Lei Zhang | Supply Chain Management | Best Researcher Award

Published on by Business Strategy

Dr. Lei Zhang | Supply Chain Management | Best Researcher Award

Dr. Lei Zhang, Guangzhou City University of Technology, China.

Dr. Zhang has received numerous accolades recognizing both his academic and professional excellence. In 1996, he earned a Third-Class Merit for his performance during the Huabei Oilfield refinery expansion. He was named an Advanced Producer in 2002 and awarded the Outstanding Student Award and People’s Scholarship at Tianjin University in 2006. His leadership role in the Kazakhstan refinery project earned the National Luban Award in 2014, one of the highest honors in Chinese engineering. Most recently, in 2023, he was recognized as an Outstanding Teacher at Guangzhou City University of Technology for his dedication to education and innovation. These awards underscore his consistent performance, leadership, and commitment to advancing supply chain efficiency and energy management in both academic and industrial environments. His proven track record of excellence makes him a fitting candidate for a national or international research accolade.

Profile

Scoups

Education

Dr. Lei Zhang’s educational journey is marked by consistent academic excellence. He earned his PhD in Management Science and Engineering from Tianjin University, preceded by a Master’s degree in Industrial Engineering from the same institution. His foundational undergraduate education was in Material Management Engineering at Jianghan Petroleum Institute. In pursuit of academic distinction, he also completed a postdoctoral fellowship at Tianjin University, focusing on logistics systems, supply chain resilience, and sustainable development. This strong educational background equipped him with the skills to integrate systems engineering, operational logistics, and macroeconomic factors into his research and professional practice. His academic achievements laid the groundwork for his unique approach to logistics, which combines policy, operations, and engineering within a comprehensive analytical framework. Each stage of his education added to his capacity to contribute to both academia and industry, and his qualifications make him highly suitable for recognition through a prestigious research award.

Experience

Dr. Zhang’s extensive professional experience showcases his transition from industry to academia with resounding success. He began his career at CNPC’s Huabei Oilfield, serving in multiple technical and administrative roles, including warehouse director, procurement engineer, and planning engineer. Later, he rose to managerial positions at CNPC Kazakhstan, where he led billion-dollar cross-border infrastructure projects, including refineries and gas compression stations. In academia, he held faculty positions at Wuhan Technology and Business University before joining Guangzhou City University of Technology. His dual exposure enables him to offer students a practical and strategic perspective on logistics, supply chain resilience, and energy security. Dr. Zhang also managed multimillion-dollar logistics projects aligned with the Belt and Road Initiative, reflecting his capability in international project execution. His ability to integrate practical project knowledge with pedagogical strategies provides a unique learning experience for students and positions him as an exceptional mentor and educator.

Research Interests

Dr. Lei Zhang’s research interests are interdisciplinary, addressing urgent issues at the intersection of logistics, sustainability, and energy economics. His core areas include logistics and supply chain management, with a focus on energy supply chains, engineering logistics, project management, and supply chain resilience. He also investigates regional economic development and energy policy, applying quantitative models like SVM, AHP, and rough set theory to evaluate risks and optimize systems. His recent projects delve into intelligent logistics under smart city frameworks, cross-border security in the China-Kazakhstan energy corridor, and cold chain logistics accounting for product shelf life. Dr. Zhang is currently leading national-level research on enhancing production capacities in China’s precision manufacturing industries. His commitment to applied research ensures practical relevance and policy-level impact, making him a valuable contributor to both national and international logistics and energy dialogues.

Awards and Recognition

Dr. Zhang has received numerous accolades recognizing both his academic and professional excellence. In 1996, he earned a Third-Class Merit for his performance during the Huabei Oilfield refinery expansion. He was named an Advanced Producer in 2002 and awarded the Outstanding Student Award and People’s Scholarship at Tianjin University in 2006. His leadership role in the Kazakhstan refinery project earned the National Luban Award in 2014, one of the highest honors in Chinese engineering. Most recently, in 2023, he was recognized as an Outstanding Teacher at Guangzhou City University of Technology for his dedication to education and innovation. These awards underscore his consistent performance, leadership, and commitment to advancing supply chain efficiency and energy management in both academic and industrial environments. His proven track record of excellence makes him a fitting candidate for a national or international research accolade.

