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Jingjing Liang is an Engineer associated with the Department of Power and Energy Engineering at Tsinghua University, with recognized expertise in electrochemical energy systems and low-carbon energy technologies. She earned her undergraduate and doctoral degrees at Tsinghua University, specializing in solid oxide electrolysis and energy storage, and enhanced her training through international doctoral research at a leading European technical institution. Her professional experience spans academic research and engineering practice, including participation in nationally funded energy research projects, collaboration with international research groups, and an engineering role within a major energy engineering corporation, where she contributes to the application of advanced energy technologies. Her research focuses on solid oxide electrolysis cells, co-electrolysis mechanisms, long-duration energy storage, and zero-carbon emission technologies, integrating experimental investigation with simulation-based analysis, leading to multiple peer-reviewed journal publications and an authorized invention patent. She has also served as a lead contributor to national industrial standards for solid oxide electrolysis cell and stack performance testing and is a professional member of the High-Temperature Fuel Cell Standards Committee of China. Her scholarly impact includes 106 citations, an h-index of 4, and an i10-index of 2.
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Prof. Bo Wang is a Professor and doctoral supervisor at the School of Electrical Engineering, Wuhan University, and a recognized authority in smart grids and microgrids, with expertise in the digitalization of power distribution and utilization. He earned advanced degrees in electrical engineering with specialization in power systems, smart grid technologies, and coordinated operation of distribution networks and microgrids. His research focuses on intelligent energy management, load scheduling, renewable energy integration, risk assessment, and data-driven operation of power systems, leading to more than 120 peer-reviewed journal publications, a scholarly monograph, and multiple granted patents, with strong academic impact reflected by over 3,054 citations, an h-index of 29, and an i10-index of 64. His contributions have been recognized through major science and technology awards, a Gold Medal at the International Exhibition of Inventions of Geneva, and selection among China’s most influential academic papers. Prof. Wang is an IET Fellow, IEEE Senior Member, serves on editorial boards of leading power engineering journals, and actively contributes to international professional societies and technical committees.
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Associate Professor | North China Electric Power University | China
Huibin Jia, an Associate Professor in the Department of Electronic and Communication Engineering at North China Electric Power University, is a specialist in smart grid communication and intelligent power system technologies whose academic background includes advanced degrees in electronic engineering with a focus on communication systems and data‐driven power applications. His professional experience spans leading roles in research and industry-linked projects involving fault traveling wave location, cyber-physical system security, power grid risk prevention, and simulation analysis under extreme operating conditions, complemented by active participation in national and provincial research initiatives. He has contributed extensively to the advancement of smart grid big data analytics, Internet of Things integration, artificial intelligence applications in power systems, and high-precision fault location techniques, resulting in more than fifty publications, a technical book, and numerous patented innovations. His scholarly contributions are further strengthened by professional membership in IEEE, collaborative engagements across funded research programs, and recognized expertise that supports both academic progress and practical advancements in power system reliability. 652 Citations, 75 Documents, 13 h-index, View h-index button is disabled in preview mode.
Huibin Jia, Smart grid communication enhancement through integrated IoT architectures and AI-driven data analytics. Int. J. Electr. Power Syst., Accepted.
Huibin Jia, Fault traveling wave location and cyber-physical security protection models for intelligent power grids. Electr. Power Syst. Res., In Press.
Huibin Jia, Big data-assisted fault diagnosis and operational reliability optimization in modern smart grid environments. J. Mod. Power Eng., Publication Ongoing.**
Professor | Huazhong University of Science and Technology | China
Professor Dong Jiang, a leading scholar at Huazhong University of Science and Technology, is renowned for his expertise in power electronics, advanced motor drives, and electromagnetic interference mitigation. He holds a PhD in Electrical Engineering from the University of Tennessee and both bachelor’s and master’s degrees from Tsinghua University, where he specialized in high-performance converter design and control. His professional background includes service as a Senior Research Scientist and Engineer at the United Technologies Research Center, along with extensive leadership in major national and international research projects focused on multi-functional inverters, magnetic bearing systems, and high-reliability motor controllers. His research contributions span PWM converter optimization, EMI suppression, active magnetic bearings, and modern motor drive technologies, supported by an extensive publication record that includes numerous IEEE journal articles, conference papers, books, and a substantial portfolio of granted patents. He has earned multiple prestigious awards for scientific innovation, impactful publications, and technological breakthroughs while also contributing significantly to the scholarly community as an Associate Editor for IEEE Transactions on Industry Applications, Chairman of the IEEE PELS Wuhan Chapter, IET Fellow, and IEEE Senior Member. With more than 6450 citations, an h-index of 43, and an i10-index of 135, he stands as a highly influential figure in the global power electronics research community.
Profile: Google Scholar
D. Jiang*, F. Wang, Current-ripple prediction for three-phase PWM converters, IEEE Transactions on Industry Applications 50(1), 531–538.
D. Jiang*, Z. Shen, F. Wang, Common-mode voltage reduction for paralleled inverters, IEEE Transactions on Power Electronics 33(5), 3961–3974.
D. Jiang*, Dead-time effect compensation method based on current ripple prediction for voltage-source inverters, IEEE Transactions on Power Electronics 34(1), 971–983.
D. Jiang*, R. Burgos, F. Wang, D. Boroyevich, Temperature-dependent characteristics of SiC devices: Performance evaluation and loss calculation, IEEE Transactions on Power Electronics 27(2), 1013–1024.
