liu, Q., Wang, M., Pang, W., Xing, L., Bao, Y.

Citations: 0

Year: 2024

Journal: JOM

Numerical Modeling and Plant Trial on the Optimization of SEN Designs in a Large Round Billet Mold

Authors: Qin, B., Zhang, J., Yang, S., Zuo, X., Liu, Q.

Citations: 0

Year: 2024

Journal: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

Predicting Endpoint Temperature of Molten Steel in VD Furnace Refining Process Using Metallurgical Mechanism and Bayesian Optimization XGBoost

Authors: Xu, J., Xin, Z., Lan, M., Zhang, B., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Steelmaking–Continuous Casting Scheduling Model Based on Grey Wolf Algorithm with “Furnace–Caster Matching” Mode

Authors: Chen, B., Shao, X., Zhang, J., Li, H., Liu, Q.

Citations: 0

Year: 2024

Journal: Gongcheng Kexue Yu Jishu/Advanced Engineering Sciences

Preparation and Properties of Thick Tungsten Coating Electrodeposited from Na2WO4-WO3-KCl-NaF Molten Salt System

Authors: Li, Y., Dong, X., Liu, Q., Gao, Z., Zhang, Y.

Citations: 0

Year: 2024

Journal: Coatings

Microstructure and high temperature tribological behavior of nickel-based superalloy with addition of revert

Authors: Zhang, K., Zhang, J., Zhao, P., Liu, Q., Yang, S.

Citations: 2

Year: 2024

Journal: Journal of Materials Research and Technology

 

 

Qing Liu | Metallurgy | Best Researcher Award

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