Lei Zhang | Supply Chain Management | Best Researcher Award

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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.

Qinyuan Zhang | Supply Chain Management | Best Academic Researcher Award

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Dr. Qinyuan Zhang | Supply Chain Management | Best Academic Researcher Award

Dr. Qinyuan Zhang, City university of Macau, China.

Dr. Zhang Qinyuan is an emerging scholar and practitioner in the field of Green Supply Chain Management, currently pursuing a Doctor of Business Administration at the City University of Macau. With a strong academic foundation and international exposure, Zhang brings a unique blend of theoretical insights and practical expertise in sustainable operations, corporate responsibility, and digital transformation. Her academic journey has taken her through prestigious institutions like RMIT University in Australia and Fujian Agriculture and Forestry University in China, with notable research collaborations and project experiences across Taiwan and Mainland China. Zhang is recognized for her analytical thinking, proficiency in advanced methodologies such as fuzzy-set Qualitative Comparative Analysis (fsQCA), and dedication to driving environmental accountability in business processes. She contributes actively as a teaching assistant and researcher, with multiple high-impact journal submissions already under her belt 📘🌍.

👩‍🎓 Profile

Scopus

Education 🎓

Dr.  Zhang Qinyuan’s academic pathway exemplifies a steadfast commitment to business innovation and sustainable enterprise. She is currently completing her Doctor of Business Administration (2022–2025) at the City University of Macau, where her research focuses on green supply chains and corporate responsibility. Prior to this, she earned a Master’s in Project Management from RMIT University, Australia (2019–2021), gaining expertise in international project delivery and risk optimization. Her undergraduate studies were in Mechanical Design, Manufacturing, and Automation (2014–2018) at Fujian Agriculture and Forestry University, grounding her in engineering fundamentals. Additionally, Zhang expanded her global perspective as an exchange student at National Dong Hwa University, Taiwan (2015–2016), and through the Zhejiang University International Program (2021). 📚🌏

 Experience 🧑‍💼

Dr. Zhang’s professional and academic experiences reveal her evolution as a capable leader in research and consulting. She served as a teaching assistant in Management Consulting Systems (2023–2024) and Operations Management (2024–2025) at the City University of Macau, facilitating coursework and mentoring peers. She actively contributes to the Macao Foundation-funded project on green supply chains in the hospitality sector of the Greater Bay Area, handling data analysis and report drafting. Her project history includes academic exchanges with Zhejiang University and hands-on training in various analytical tools. Zhang’s research involvement demonstrates a balance of conceptual strength and technical skills in QCA, policy evaluation, and sustainability metrics, equipping her to support both academic and industry initiatives. 💼📊

Research Interests 🔬

Dr. Zhang’s research interests lie at the intersection of sustainability, business transformation, and policy analysis. She is particularly focused on Green Supply Chain Management, exploring its driving factors across industries such as manufacturing, hospitality, and automotive sectors. Her work also delves into Corporate Social Responsibility (CSR) and the digital transformation of enterprises, reflecting a systems-based perspective on organizational change. Using qualitative and quantitative tools like QCA, SPSS, and Nvivo, Zhang bridges theoretical rigor with practical application. Her methodological fluency enables her to model cross-case dynamics and identify pathways to sustainable innovation. Zhang’s vision is to advance academic frameworks that empower businesses to reduce ecological footprints while maximizing stakeholder value. 🌱🔍

Awards and Recognition 🏆

Dr. Zhang Qinyuan has already gained recognition through competitive research project funding from the Macao Foundation (MF2309). Her role in the funded study — investigating green supply chain implementation in the hospitality industry — positions her as a promising researcher in environmental business studies. She has also been selected for academic exchange programs in Taiwan and at Zhejiang University, reflecting her cross-border collaboration potential. Her contributions to scholarly writing and peer-reviewed publications under top-tier supervision further establish her as a future thought leader. Zhang is poised to earn recognition through upcoming journal publications, thanks to her consistent record of excellence and strong mentorship. 🏅📈

