Kebiao Yuan | Strategic Decision-Making | Best Researcher Award

Dr. Kebiao Yuan | Strategic Decision-Making | Best Researcher Award 

Lecturer at Ningbo University of Technology | China 

Dr. Kebiao Yuan is a scholar specializing in logistics engineering and transportation management. He completed his doctoral studies in logistics engineering and management and holds a master’s degree in transportation planning and management, along with a bachelor’s degree in traffic engineering. His research focuses on port cluster development, collaborative governance, sustainable logistics, and the integration of digital technologies in supply chains. Throughout his academic career, he has actively contributed to numerous national and provincial research projects, including studies on regional port integration, air pollutant emission governance, port cooperation mechanisms, and the modernization of China’s port and shipping industries. Yuan’s work has accumulated 33 citations across 30 documents, with an h-index of 4, underscoring his growing influence in the field of logistics and transportation research. His work often employs evolutionary game theory, bibliometric analysis, and system modeling to address challenges in transportation planning, port governance, and supply chain resilience. In addition to research, he has gained practical experience through internships in transportation planning and urban design, contributing to projects in public transport optimization, highway ecological zones, tourism passenger flow forecasting, and rural revitalization. Yuan has published extensively as a first author or corresponding author in leading journals, including Transport Policy, Sustainability, Mathematics, Ocean & Coastal Management, and Transportation Research Record, with his research covering port cooperation, emission reduction, infrastructure effects on urban growth, and sustainable logistics practices. His contributions have earned recognition in academic competitions and scholarships, reflecting both his research excellence and commitment to advancing sustainable and collaborative approaches in transportation and port logistics.

Profiles : Scopus | ORCID 

Featured Publications : 

Yuan, K., Xu, X., Xu, Z., & Fu, H. (2025). Research on the impact mechanism of digital technology on the new-quality productivity of port logistics. PLOS ONE.

Xue, C., Chao, Y., Xie, S., & Yuan, K. (2025). Will road infrastructure become the new engine of urban growth? A consideration of the economic externalities. Sustainability, 17(15), 6813.

Xue, C., Chao, Y., Xie, S., & Yuan, K. (2025). The health effects of economic growth: Evidence from PM2.5-attributable mortality in China. Economies, 13(7), 192.

Feng, X., Chen, Y., Pan, H., Chao, Y., Yuan, K., & Yue, Z. (2025). Inter-port relationships management: A bibliometric analysis and a systematic review of influencing factors of port co-opetition patterns. Ocean & Coastal Management, 265, 107656.

Yuan, K., Ma, L., & Wang, R. (2025). Research on collaborative governance mechanism of air pollutant emissions in ports: A tripartite evolutionary game analysis with evidence from Ningbo-Zhoushan Port. Mathematics, 13(12), 2025.

Reza Khalili | Strategic Decision-Making | Best Researcher Award

Mr. Reza Khalili | Strategic Decision-Making | Best Researcher Award 

Research Assistant at Stony Brook University | United States 

Mr. Reza Khalili is a graduate student in Electrical and Computer Engineering at Stony Brook University, where he is pursuing a Ph.D. in Electrical Engineering with a strong academic record. His educational background also includes a master’s degree in Electrical Engineering from Amirkabir University of Technology and a bachelor’s degree in Electrical Engineering from the University of Isfahan. His research primarily focuses on power systems optimization, renewable energy integration, electricity markets, and the application of advanced computational and machine learning methods in energy systems. His scholarly impact is reflected in 81 citations across 78 documents, with 6 publications and an h-index of 4. Khalili has contributed to several peer-reviewed journals and conferences, publishing impactful works on topics such as robust multi-objective optimization for electricity markets, socio-economic energy hub design, peer-to-peer energy trading, and uncertainty management in renewable energy integration. His co-authored works have appeared in respected journals including Applied Energy, Journal of Energy Storage, and Energy & Buildings, and he has contributed a book chapter published by Taylor & Francis. His conference papers include research on security-constrained optimal power flow and distribution network resilience, one of which was recognized as a best paper finalist at IEEE SmartGridComm. In his academic career, Khalili has gained valuable research experience as a graduate research assistant, working on advanced optimization techniques, contingency prediction in power systems, and uncertainty quantification methods.

Profiles : Scopus | ORCID | Google Scholar 

Featured Publications: 

Khalili, R., Khaledi, A., Marzband, M., Nematollahi, A. F., Vahidi, B., & Siano, P. (2023). Robust multi-objective optimization for the Iranian electricity market considering green hydrogen and analyzing the performance of different demand response programs. Applied Energy, 334, 120737.

Darvishi, A., Ranjbar, B., Gharibi, R., Khalili, R., & Dashti, R. (2024). Multi-objective optimization of a socio-economic energy hub with demand response program and considering customer satisfaction. Journal of Energy Storage, 100, 113624.

Gharibi, R., Khalili, R., Vahidi, B., Nematollahi, A. F., Dashti, R., & Marzband, M. (2025). Enhancing energy hub performance: A comprehensive model for efficient integration of hydrogen energy and renewable sources with advanced uncertainty management strategies. Journal of Energy Storage, 107, 114948.

Gharibi, H., Gharibi, R., Khalili, R., Dashti, R., Marzband, M., & Rawa, M. (2025). Optimizing multi-objective peer-to-peer energy trading in green homes: Robust strategies to address non-probabilistic uncertainty using IGDT with integrated demand response. Energy and Buildings, 116435.

Gharibi, R., Vahidi, B., Dashti, R., & Khalili, R. (n.d.). From electrons to solutions: Power-to-X strategies for energy systems integration. In Power-to-X in regional energy systems (pp. 201–227). Taylor & Francis.