Ziyodulla Yusupov | Renewable Energy | Editorial Board Member

Prof. Dr. Ziyodulla Yusupov | Renewable Energy | Editorial Board Member

Professor | Karabuk University | Turkey

Prof. Dr. Ziyodulla Yusupov is a leading researcher in electrical power systems with a strong focus on optimization, intelligent control, microgrid operation, renewable energy integration, and electric vehicle–based energy solutions. His work centers on enhancing system reliability, improving energy efficiency, and advancing sustainable technologies for future power networks. He has played a key role in major international and national research initiatives, most notably the Uzbekistan–Belarus collaborative project (2024–2025) on decentralized electric vehicle charging systems, where he contributes to proposal development, intelligent scheduling strategies, system design, and annual research reporting. His earlier national projects span critical areas such as frequency-adjustable electric drives, resource-saving control modes, energy-efficient pump station operations for mining and agriculture, and the modeling and optimization of electric, hydraulic, and mechanical processes in pump systems. These projects highlight his long-standing expertise in energy management, dynamic system modeling, and the development of rational control principles that improve operational sustainability across industrial utilities. Prof. Yusupov’s research output includes widely cited publications on superconducting magnetic energy storage optimization, integrated photovoltaic systems for power system stability, renewable energy assessment, and the role of clean energy in reducing emissions. His work contributes to advancing the understanding of how renewable resources, storage technologies, and smart control systems can be harmonized to support resilient, low-carbon energy infrastructures. Through his extensive research contributions, collaborative projects, and sustained focus on innovation, he continues to influence the evolution of modern power systems and supports global efforts toward cleaner, smarter, and more efficient energy solutions.

Profile:  Scopus  |  ORCID  |  Google Scholar

Featured Publications

Khaleel, M., Yusupov, Z., Nassar, Y., El-Khozondar, H. J., Ahmed, A., & Alsharif, A. (2023). Technical challenges and optimization of superconducting magnetic energy storage in electrical power systems. e-Prime: Advances in Electrical Engineering, Electronics and Energy, 5, 100223.

Khaleel, M., Yusupov, Z., Ahmed, A., Alsharif, A., Nassar, Y., & El-Khozondar, H. (2023). Towards sustainable renewable energy. Applied Solar Energy, 59(4), 557–567.

Nassar, Y., El-Khozondar, H. J., Ghaboun, G., Khaleel, M., Yusupov, Z., … (2023). Solar and wind atlas for Libya. International Journal of Electrical Engineering and Sustainability, 27–43.

Khaleel, M., Yusupov, Z., Yasser, N., El-Khozondar, H., & Ahmed, A. A. (2023). An integrated PV farm to the unified power flow controller for electrical power system stability. International Journal of Electrical Engineering and Sustainability, 18–30.

Khaleel, M., Yusupov, Z., Alderoubi, N., Abdul_jabbar, R. L., Elmnifi, M., … (2024). Evolution of emissions: The role of clean energy in sustainable development. Challenges in Sustainability, 12(2), 122–135.

Kai Tong | Renewable Materials | Best Researcher Award

Dr. Kai Tong | Renewable Materials | Best Researcher Award

Lecturer | Yiwu Industrial & Commercial College | China

Dr. Kai Tong is a dedicated Lecturer at Yiwu Industrial & Commercial College, China, recognized for his scholarly contributions in the fields of renewable materials and engineering structures. He earned his academic qualifications from Chongqing Jiaotong University, where he also held various academic and invited positions that strengthened his expertise in applied engineering research. With a strong research background, Dr. Tong has focused on developing sustainable and innovative materials that contribute to advancements in renewable engineering practices and environmentally conscious construction methods. His research portfolio includes 24 published documents with a total of 235 citations and an h-index of 8, reflecting both the quality and impact of his scientific work within the academic community. He is actively engaged in professional memberships and has participated in collaborative initiatives aimed at promoting knowledge transfer and technological innovation in the materials engineering domain. Dr. Tong’s commitment to academic excellence and his pursuit of research that bridges scientific understanding with practical applications position him as a promising researcher in the evolving field of sustainable engineering. His academic journey and professional achievements highlight his contribution to addressing contemporary challenges in materials science, while his growing citation record underscores his influence among peers. Through his continued research and teaching efforts, Dr. Kai Tong remains devoted to advancing the frontiers of renewable material development and fostering the next generation of engineers equipped with sustainable innovation skills.

Profile:  Scopus  |  ORCID

Featured Publications

Zhang, H., Tong, K., Zhang, Y., Qu, Y., & Zhou, J. (2025, October). Research on quantitative detection method of internal rebar stresses in RC beams under cyclic loading based on force-magnetic coupling optimization model. Construction and Building Materials.

Zhou, J., Tong, K., Zhang, H., Hu, T., Zhang, S., Liao, J., & Wu, X. (2025, April). Study on quantitative assessment of stress state of RC beams based on force-magnetic coupling effect. Engineering Structures.

Tong, K., Zhou, J., Zhao, R., Zhang, Y., & Liu, S. (2024, October). Investigation on SMFL field distribution of different types of rebars under axial tensile failure tests. Journal of Materials in Civil Engineering.

Zhang, Y., Zhang, H., Tong, K., Gong, Y., Qu, Y., Zhou, J., & Zhang, J. (2024, January). A key contribution for concrete durability: Harnessing force‐magnetic coupling for stress state detection in reinforced concrete beams. Structural Control and Health Monitoring.

Zhang, H., Li, H., Zhou, J., Tong, K., & Xia, R. (2023). A multi-dimensional evaluation of wire breakage in bridge cable based on self-magnetic flux leakage signals. Journal of Magnetism and Magnetic Materials.