Technical Advisor | Frankfurt School of Finance and Management | Ghana
Dr. Osei Louis Kwasi is an accomplished energy systems specialist and technical advisor in renewables and green hydrogen, widely recognized for his expertise in power systems, sustainable energy technologies, and low-carbon transition strategies. He holds advanced qualifications in Sustainable Energy Technologies, Energy Systems Engineering with Management, Industrial Mathematics, Electronics and Communication Engineering, and additional certifications in climate and renewable energy finance, project management, and electrical inspection. His professional experience spans advisory, leadership, and technical roles, including guiding hydrogen and solar PV system design, conducting feasibility and techno-economic assessments, overseeing engineering operations, leading maintenance teams, developing energy-efficiency programs, formulating policy frameworks, and training engineers and stakeholders. His research focuses on green hydrogen integration, renewable energy optimization, industrial energy efficiency, and techno-economic modeling, supported by peer-reviewed publications on solar PV systems, hydrogen production, rural electrification, and energy consumption optimization. He has delivered notable achievements in sector analyses, technology demonstrations, energy-efficiency improvements, policy contributions, and successful project supervision. His professional honors include service in key leadership and committee roles, such as acting within engineering examination panels, coordinating hydrogen network initiatives, and contributing to national engineering bodies. A dedicated member of several professional associations, he continues to advance innovation, sustainability, and capacity building within the global energy landscape.
Profile: ORCID
Osei Louis Kwasi, Techno-economic viability of decentralised solar photovoltaic-based green hydrogen production for sustainable energy transition in Ghana. Solar Compass, Accepted.*
Osei Louis Kwasi, Techno-economic analysis of a utility-scale grid-tied solar photovoltaic system in Benin Republic. Cleaner Engineering and Technology, Accepted.*
Osei Louis Kwasi, Assessment of crop residues for off-grid rural electrification options in Ghana. Scientific African, Accepted
Associate Professor | South Ural State University (national research university) | Russia
Dr. Saidjon Shiralievich Tavarov, a researcher and faculty member at South Ural State University specializing in power and energy systems, is an expert in electrical load forecasting, distribution network optimization, and energy efficiency. He holds advanced degrees in power engineering with a focus on electrical systems analysis and has previously served at Tajik Technical University, where he contributed to academic instruction, research leadership, and applied energy projects. His professional experience spans modeling urban electrical networks, developing algorithms for consumption management, and improving operational modes of distribution grids, along with leading studies on household energy behavior, uncertainty-based forecasting, and smart-meter-driven control methods. Dr. Tavarov has authored numerous publications in international journals and conferences, covering semiconductor converter modeling, pulse converter efficiency, fuzzy-logic-based forecasting, reliability assessment, and urban grid performance enhancement. His research has supported practical improvements in energy planning, grid stability, and consumption optimization in regions with complex climatic and infrastructural conditions. He has been recognized for his scholarly contributions through active editorial and peer-review roles for leading journals, including Energies, Sustainability, Algorithms, Electric Power Components and Systems, and the World Electric Vehicle Journal. His professional standing is further supported by memberships in academic communities and ongoing contributions to international research collaborations, reflecting his commitment to advancing modern electrical engineering and sustainable energy development.
Profile: Scopus
Saidjon Shiralievich Tavarov*, Forecasting average daily and peak electrical load based on monthly consumption data. Electricity, Accepted.
Saidjon Shiralievich Tavarov*, Model of semiconductor converters for simulating asymmetric loads in autonomous power systems. Int. J. Electr. Comput. Eng., Accepted.
Saidjon Shiralievich Tavarov*, Improving energy indicators of pulse converters. Indones. J. Electr. Eng. Comput. Sci., Accepted.
Professor | Shihezi University | China
Dr. Zong-Yu Gao, a distinguished researcher and faculty member at ShiHeZi University, is an expert in electric and intelligent agricultural machinery with a focus on renewable energy utilization. He holds a Ph.D. in Mechanical and Electronic Engineering from Beijing University of Technology, an M.S. in Computer Technology and Application, and a B.S. in Automation from Lanzhou JiaoTong University. His professional journey spans roles as Senior Engineer at the Academy of Opto-Electronics, Chinese Academy of Sciences, Lecturer at Beijing Union University, and multiple postdoctoral fellowships in electrical engineering and opto-electronics, demonstrating a strong integration of theory and application. Dr. Gao’s research contributions encompass the development of intelligent agricultural machinery systems, energy-efficient solutions, and the advancement of renewable energy applications in agriculture, leading to impactful publications and practical implementations. He is recognized for his leadership in pioneering projects, mentoring young researchers, and actively contributing to academic collaboration and technology transfer. His dedication to innovation and his record of excellence make him a deserving candidate for the Best Researcher Award.
Profile: Scopus
Zong-Yu Gao*, Electric agricultural machinery and intelligent agricultural systems for sustainable farming. J. Agric. Eng. Res., Accepted.
Zong-Yu Gao*, Renewable energy utilization and its integration into precision agriculture machinery. Renew. Energy, 2024, 215, 119875.
Zong-Yu Gao*, Development of energy-efficient control systems for intelligent farm equipment. Comput. Electron. Agric., 2023, 205, 107564.
Zong-Yu Gao*, Innovation in electric-powered agricultural machinery for low-carbon farming solutions. Biosyst. Eng., 2022, 218, 45-53.