Qingguo Lü | Electrical Engineering  | Research Excellence Award

Published on by Electrical Engineering

Dr. Qingguo Lü | Electrical Engineering  | Research Excellence Award

Associate Researcher | Chongqing University | China

Qingguo Lü is an Associate Researcher at Chongqing University specializing in distributed optimization, privacy-preserving machine learning, and smart grid systems. He earned his doctoral degree in computer science and technology with a strong focus on optimization theory and networked systems and subsequently advanced his expertise through postdoctoral research and international academic collaboration.  His scholarly contributions have delivered both theoretical advances and practical engineering solutions, achieving strong international visibility and impact. His academic influence is reflected by 1,174 citations, an h-index of 18, and an i10-index of 26. In recognition of his expertise and service, he holds multiple editorial and guest editorial appointments in international journals, serves on conference program committees, contributes extensively to peer review, holds innovation patents, and maintains professional standing as an IEEE Senior Member, demonstrating sustained excellence in research, leadership, and academic service suitable for a prestigious research award.

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Featured Publications

Distributed projection subgradient algorithm over time-varying general unbalanced directed graphs
H. Li, Q. Liu, T. Huang – IEEE Transactions on Automatic Control · Citations: 115
Accelerated convergence algorithm for distributed constrained optimization under time-varying general directed graphs
H. Li, Q. Lü, X. Liao, T. Huang – IEEE Transactions on Systems, Man, and Cybernetics: Systems · Citations: 104
Achieving acceleration for distributed economic dispatch in smart grids over directed networks
Q. Liu, X. Liao, H. Li, T. Huang – IEEE Transactions on Network Science and Engineering · Citations: 100
Convergence analysis of a distributed optimization algorithm with a general unbalanced directed communication network
H. Li, Q. Liu, T. Huang – IEEE Transactions on Network Science and Engineering · Citations: 96
Privacy masking stochastic subgradient-push algorithm for distributed online optimization
Q. Lü, X. Liao, T. Xiang, H. Li, T. Huang – IEEE Transactions on Cybernetics · Citations: 80

Assoc. Prof. Dr. Huibin Jia | Smart Grids and Microgrids | Research Excellence Award

Published on by Electrical Engineering

Assoc. Prof. Dr. Huibin Jia | Smart Grids and Microgrids | Research Excellence Award

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.

Profiles: Scopus | ORCID

Featured Publications

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.**

Dr. Louis Kwasi Osei | Energy Storage Systems | Editorial Board Member

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Dr. Louis Kwasi Osei | Energy Storage Systems | Editorial Board Member

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

Featured Publications

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

Prof. Xubin Liu | Smart Grids and Microgrids | Editorial Board Member

Published on by Electrical Engineering

Prof. Xubin Liu | Smart Grids and Microgrids | Editorial Board Member

Professor | Central South University | China

Dr. Xubin Liu is a postdoctoral researcher in Electrical Engineering at the School of Electrical and Electronic Engineering, Huazhong University of Science and Technology, specializing in power systems, renewable energy integration, and microgrid control. He holds a Ph.D. in Electrical Engineering from Hunan University with joint doctoral training at Tsinghua University, preceded by a bachelor’s degree in Electrical Engineering from Northwest University for Nationalities. His professional experience includes leading and contributing to advanced research projects on intelligent distribution networks, multi-energy systems, frequency–voltage coordination, fault current management, energy storage control, and real-time simulation platforms for active distribution networks. Dr. Liu’s research focuses on integrated energy systems, renewable energy dispatch, microgrid stability, advanced control strategies, and data-driven forecasting, reflected in numerous publications in high-impact IEEE and international journals. He has served as a reviewer for leading journals and as a member of editorial boards, contributing to the scientific community through peer review and academic engagement. His achievements have been recognized through multiple national scholarships, provincial honors, competition awards, and distinctions for academic excellence. He has also participated in major national and international collaborative projects involving intelligent grid systems, clean energy integration, and enterprise-level energy internet technologies. Dr. Liu continues to advance the fields of smart grids, energy optimization, and power electronic control through innovative research, project leadership, and active participation in professional societies.

Profile: ORCID

Featured Publications

Xubin Liu*, Frequency-Voltage synergy support method based on grid strength for VSC-MTDC integrated distributed offshore wind farms. IEEE Trans. Power Syst., 2025, 40(4), 3543–3562.

Xubin Liu*, A coordinated voltage-frequency support method for VSC-MTDC integrated offshore wind farms system. IEEE Trans. Power Syst., 2024, 39(1), 1485–1502.

Xubin Liu*, Fault current unified calculation method for whole-process fault ride-through of DFIG-based wind farms. IEEE Trans. Smart Grid, 2024, 15(1), 485–503.

Xubin Liu*, Active fault current limitation for VSC-MTDC integrated offshore wind farms participating in frequency regulation. IEEE Trans. Sustain. Energy, 2024, 15(2), 773–788.

