Assoc. Prof. Dr. PESCARU MARIA | Renewable Energy Power Generation | Best Researcher Award

Nanjing University of Science and Technology | Turkey

Jinhong Liu is a distinguished researcher and lecturer in the College of Automation at Nanjing University of Science and Technology, China, with a strong focus on electrical engineering and renewable energy systems. Born in Hunan Province, China, he earned his B.S. and Ph.D. degrees in electrical engineering from Chongqing University, demonstrating early excellence in both theoretical and applied aspects of his field. During his doctoral studies, he undertook joint training at the Norwegian University of Science and Technology, where he focused on modeling and control strategies for grid-connected renewable energy generation systems, gaining international research experience and contributing to advancements in sustainable power integration. His current research interests include digital control techniques, optimization of renewable energy generation systems, and the development of robust control strategies for grid stability in the context of increasing renewable penetration. Dr. Liu has contributed significantly to the understanding and practical application of control systems for modern energy networks, integrating theory, simulation, and experimental validation to enhance efficiency and reliability. His work bridges traditional electrical engineering with cutting-edge renewable energy solutions, emphasizing smart grid technologies, intelligent control algorithms, and sustainable power management. Recognized for both technical depth and practical innovation, he continues to publish high-impact research that advances the reliability, stability, and performance of renewable energy systems worldwide. Dr. Liu’s dedication to research, teaching, and international collaboration underscores his role as a leading contributor to the development of future energy systems and digital control methodologies.

Featured Publications:

Li, B., Zhou, L., Yu, X., Zheng, C., & Liu, J. Improved power decoupling control strategy based on virtual synchronous generator. IET Power Electronics, 10(4), 462–470.

Zhou, L., Yu, X., Li, B., Zheng, C., Liu, J., Liu, Q., & Guo, K. Damping inter-area oscillations with large-scale PV plant by modified multiple-model adaptive control strategy. IEEE Transactions on Sustainable Energy, 8(4), 1629–1636.

Liu, J., Zhou, L., Li, B., Zheng, C., & Xie, B. Modeling and analysis of a digitally controlled grid-connected large-scale centralized PV system. IEEE Transactions on Power Electronics, 33(5), 4000–4014.

Lei, J., Gong, Q., Liu, J., Qiao, H., & Wang, B. Optimal allocation of a VRB energy storage system for wind power applications considering the dynamic efficiency and life of VRB in active distribution networks. IET Renewable Power Generation, 13(4), 563–571.

Liu, J., Zhou, L., & Molinas, M. Damping region extension for digitally controlled LCL‐type grid‐connected inverter with capacitor‐current feedback. IET Power Electronics, 11(12), 1974–1982.

Zheng, C., Zhou, L., Yu, X., Li, B., & Liu, J. Online phase margin compensation strategy for a grid‐tied inverter to improve its robustness to grid impedance variation. IET Power Electronics, 9(4), 611–620.

Mr. Bipul Chandra Biswas | Renewable Energy System | Best Researcher Award

Student | Gopalganj Science and Technology University | Bangladesh

B.C. Biswas is an emerging researcher in electrical and electronic engineering with a core focus on power-system optimization, photovoltaic device simulation, and next-generation perovskite solar-cell technologies, combining expertise in circuit analysis, power distribution, energy-system design, and computational modelling; he earned his B.Sc. in Electrical and Electronic Engineering from Gopalganj Science and Technology University (GSTU) with academic distinction, ranking second in his department and receiving the Vice-Chancellor’s Award for academic excellence as well as the Young Researcher Award at ABCD Laboratory, where he served as Junior Research Collaborator in the Energy and Technology Research Division (ETRD) and contributed to investigations in renewable-energy integration and sustainable power-conversion strategies, developing solid skills in SCAPS-1D photovoltaic simulation, density-functional-theory-based material analysis, and machine-learning-driven optoelectronic optimization for lead-free perovskite absorbers such as Ca₃BiCl₃, Ca₃BiI₃, Sr₃PF₃, Ca₃NBr₃, Mg₃BiCl₃, Ca₃BiF₃, and Ca₃BiBr₃, authoring and co-authoring a series of peer-reviewed publications in journals including Journal of Computational Chemistry, Physica B Condensed Matter, Solar Energy Materials and Solar Cells, and Materials Science and Engineering B, where his research highlighted comprehensive optoelectronic property analysis, charge-transport-layer engineering, bifacial cell performance improvement, and machine-learning-guided HTL selection for enhanced open-circuit voltage and efficiency gains; his undergraduate thesis on perovskite-solar-cell performance optimization under the guidance of Dr A.T.M. Saiful Islam is under journal review, and he has several additional manuscripts on transport-layer tuning and advanced ML-assisted device modelling currently under peer-review, reflecting a strong trajectory of scholarly productivity at the entry level.

Profile: Google Scholar

Featured Publications:

Shimul, A. I., Biswas, B. C., Ghosh, A., Alrafai, H. A., & Hassan, A. A. (2025). A study on optoelectronic properties and charge transport layer influence in novel Sr₃PF₃-based perovskite solar cells using numerical simulation and machine learning. Solar Energy Materials and Solar Cells, 293, 113838.

Shimul, A. I., Biswas, B. C., Ghosh, A., Awwad, N. S., & Chaudhry, A. R. (2025). Performance assessment and machine-learning-driven optimization of Ca₃NBr₃-based bifacial perovskite solar cells: Improving VOC via HTL and charge-transport-layer analysis. Materials Science and Engineering: B, 322, 118600.

Biswas, B. C., Shimul, A. I., Ghosh, A., Awaad, N. S., & Ibrahium, H. A. (2025). Exploring lead-free Ca₃BiCl₃-based perovskite solar cells: A computational comparison of charge-transport layers with DFT and SCAPS-1D. Journal of Computational Chemistry, 46(25), e70231.

Biswas, B. C., Shimul, A. I., Alshihri, A. A., El-Rayyes, A., Khan, M. T., & Rahman, M. A. (2025). Design and optimization of Ca₃BiI₃-based solar cells through a comprehensive analysis of optoelectronic properties and charge-transport layers using simulation and ML. Physica B: Condensed Matter, 417770.