Nanfu Zong | AI & Materials | Best Researcher Award

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Dr. Nanfu Zong | AI & Materials | Best Researcher Award

Leader of Digital Intelligence Research Institute at Ben Gang Group Corporation | China

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.

Profile: Scopus

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.

Parisa Jourabchi Amirkhizi | Social Manufacturing System | Best Researcher Award

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Ms. Parisa Jourabchi Amirkhizi | Social Manufacturing System | Best Researcher Award

Lecturer at Tabriz Islamic Art University, Iran

Parisa Jourabchi Amirkhizi is a distinguished academic and researcher in the field of industrial design, currently serving as a faculty member at Tabriz Islamic Art University in Iran. Her work spans various aspects of design, including Industry 5.0, design economy, and applied artificial intelligence. With a strong educational background and extensive research contributions, she has made significant strides in advancing industrial design methodologies.

Profile

Google Scholar

Education

Amirkhizi holds a Master’s degree in Industrial Design from Tabriz Islamic Art University, where she focused on developing tools for personality evaluation in products using Iranian archetypes. Her undergraduate studies in the same field laid the foundation for her expertise in design strategies and innovation.

Experience

She has been a lecturer at multiple institutions, including Tabriz Islamic Art University, Seraj University, and College of NabiAkram. Her teaching portfolio covers subjects such as design management, cultural design, service design, and transportation design, reflecting her diverse expertise in industrial design.

Research Interests

Her research interests include Industry 5.0, industrial design, design economy, design management, and applied AI. She explores the integration of artificial intelligence in design processes and its implications for future industrial advancements.

Awards

Amirkhizi has received notable accolades, including the Best in Game Design and Software Section at the 2nd International Media Festival of Imam Reza in 2023 and the second-best award at the Urmia Lake Startup Festival in 2018.

Publications

She has contributed to several high-impact journals, including:

  1. “Redefining Value in the Age of Industry 5.0: Beyond Efficiency” – Corporate Social Responsibility and Environmental Management (2024).
  2. “Investigating the Use of Design Thinking in Identifying Wicked Problems of Start-ups” – Journal of Innovation and Entrepreneurship (2023).
  3. “Applying Design Management Strategies for Promoting Green Industry Innovation” – Journal of Recent Advances in Green Industries Innovation (2023).
  4. “Emotional Effects of Product Form in Individualist and Collectivist Cultures” – Journal of Marketing Communications (2023).
  5. “Optimal Design Method for Orthopaedic Footwear Insole Customisation Based on Anthropometric Data and NURBS System” – Journal of Design Research (2021).
  6. “A Research on the Use of Metaphor Design in Promoting Brand Identity” – Journal of Graphic Engineering and Design (2018).

Conclusion

Parisa Jourabchi Amirkhizi’s contributions to industrial design and applied AI have positioned her as a leading researcher in her field. Her work continues to shape the future of design methodologies, emphasizing innovation and sustainability in industrial applications.