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

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.

Victor Belyaev| Renewable Energy | Best Researcher Award

Mr. Victor Belyaev| Renewable Energy | Best Researcher Award

Mining Univercity | Russia

Victor Belyaev is an accomplished academic and researcher whose career reflects a lifetime of dedication to mathematics, mechanics, and theoretical cybernetics, he received his education at Saint Petersburg State University where he specialized in the Faculty of Mathematics and Mechanics within the Department of Theoretical Cybernetics, his deep theoretical foundation led him to a long and distinguished professional journey at Saint Petersburg Mining University where he served as Associate Professor in the Department of Computer Science and Computer Technology and later advanced to the role of Associate Professor in the Department of Digital Modeling, throughout his career he contributed to the academic development of generations of students by integrating mathematical rigor with practical computing knowledge, his work has consistently bridged theoretical principles with applied digital solutions, enabling the growth of computational approaches in engineering, modeling, and cybernetic systems, his teaching philosophy has been grounded in clarity, precision, and adaptability, qualities that have made him a respected mentor within the university community, his research interests align with digital modeling, systems design, computational frameworks, and the practical applications of theoretical computer science, drawing from his solid background in mathematics and mechanics he has guided students and colleagues in exploring the intersections between computational logic, mathematical optimization, and real-world problem solving, his expertise spans advanced computer technologies, cybernetic structures, algorithmic methods, and digital simulations that form the backbone of modern computing education, beyond his teaching and research he has also contributed to academic administration and curriculum development, ensuring that programs remain relevant to evolving technological landscapes, his long tenure at the university highlights not only professional excellence but also a remarkable ability to adapt to the transformations in computing from traditional systems to modern digital infrastructures, his legacy is characterized by intellectual commitment, academic mentorship, and impactful research contributions, positioning him as a highly respected figure in the academic landscape of computer science, digital modeling, and theoretical cybernetics.

Profile: Orcid

Featured Publications:

Nevskaya, M., Belyaev, V., Aleshichev, S., Vinogradova, V., & Shagidulina, D. (2025). Data systematization and preliminary analysis of accidental oil and petroleum product spills in the Russian Arctic and Far North. Resources, 14(9), 147.

Nevskaya, M. A., Belyaev, V. V., Pasternak, S. N., Vinogradova, V. V., & Shagidulina, D. I. (2024). Accidental oil spills in the Arctic: An assessment of potential soil damage. Север и рынок: формирование экономического порядка, 3(85), 101–112.

Romanchikov, A. Y., Baltyzhakova, T. I., & Belyaev, V. V. (2024). Evaluation of public land transport accessibility in St. Petersburg, Russia, using a geospatial approach. Geodesy and Cartography, 100(3), 43–51.

Nevskaya, M. A., Raikhlin, S. M., Vinogradova, V. V., Belyaev, V. V., & Khaikin, M. M. (2023). A study of factors affecting national energy efficiency. Energies, 16(13), 5170.

Kozhubaev, Y., Belyaev, V., Murashov, Y., & Prokofev, O. (2023). Controlling of unmanned underwater vehicles using the dynamic planning of symmetric trajectory based on machine learning for marine resources exploration. Symmetry, 15(9), 1783.

Kozhubaev, Y., Belyaev, V., Korobitcyna, M., Zhiligotov, R., & Yiming, Y. (2023). Design of smart input devices. E3S Web of Conferences, 389, 05041.

Musta, L. G., Zhurov, G. N., & Belyaev, V. V. (2019). Modeling of a solar radiation flow on an inclined arbitrarily oriented surface. Journal of Physics: Conference Series, 1333(3), 032054.

Kovyazin, V., Belyaev, V., Pasko, O., & Romanchikov, A. (2014). Taxation indices of forest stand as the basis for cadastral valuation of forestlands. IOP Conference Series: Earth and Environmental Science, 21(1), 012026.

Romanchikov, A., Kovyazin, V., & Belyaev, V. (2014). Use of forest inventory data as a new method for cadastral valuation of forestlands in North-West Russia. Forestry Studies, 61(1), 39–47.

MAbdelhakim Hassabou | Renewable Energy | Best Researcher Award

Prof. Dr. MAbdelhakim Hassabou | Renewable Energy | Best Researcher Award

Cambridge Corporate University | Switzerland

Hassabou, Professor and Dean of Postgraduate Studies in Renewable Energy at CCU, Switzerland, recognized for pioneering contributions in solar desalination technologies, renewable energy management, integrated polygeneration systems, and sustainable energy-water nexus innovations, has an academic foundation spanning mechanical power engineering, environmental engineering sciences, and advanced energy research, with a distinguished doctoral achievement from Technische Universität München focusing on experimental and numerical analysis of PCM-supported humidification–dehumidification solar desalination systems, and earlier academic excellence from Ain Shams University and Cairo University, building expertise in solar still performance, environmental systems, and power engineering, his professional journey encompasses impactful research roles at the Strategic Research Unit in Egypt, the Solar Research Center at the Institute of Thermodynamics in Germany, the Qatar Environment & Energy Research Institute, and leadership at CCU Switzerland where he has directed postgraduate renewable energy programs, developed solar thermal and photovoltaic applications, solar cooling and heating, concentrated solar power, energy storage systems, waste-to-energy and waste-to-water technologies, and industrial-scale renewable energy projects, his scientific excellence has been recognized with numerous international awards including prestigious sustainability prizes, certificates of appreciation from leading institutions, and major recognition for the patented self-sustainable district cooling and desalination system, his thought leadership is evidenced through keynote addresses, plenary talks, and invited lectures across global forums in Europe, the Middle East, Asia, and South America, covering solar hybrid photovoltaic-thermal systems, green hydrogen, seawater desalination, district cooling, climate change mitigation, and integrated energy systems, with strong contributions to academia, industry, and innovation linking advanced experimental and computational analysis of heat and mass transfer with real-world deployment, entrepreneurial vision, and strategic policy planning for future energy and water security.

