Dr. Nanfu Zong is a visionary leader and pioneering researcher recognized for his transformative work at the intersection of artificial intelligence and the iron and steel industry. As the Director of the Digital Intelligence Research Institute at Ben Gang Group Corporation and a senior engineer of distinction, he has driven the intelligent, high-end, and green evolution of steel production through advanced AI integration. His expertise spans digital modeling, intelligent control, and sustainable process optimization, bridging theoretical innovation with industrial practice. With a robust research portfolio encompassing over forty SCI-indexed journal publications, sixteen major projects, and fifteen patents, Dr. Zong has significantly advanced digital manufacturing intelligence and industrial innovation. His leadership has inspired collaborations with global research powerhouses such as the University of Leicester, Tsinghua University, and major steel enterprises, reinforcing his role as a key figure in the digital transformation of metallurgical engineering. An active member of professional societies and editorial boards, he contributes to shaping the future of intelligent manufacturing through thought leadership and scientific rigor. His research excellence has earned him numerous accolades, including top provincial awards for scientific achievement, underscoring his impact on both academia and industry. Through his strategic vision and pioneering spirit, Dr. Zong continues to redefine how artificial intelligence can revolutionize traditional industries, promoting efficiency, sustainability, and innovation within the global steel sector.
Featured Publications
Zong, N. F., Jing, T., & Gebelin, J. (2025). Intelligent empowerment for green steel manufacturing: Artificial intelligence‐driven process optimization.
Zong, N. F., Jing, T., & Gebelin, J. (2025). Machine learning for tandem cold rolling: Exploring innovations, challenges, and industrial applications.
Zong, N. F., Jing, T., & Gebelin, J. (2025). Machine learning techniques for the comprehensive analysis of the continuous casting processes: Slab defects.