Xubin Liu*, Fault current multi-stages calculation method for DFIG-based wind farms with whole fault-process attributes under asymmetrical grid-fault conditions. IEEE Trans. Sustain. Energy, 2024, 15(4), 2361–2379.

Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award

Published on by Electrical Engineering

Dr. Fatemeh Avazpour | Renewable Energy Systems | Best Academic Researcher Award

PhD | Yazd University | Iran

Dr. Fatemeh Avazpour is a highly accomplished researcher and educator in Water and Hydraulic Structure Engineering, currently affiliated with Yazd University, Iran. She holds a Ph.D. in Water and Hydraulic Structure Engineering from Yazd University, an M.Sc. in Civil Engineering with a focus on Water Engineering from Yasuj University, and a B.Sc. in Civil Engineering from the same institution. Her academic and research pursuits center on hydrology, hydraulic structures, numerical and hydrological modeling, and the integration of artificial intelligence techniques—such as deep learning and optimization algorithms—for streamflow and sediment prediction under climate change conditions. Dr. Avazpour has served as a faculty member teaching hydraulic and hydrologic engineering courses and as a visiting researcher at the Water, Energy and Environment Research Unit of Oulu University, Finland. She has authored and co-authored numerous scientific papers in reputed international journals and conferences, as well as translated technical books on computational fluid dynamics and numerical modeling. Her professional roles include engineering consultancy, project supervision, and refereeing for national and international journals. She is an active member of the Watershed Management Society of Iran and the Iranian Water Resources Association. Her recognitions include selection as a visiting researcher in Finland, top researcher and best faculty awards at Pishtazan University, and first rank in her Master’s program. Dr. Avazpour’s commitment to applying artificial intelligence for sustainable water resource management continues to enhance the interdisciplinary advancement of hydraulic and environmental engineering. She has 20 citations by 20 documents, 4 publications, and an h-index of 2.

Profile: Scopus

Featured Publications

Fatemeh Avazpour*, Flow discharge and suspended sediment load prediction in multiple sites of a basin: a comparative study of classical AI and deep learning approaches. Acta Geophysica, Accepted.

Fatemeh Avazpour*, Impact of climate change on river flow using a hybrid model of LARS_WG and LSTM: A case study in the Kashkan Basin. Results in Engineering, Accepted.

Fatemeh Avazpour, Numerical modeling of optimal location of drainage and cutoff wall under small concrete dams. Applied Water Science, Accepted.

Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award

Published on by Electrical Engineering

Dr. Harpreet Kaur | Renewable Energy Sources | Best Industrial Research Award

Assistant Professor | Guru Nanak Dev Engineering College | India

Dr. Harpreet Kaur Channi is an accomplished Assistant Professor in the Department of Electrical Engineering at Guru Nanak Dev Engineering College, Ludhiana, with extensive experience in teaching and research across renewable energy systems, smart grids, artificial intelligence, and IoT applications. She holds a Ph.D. in Electrical Engineering from Chandigarh University, specializing in the performance evaluation of hybrid renewable systems for rural electrification, and a Post-Doctoral Fellowship in Electrical Engineering with a focus on PV-Biomass-EV integration from Eudoxia Research University. Over her 17-year career, Dr. Channi has contributed significantly to the fields of solar-biomass hybrid systems, sustainable smart cities, and federated learning in energy and healthcare domains. She has authored more than 115 Scopus-indexed papers, 50 book chapters, and 40 books, and has presented her research in numerous international conferences. Her work has led to 13 published patents and over 50 specialized certifications, including NPTEL and Coursera. A respected academic leader, she has served as NBA and ABET Coordinator, Mentoring Lead, and SC/ST Student Support Coordinator, fostering both academic excellence and inclusivity. Dr. Channi’s professional recognition includes 45 awards for research and teaching excellence, along with memberships in 14 professional institutions. She continues to advance interdisciplinary innovation, integrating renewable technologies with artificial intelligence to support sustainable development and energy resilience. Her research impact is reflected in 1,127 citations, an h-index of 15, and an i10-index of 19.

Profile: Google Scholar

Featured Publications

Harpreet Kaur Channi*, Performance evaluation of hybrid renewable energy systems for rural electrification. Renew. Energy Eng. J., Accepted.

Harpreet Kaur Channi*, Optimization and modeling of PV–biomass–EV integrated systems using artificial intelligence techniques. Int. J. Electr. Power Energy Syst., 2024, 12(3), 102145.

Harpreet Kaur Channi, Smart grid innovation and IoT-based monitoring for sustainable energy infrastructure. Energy Sustain. Dev., 2024, 18(2), 113207.

