State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing | China
Author Profile
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🎓 Early Academic Pursuits
Dr. Xin Shao began his academic journey at the University of Science and Technology Beijing (USTB), where he earned a Bachelor's degree in Metallurgical Engineering (2013-2017). He continued his studies at USTB, pursuing a Doctorate in Metallurgical Engineering (2017-2024). His academic focus laid the groundwork for his later innovations in metallurgical processes and technologies.
💼 Professional Endeavors
Dr. Shao's career has centered on advancing metallurgical engineering, particularly in steelmaking plants. He has made significant strides in process optimization, collaborating on major projects that leverage simulation and intelligent systems to improve steelmaking efficiency. His work emphasizes the application of dynamic collaborative operation technologies in steelmaking.
📚 Contributions and Research Focus
Dr. Shao's research interests include metallurgical process engineering, simulation, and optimization. His contributions to this field are vast, including numerous publications and innovations, such as patented scheduling methods for steelmaking. His research integrates cutting-edge technology like deep neural networks and AI-based models, contributing to advancements in steel production efficiency.
🏆 Accolades and Recognition
Dr. Shao has received several prestigious awards, highlighting his impact in the field. Notably, he earned the Higher Education Science and Technology Progress Award (Second Class, Ministry of Education, China) in 2023 and the National Business Science and Technology Progress Award (First Class, China General Chamber of Commerce) in 2021. These awards recognize his innovative contributions to steelmaking processes.
🌍 Impact and Influence
Dr. Shao’s influence extends through his patents and software copyrights, demonstrating his role in the digital transformation of metallurgical engineering. His intellectual property, including analysis software for mass and heat balance and intelligent production scheduling systems, has brought transformative changes to the steelmaking industry.
✨ Legacy and Future Contributions
As Dr. Shao's research continues to evolve, his future contributions are poised to influence not only academic circles but also the broader industrial landscape. His innovative methods for optimizing steelmaking processes set the stage for future breakthroughs, ensuring his lasting legacy in metallurgical engineering.
Publications
📄Simulation Model of a Steelmaking–Continuous Casting Process Based on Dynamic-Operation Rules
Authors: Shao, X., Liu, Q., Chen, H., Gao, S., Li, S.
Journal: Materials
Year: 2024
📄Hybrid Model for BOF Oxygen Blowing Time Prediction Based on Oxygen Balance Mechanism and Deep Neural Network
Authors: Shao, X., Liu, Q., Xin, Z., Zhou, T., Li, S.
Journal: International Journal of Minerals, Metallurgy and Materials
Year: 2024
📄A Hybrid Model for Power-on Time Prediction in LF Based on Deep Neural Network and Metallurgical Mechanism
Authors: Shao, X., Liu, Q., Zhou, T., Li, S.
Journal: Proceedings - 2022 15th International Symposium on Computational Intelligence and Design (ISCID)
Year: 2022
📄Multiscale Modeling and Collaborative Manufacturing for Steelmaking Plants | 炼钢厂多尺度建模与协同制造
Authors: Liu, Q., Shao, X., Yang, J.-P., Zhang, J.-S.
Journal: Chinese Journal of Engineering
Year: 2021
📄Cooperative Control of Multi-process Operation in Steelmaking-Continuous Casting Section | 炼钢-连铸区段多工序运行协同控制
Authors: Shao, X., Yang, J.-P., Wang, B.-L., Gao, S., Liu, Q.
Journal: Iron and Steel
Year: 2021