Publication Top Notes 📚

Multi-factor Driving Paths of Green Supply Chain Management Implementation in Leading Manufacturers: A Fuzzy-set Qualitative Comparative Analysis

Exploring the Driving Factors for the Implementation of Green Supply Chain Management in the Hotel Industry –

Simulation Analysis of “Old for New” Remanufacturing Closed-loop Supply Chain under Dual Uncertainties


Exploring the Co-evolution Mechanism of Green Supply Chain Management Implementation: A Multi-driver Perspective

How to Improve the Sustainability of End-of-life Vehicles (ELVs): Exploring Extended Producer Responsibility in the Chinese Automobile Industry

Conclusion ✅

Dr. Zhang Qinyuan exemplifies the next generation of scholars committed to sustainable industrial transformation. With a strong interdisciplinary foundation and rigorous methodological training, she has developed a focused research agenda addressing pressing global issues like environmental responsibility, supply chain greening, and enterprise innovation. Her commitment to cross-sectoral analysis and data-driven inquiry stands out, as does her collaboration with top-tier supervisors and institutions. Her research is timely, impactful, and aligned with policy and industry needs. Zhang’s growing portfolio of SSCI-indexed journal submissions, along with her proactive role in funded research, make her a promising candidate for academic distinction and awards in sustainability and business innovation. 🌐🌟

Shuai Deng | Supply Chain Management | Best Researcher Award

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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.

GERMÁN HERRERA VIDAL | Production and Supply Chain | Best Researcher Award

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Dr. GERMÁN HERRERA VIDAL –  Production and Supply Chain –  Best Researcher Award

Universidad del Sinú Seccional Cartagena | Colombia

      Profiles

Scopus

Orcid

📍Current Position

Dr. German Herrera Vidal currently serves as an Associate Researcher endorsed by Colciencias, Colombia’s leading agency for science and technology. He is also a certified business consultant through Argentina’s National Institute of Industrial Technologies (INTI). In this capacity, Dr. Herrera Vidal applies his extensive knowledge to consult and guide projects focusing on improving productivity and competitiveness for diverse business organizations.

 

📝Publication Achievements

With a career rich in academic contributions, Dr. German Herrera Vidal has published numerous papers in top-tier journals and conferences in the fields of industrial engineering and business management. His publications primarily focus on optimization, quality management, and innovative methods for improving productivity. These works have contributed significantly to industry knowledge, offering practical solutions for operational and administrative challenges.

 

🔍Ongoing Research

Dr. Herrera Vidal is actively engaged in research that explores advanced industrial engineering solutions. His ongoing projects include the development of new optimization models and simulations for complex operational processes, designed to minimize inefficiencies and boost productivity. He is also examining the integration of sustainable practices in industrial operations, aligning business goals with environmental stewardship.

 

🔬 Research Interests

His research interests lie in developing solutions that address the complexities of productivity and operational efficiency using optimization and simulation methods. A particular focus of his ongoing work includes investigating the applications of bioinformatics in industrial settings, merging computational techniques with engineering principles to improve data-driven decision-making in complex business processes.

 

🎓Academic Background

Dr. German Herrera Vidal holds a Ph.D. in Engineering with a focus on Industrial Engineering from Universidad Nacional Lomas de Zamora (UNLZ, 2024). He also earned a Master’s in Engineering from Universidad Tecnológica de Bolívar (UTB, 2013) and specialized in Business Management at UTB in 2008. His journey began with a degree in Productivity and Quality Engineering from Politécnico Jaime Isaza Cadavid (PJIC, 2000), laying a solid foundation for his expertise in productivity and quality improvement.

 

🏆Scholarships and Awards 

Throughout his career, Dr. Herrera Vidal has received various scholarships and accolades in recognition of his academic and professional excellence. His outstanding contributions to the fields of productivity and quality have been acknowledged both locally and internationally, positioning him as a leader in industrial engineering.