Publications Top Notes

“A Comparative Study of Strategic Petroleum Reserve Policies”

“Natural Gas Reserve Policies: Strategic Insights”

“Evaluation of China’s Petroleum Safety System”

“Petroleum Security in China”

“National Innovation Strategy Comparison”

Conclusion

Dr. Lei Zhang embodies the qualities of an outstanding researcher: visionary, interdisciplinary, and grounded in practical application. With deep roots in engineering, logistics, and energy economics, he delivers a holistic perspective essential to modern industrial and academic innovation. His career trajectory—ranging from frontline logistics operations in the petroleum sector to spearheading academic research on cross-border supply chain systems—exemplifies impact, leadership, and scholarly excellence. His publications influence policy and academic circles alike, while his awards validate his dedication to performance and innovation. Whether optimizing smart logistics or advising national strategy on energy reserves, Dr. Zhang proves himself an asset to the global research community. His profile merits recognition with the Best Researcher Award, acknowledging not just past achievements but his ongoing commitment to future-focused, transformative research in logistics and supply chain innovation.

Shuai Deng | Supply Chain Management | Best Researcher Award

Published on by Business Strategy

Mr. Shuai Deng | Supply Chain Management | Best Researcher Award

Mr. Shuai Deng, Hunan Institute of Technology, China

Dr. Deng Shuai, Ph.D., is an Associate Professor at the School of Safety and Management Engineering, Hunan Institute of Technology, China. With a robust academic and research background in logistics, supply chain optimization, and intelligent decision systems, he has developed cutting-edge frameworks for industrial applications across manufacturing and logistics sectors. Passionate about advancing technology in sustainable and secure data systems, Dr. Deng has emerged as a recognized figure in supply chain intelligence, combining academic rigor with real-world innovation.

🌟 Profile

Scopus

🎓 Education

Dr. Deng earned his Ph.D. in Logistics and Supply Chain Management from Central China Normal University (2015–2018), where he focused on intelligent optimization algorithms and simulation-based systems. His doctoral research laid the foundation for his later work in integrating AI into collaborative and secure supply chains.

💼 Professional Experience

Currently serving as an Associate Professor at Hunan Institute of Technology, Dr. Deng has pioneered hybrid intelligent decision systems tailored for dynamic industrial environments. His contributions span simulation-driven optimization using platforms like NetLogo, AnyLogic, Vensim, and MATLAB. His applied research focuses on demand forecasting, distributed logistics, and multi-domain scheduling systems, and he is recognized for bridging theoretical research with practical system deployments.

🔬 Research Interests

Dr. Deng’s research interests include data security and privacy preservation 🔐, collaborative management in supply chains 🔄, and intelligent optimization algorithms powered by deep learning and reinforcement learning 🧠. He also explores multi-scale simulation systems for complex manufacturing and logistics operations 🔧, seeking to enhance resilience and efficiency in global supply networks.

🏆 Awards

Dr. Deng has received recognition for his impactful research through multiple publications in top-tier SCI/SSCI journals and international conference proceedings. His work continues to influence both academic and industrial communities, with growing citation metrics and collaborations.

📚 Selected Publications

Deng S., Gong Y., Tang Q., et al. (2025). An item-level RFID investment decision in green supply chain considering information leakage. International Journal of Information Systems and Supply Chain Management.

Deng S., Li Y., Guo H., et al. (2016). Solving a closed-loop location-inventory-routing problem with mixed quality defects returns in E-commerce by hybrid ant colony optimization algorithm. Discrete Dynamics in Nature and Society.

Deng S., Li Y., Zhou T., et al. (2015). Study on recyclable reserve logistics network optimization based on E-commerce.

Deng S., Zhou D., Wu G., et al. (2023). Evolutionary game analysis of three parties in logistics platforms and freight transportation companies’ behavioral strategies for horizontal collaboration. Complex & Intelligent Systems.

Li C., Guo H., Zhang Y., et al. (2018). An improved differential evolution algorithm for a multicommodity location-inventory problem with false failure returns. Complexity.

Li Y., Deng S., Zhang Y., et al. (2018). Coordinating the retail supply chain with item-level RFID and excess inventory under a revenue-cost-sharing contract. International Transactions in Operational Research.

Shi W., Deng S. (2022). Process reduction of integrated emergency-defenses system based on heuristic. In 2022 Int. Conf. on Electronics and Devices, Computational Science (ICEDCS).

Shi W., Deng S., Li S. (2024). An improved information entropy for the integrated emergency-defence system capability evaluation. International Journal of Automation and Control.

You G., Guo H., Dagestani A. A., et al. (2021). Evolutionary game analysis of three players on behavioural strategy of P2P lending participants: a sustainable operations perspective. Complexity,

You G., Guo H., Dagestani A. A., et al. (2021). Evaluating reputation of internet financial platform: an improved fuzzy evaluation approach. Discrete Dynamics in Nature and Society.