Lecturer at School of Metallurgical Engineering, Anhui University of Technology, China.
Dr. Liangjun Chen is a distinguished researcher and lecturer at the School of Metallurgical Engineering, Anhui University of Technology. With a Ph.D. from the University of Science and Technology Beijing and the University of Toronto, he has dedicated his career to advancing intelligent metallurgical processes. His expertise spans AI-driven process optimization, solid waste utilization, and industrial automation. Over the years, Dr. Chen has made significant contributions to modern metallurgical engineering, publishing more than 23 SCI-indexed papers and securing prestigious research funding, including the National Natural Science Foundation (Youth Program). His research focuses on intelligent process control in steel manufacturing, aiming to enhance efficiency and sustainability. In recognition of his groundbreaking work, he has received multiple accolades, including a Bronze Award in the Anhui Postdoctoral Innovation and Entrepreneurship Competition. Additionally, he holds 12 patents, five of which have been authorized. His collaborations with leading industry players, such as Baosteel and Jiangsu Yonggang, reinforce his role as a pioneer in modern metallurgical engineering, bridging academic research with practical industrial applications.
Professional Profile
Sci Profile
ORCID
Education 🎓
Dr. Liangjun Chen pursued his Ph.D. at the University of Science and Technology Beijing in collaboration with the University of Toronto. His academic journey was marked by intensive research in metallurgical engineering, focusing on optimizing sintering processes, intelligent process control, and sustainable metallurgical practices. Throughout his doctoral studies, he worked on AI-driven industrial process innovations that have since become integral to steel manufacturing. His studies provided him with a strong foundation in metallurgy, computational modeling, and automation, equipping him with the knowledge necessary to solve critical challenges in industrial metallurgy. His interdisciplinary approach allowed him to combine theoretical knowledge with practical applications, making his research highly relevant to both academia and industry. His dedication to metallurgical research has led to significant advancements in process efficiency and waste reduction, reinforcing his reputation as a forward-thinking scientist in the field.
Work Experience 💼
Dr. Chen has accumulated extensive experience in metallurgical engineering through both academic and industry-focused research. Currently, he serves as a lecturer at Anhui University of Technology, where he teaches metallurgical engineering while actively engaging in research projects. Prior to his current role, he completed a postdoctoral fellowship at the same institution, where he played a key role in multiple industry-sponsored research initiatives. His work has led to groundbreaking advancements in sintering efficiency, AI-driven industrial automation, and the comprehensive utilization of metallurgical solid waste. Additionally, Dr. Chen has collaborated with leading steel manufacturers, including Baosteel and Shandong Nuode Energy, applying his research findings to real-world industrial settings. Beyond academia, he has contributed to industrial consulting, providing expertise in optimizing steel manufacturing processes, improving fuel consumption efficiency, and reducing emissions. His work continues to have a profound impact on the field, bridging theoretical research with practical applications in metallurgy.
Research Interests 🔬
Dr. Chen’s research primarily focuses on intelligent and informatized metallurgical processes, leveraging artificial intelligence to optimize steel manufacturing and industrial automation. His work is centered on developing AI-driven process control systems to improve sintering efficiency, reduce energy consumption, and enhance the comprehensive utilization of metallurgical solid waste. By integrating advanced modeling techniques, his research contributes to smart manufacturing, predictive analytics, and real-time process monitoring. His studies in sustainable metallurgy aim to reduce industrial emissions and enhance waste recycling in steel production. A key aspect of his research is the development of intelligent sintering leak detection and steel slag recycling technologies, which significantly improve environmental sustainability and cost-effectiveness in metallurgical processes. His work not only advances theoretical knowledge but also has direct industrial applications, bridging the gap between scientific research and real-world metallurgical innovations.
Awards & Achievements 🏆
Dr. Chen’s innovative contributions to metallurgical engineering have earned him several prestigious awards and honors. He won the Bronze Award in the Anhui Postdoctoral Innovation and Entrepreneurship Competition, highlighting his ability to translate academic research into industrial innovations. His research excellence has been further recognized through a National Natural Science Foundation (Youth Program) Grant, which supports his cutting-edge investigations into intelligent process control and metallurgical waste management. He also received the Silver Prize at the Metallurgical Innovation Forum for his advancements in AI-driven sintering process optimization. As a researcher, Dr. Chen has successfully led eight industry-sponsored projects, securing funding and industry partnerships that have enhanced metallurgical manufacturing efficiency. Additionally, he has been awarded 12 patents, five of which have been officially authorized, further demonstrating his commitment to innovation. His expertise is widely recognized, and he serves as a Youth Editorial Board Member of Sintering and Pelletizing, as well as a reviewer for Ironmaking & Steelmaking and Steel Research International.
Conclusion
Dr. Liangjun Chen is a strong candidate for the Best Researcher Award due to his outstanding contributions to metallurgical engineering, extensive industry collaborations, and innovative research in AI-driven process optimization. While he has already demonstrated excellence in research, further efforts in increasing citations, professional memberships, and international outreach could further strengthen his candidacy. His contributions significantly impact both academia and industry, making him well-suited for this prestigious recognition.
Top Noted Publications 📚
“Research progress on prediction of FeO content in sinter based on intelligent algorithm”
Authors: Xin-Yu Zhang, Da-Lin Xiong, Meng Xie, Liang-Jun Chen, Hong-Ming Long, Alexander McLean
Year: 2025
“Development and application of an intelligent thermal state monitoring system for sintering machine tails based on CNN–LSTM hybrid neural networks”
Authors: Da-Lin Xiong, Xin-Yu Zhang, Zheng-Wei Yu, Xue-Feng Zhang, Hong-Ming Long, Liang-Jun Chen
Year: 2024
“A Predictive Model for Sintering Ignition Temperature Based on a CNN-LSTM Neural Network with an Attention Mechanism”
Authors: Da-Lin Xiong, Hou-Yin Ning, Meng Xie, Liang-Jun Chen, Zheng-Wei Yu, Hong-Ming Long
Year: 2024
“Dephosphorization of Hot Metal Containing High Phosphorus Using F-free CaO–SiO₂–Al₂O₃–Fe₂O₃ Slag”
Authors: Haimeng Xue, Jie Li, Yunjin Xia, Yong Wan, Liangjun Chen, Changji Lv
Year: 2021
“Mechanism of Phosphorus Enrichment in Dephosphorization Slag Produced Using the Technology of Integrating Dephosphorization and Decarburization”
Authors: Haimeng Xue, Jie Li, Yunjin Xia, Yong Wan, Liangjun Chen, Changji Lv
Year: 2021
“A New Method for Plasticization of Inclusions in Saw-Wire Steel by NaF Addition”
Authors: Liangjun Chen, Yong Wan, Jie Li, Weiqing Chen, Yindong Yang, Alexander McLean
Year: 2020
“Effect of Final Electromagnetic Stirring Parameters on Central Cross-Sectional Carbon Concentration Distribution of High-Carbon Square Billet”
Authors: Yong Wan, Menghua Li, Liangjun Chen, Jie Li, Hongbo Pan, Wei Zhong
Year: 2019
“Refractory/steel/inclusion interactions in Al-deoxidised valve spring steel treated with Na₂CO₃”
Authors: Liangjun Chen, Weiqing Chen, Wei Yan, Yindong Yang, Alexander McLean
Year: 2019
“Effects of K₂CO₃ Addition on Inclusions in High-Carbon Steel for Saw Wire”
Authors: Liangjun Chen, Weiqing Chen, Yang Hu, Zhaoping Chen, Yingtie Xu, Wei Yan
Year: 2018