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.