 

🧬Bioinformatics 

Although Dr. Herrera Vidal’s primary focus is on industrial engineering, he has begun integrating bioinformatics techniques into his research. This cross-disciplinary approach allows him to explore how biological systems can inspire solutions to industrial challenges, thereby broadening his impact in industrial engineering.

 

🌐Professional Associations 

Dr. Herrera Vidal is affiliated with several professional associations in engineering and business management. These memberships provide him with a platform for knowledge exchange and professional development, as well as collaboration opportunities with experts in his field.

 

 📚Training & Workshops 

As a lifelong learner, Dr. Herrera Vidal frequently participates in workshops and training sessions on the latest advancements in industrial engineering, quality control, and productivity optimization. His dedication to continuous professional development ensures that he remains on the cutting edge of industry practices and technologies.

 

🎤Oral Presentations and🗣️Thought Leadership 

Dr. Herrera Vidal has delivered numerous oral presentations at prestigious conferences, sharing his findings on productivity and quality enhancement. These presentations have not only contributed to industry knowledge but also fostered valuable professional networks.

 

🧑‍🔬Tasks Completed as a Researcher 

In his role as a researcher, Dr. Herrera Vidal is responsible for conducting comprehensive studies that address critical issues in industrial engineering. His tasks include designing experiments, collecting and analyzing data, and applying simulation models to test hypotheses. His solutions are tailored to meet the unique needs of businesses, ensuring that his research has a lasting, positive impact on productivity and quality standards.

 

🚀Success Factors 

Dr. Herrera Vidal’s success can be attributed to his technical expertise, innovative thinking, and commitment to practical solutions. His proficiency in using optimization and simulation tools enables him to develop strategies that are both efficient and effective. Furthermore, his ability to communicate complex ideas in a clear and accessible manner ensures that his findings can be readily implemented by businesses and organizations.

 

🧪Publications & Laboratory Experience

Dr. Herrera Vidal’s laboratory experience is extensive, covering various aspects of industrial engineering from data collection to quality control testing. His publications, stemming from hands-on experimentation and rigorous analysis, are a testament to his meticulous approach to research. These works serve as valuable resources for those looking to improve operational efficiency and enhance competitive advantage.

 

🔍 Conclusion

Dr. German Herrera Vidal is a leading expert in industrial engineering, with an exceptional track record in research, innovation, and professional development. His accomplishments in productivity and quality engineering, combined with his commitment to advancing industrial practices, make him an invaluable asset to the field. Dr. Herrera Vidal’s journey exemplifies dedication, expertise, and a forward-thinking approach that will continue to impact industrial engineering for years to come.

📚Publications

Mathematical modelling of purchasing optimization for an MRP system with containerization constraints
   Authors: Germán Herrera Vidal; Danilo Abril Hernandez; Edgar Fernando Eslava; Jairo R. Coronado-Hernández; Samir F. Umaña Ibáñez

   Journal : OPSEARCH

Systematic Configurator for Complexity Management in Manufacturing Systems

   Authors: Germán Herrera-Vidal; Jairo R. Coronado-Hernández; Breezy P. Martínez Paredes; Blas Oscar Sánchez Ramos; David Martinez Sierra

   Journal :Entropy

Route Optimization for Open Vehicle Routing Problem (OVRP): A Mathematical and Solution Approach

   Authors: Diego Gasset; Felipe Paillalef; Sebastián Payacán; Gustavo Gatica; Germán Herrera-Vidal; Rodrigo Linfati; Jairo R. Coronado-Hernández

   Journal : Applied Sciences

Deterministic ınventory models with non-perishable product: a comparative study

   Authors: Germán Herrera Vidal; Camilo Molina Guerrero

   Journal: International Journal of System Assurance Engineering and Management

Measuring complexity in manufacturing systems: a new metric in flow shop (Fs) and job shop (Js) environments

   Authors: Germán Herrera Vidal; Jairo R. Coronado Hernández; Claudia Minnaard

   Journal: Production Engineering