Mr. Ahmad Alqatamin | Solar Energy | Young Scientist Award

Published on by Electrical Engineering

Mr. Ahmad Alqatamin | Solar Energy | Young Scientist Award

PhD | Xi'an Jiaotong University | China

Dr. Ahmad Hasan Al-Qatamin is a dedicated researcher and PhD candidate in Power Engineering and Engineering Thermophysics at Xi’an Jiaotong University, China, specializing in renewable energy systems and advanced thermal management technologies. He holds dual Master’s degrees in Renewable Energy Engineering from Alhussien Bin Talal University and Mechanical Engineering from Southwest Jiaotong University, along with a Bachelor’s degree in Mechanical Engineering (HVAC) from Xi’an Jiaotong University. His professional experience includes serving as a trainer and teacher at the Ministry of Education in Jordan and as a study and piping engineer in prominent industrial firms, contributing to major energy infrastructure projects. Dr. Al-Qatamin’s research focuses on photovoltaic-thermal (PVT) systems, nanofluid cooling, heat exchangers, and energy optimization through computational and experimental modeling. He has published multiple high-impact papers in leading journals such as Energy, Renewable Energy, and Applied Thermal Engineering, reflecting his contributions to sustainable energy innovation. His commitment to professional excellence is further demonstrated through specialized training programs in HVAC, refrigeration, and vocational education. Recognized for his strong academic performance and research excellence, Dr. Al-Qatamin continues to advance the integration of renewable technologies with enhanced thermal efficiency, making significant contributions to the field of sustainable power engineering. His scholarly impact is evidenced by 138 citations, an h-index of 4, and an i10-index of 3.

Profile: Google Scholar 

Featured Publications

Ahmad Hasan Al-Qatamin*, Computational analysis of photovoltaic thermal performance using Al₂O₃/water and CNT/water nanofluids with perforated V-shape heatsink. Energy, 2025.

Ahmad Hasan Al-Qatamin*, Numerical analysis and design of photovoltaic-thermal (PVT) system with novel water-cooling channel structure integrated with perforated V-shape fins. Renewable Energy, 2025.

Ahmad Hasan Al-Qatamin*, Machine learning prediction of photovoltaic-thermal system with V-shaped perforated fins. Applied Thermal Engineering, 2024.

Ahmad Hasan Al-Qatamin*, Experimental investigation of the photovoltaic thermal system integrated with a ground heat exchanger using volcanic tuff stones. Applied Thermal Engineering, 2024.

Ahmad Hasan Al-Qatamin, Su J., Al-Khashman O.A., A novel heatsink for optimizing photovoltaic cell performance with passive cooling using perforated wave-shaped fins. ASME Journal of Solar Energy Engineering, 2025.

 

Zongyu Gao | Energy Storage Systems | Best Researcher Award

Published on by Electrical Engineering

Zongyu Gao | Energy Storage Systems | Best Researcher Award

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

Featured Publications

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.

Kewei Lin | Renewable Energy Systems | Best Researcher Award

Published on by Electrical Engineering

Kewei Lin | Renewable Energy Systems | Best Researcher Award

Assistant Professor | National Kaohsiung University of Science and Technology | Taiwan

Dr. Ke-Wei Lin is an Assistant Professor at the National Kaohsiung University of Science and Technology, specializing in hydrogen energy systems, fuel cells, and clean transportation technologies. He holds a Ph.D. in System and Naval Mechatronic Engineering, as well as M.S. and B.S. degrees in Naval Architecture and Marine Engineering, all from National Cheng Kung University. Dr. Lin’s professional experience includes serving as Senior Engineer and Project Leader at the Automotive Research & Testing Center, where he led initiatives in hybrid powertrain development, fuel cell integration, and advanced clean engine technologies, and as Project Manager at Formosa Petrochemical Corporation. His research focuses on hydrogen energy, fuel cell and Li-ion battery hybrid systems, thermochemical reforming, exergy and techno-economic analysis, and sustainable mobility, with several publications advancing fuel cell vehicle applications and emission reduction strategies. He has contributed as a committee member for the EPA Sustainable Project Loan Review, demonstrating his leadership in environmental and energy policy initiatives. Dr. Lin has been recognized for his impactful research through professional memberships, technical committee roles, and contributions to collaborative industry-academic projects, reinforcing his commitment to advancing renewable energy and green transportation solutions.

Profile: Scopus

Featured Publications

  1. Lin K.W.*, Development of hybrid PEM fuel cell and Li-ion battery systems for next-generation electric vehicles. Int. J. Hydrogen Energy, 2024, Accepted.

  2. Lin K.W.*, Wu H.T., Chen C.Y., Techno-economic analysis of hydrogen production via thermochemical reforming of bioethanol. Energy Convers. Manag., 2023, 297, 117454.

  3. Lin K.W.*, Yang M.S., Exergy and environmental assessment of HT-PEM fuel cell systems for maritime applications. Appl. Energy, 2023, 341, 121052.

  4. Lin K.W.*, Liu P.J., Integration of catalyst development and reforming processes for high-efficiency hydrogen generation. Fuel Process. Technol., 2022, 234, 107339.

  5. Lin K.W.*, Chen S.H., Clean combustion strategies for biodiesel engines: Experimental and modeling approaches. Renew. Energy, 2021, 180, 890–902.