Profile:  Scopus

Featured Publications:

Author(s). (2022). Simulation of phase change material absorbers for passive cooling of solar systems. Energies.

Danish Khan | Energy | Best Scholar Award

Dr. Danish Khan | Energy | Best Scholar Award

Assistant Professor at Shenzhen Technology University, China

🎓 A dedicated scientist and educator with expertise in renewable energy and electrical engineering, specializing in perovskite solar cells. 🌱 Holds diverse academic and professional experience in Pakistan and China, demonstrating a passion for innovative research and teaching. 💡 A dedicated scientist and educator with expertise in renewable energy and electrical engineering, specializing in perovskite solar cells. 🌱 Holds diverse academic and professional experience in Pakistan and China, demonstrating a passion for innovative research and teaching. 💡

Publication Profile

scholar

Education🎓 

PhD in Renewable Energy (2014.09-2019.06): Research focus on perovskite organic photovoltaics at North China Electric Power University. Master’s in Electrical Engineering (2012.09-2014.06): Specialization in insulation materials at North China Electric Power University Undergraduate in Electrical Engineering (2007.09-2011.06): Focused on insulating materials at COMSATS University, Pakistan.

Experience👩‍🏫

Scientist in Materials Perovskite R&D (2023.03-Present): Researching perovskite solar cells. Postdoctoral Researcher (2021.03-2023.02): Worked on doped HTMs and titanium ore solar cells at Southern University of Science and Technology. Assistant Professor (2019.09-2021.02): Taught electrical engineering and materials courses at Indus University, Pakistan, and served as part-time acting director.

Awards and Honors🔍

HEC Pakistan Certified Doctoral Supervisor.  Guest speaker at MEIE2020 and the 4th Symposium on Optoelectronics Materials and Devices.  Reviewer for SCI journals.

Research Focus🌞

Specializes in perovskite solar cells, focusing on stability, efficiency, and advanced doped HTMs.  Expertise in materials characterization using NMR, XRD, SEM, TEM, and computational tools like Materials Studio and MATLAB.

Publications 📖

📘 Competitive assessment of South Asia’s wind power industry: SWOT analysis and value chain combined model – Energy Strategy Reviews, 2020. Cited: 82.

🌞 Dopant-free phthalocyanine hole conductor for stable perovskite solar cells with 23% efficiency – Advanced Functional Materials, 2022. Cited: 67.

📊 Photovoltaic power forecasting using Elman Neural Network – IEEE Conference, 2017. Cited: 43.

🧪 Nexuses Between Chemical Design and Small Molecule Hole Transport Materials – Small, 2023. Cited: 41.

🔬 Dielectric properties of transformer oil-based silica nanofluids – IEEE, 2015. Cited: 40.

⚛️ Thiophene-functionalized phthalocyanine isomers for defect passivation in perovskite solar cells – Journal of Energy Chemistry, 2022. Cited: 36.

🏭 Incorporation of carbon nanotubes in organic solar cells – Ain Shams Engineering Journal, 2021. Cited: 36.

🔋 Design and performance analysis of PV grid-tied systems with energy storage – Int. J. Electrical and Computer Engineering, 2021. Cited: 32.

🌟 Improving optical properties of SnO₂ nanoparticles via Ni doping – Current Research in Green and Sustainable Chemistry, 2021. Cited: 30.

🌌 Conjugated linker-boosted self-assembled monolayers for perovskite solar cells – Joule, 2024. Cited: 29.

🌐 Hybrid power forecasting with neural networks and air quality index – Int. J. Photoenergy, 2017. Cited: 26.

🧾 Phthalocyanine in perovskite solar cells: A review – Materials Chemistry Frontiers, 2023. Cited: 22.

🏗️ Ion-Dipole interaction for inverted perovskite solar cells – Advanced Functional Materials, 2024. Cited: 20.

🌞 Charge transport-free np homojunction perovskite solar cells – Solar Energy, 2022. Cited: 20.

Conclusion

This individual is highly suitable for the Research for Best Scholar Award due to their exceptional academic credentials, impactful research contributions in renewable energy, and proven leadership skills in both academia and research. Their ability to bridge theoretical knowledge with practical applications in perovskite solar cells aligns with the award’s focus on scholarly excellence.

To further strengthen their candidacy, they could diversify their research focus, pursue interdisciplinary collaborations, and secure significant grants. With continued professional growth, this individual is well-positioned to make transformative contributions to academia and renewable energy innovation.