Sushil Kumar | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Assist. Prof. Dr. Sushil Kumar | Renewable Energy Systems | Research Excellence Award

Assistant Professor | National Institute of Technology Jamshedpur | India

Sushil Kumar is a Research Scholar in the Department of Humanities and Social Sciences at Motilal Nehru National Institute of Technology, Allahabad, with expertise in Management and Human Resource Management. He has contributed to empirical and interdisciplinary research that bridges human resource practices with organizational well-being and performance. His achievements include prestigious national fellowships awarded by statutory bodies, participation in advanced research methodology programs, and engagement in academic service roles, underscoring his commitment to scholarly excellence, capacity building, and the advancement of management research, with a scholarly impact reflected by 21 citations, an h-index of 2, and an i10-index of 1.

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Featured Publications

Zhengying Cai | Electric Vehicles | Best Researcher Award

Published on by Electrical Engineering

Prof. Zhengying Cai | Electric Vehicles | Best Researcher Award

Prof | China Three Gorges University  | China

Zhengying Cai is a Professor in the College of Computer and Information Technology at China Three Gorges University, specializing in artificial intelligence and quantum computing, with a strong academic and research profile that underpins his nomination for this award. He earned his bachelor’s, master’s, and doctoral degrees from Huazhong University of Science and Technology with advanced specialization in computer and information technologies, establishing a solid foundation for interdisciplinary research. His professional experience encompasses academic leadership, supervision of graduate researchers, and active involvement in high-impact research projects, alongside contributions to curriculum development and institutional research advancement. His research focuses on artificial intelligence methodologies, quantum computing frameworks, and their applications, resulting in a substantial body of scholarly output, including 38 research documents that have received 224 citations and reflect an h-index of 9, demonstrating both productivity and sustained academic impact.

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Featured Publications

An Artificial Plant Community Algorithm for Collision-Free Multi-Robot Aggregation
Z. Cai, Q. Yu, Z. Lu, Z. Liu, G. Gong – Applied Sciences (Switzerland)

Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
S. Eggen, T.J. Espe, K. Grude, M. Risstad, R. Sandberg – Journal of Economic Surveys

Forecasting Implied Volatilities of Currency Options with Machine Learning Techniques and Econometric Models
A. Olsen, G. Djupskås, P.E. de Lange, M. Risstad – International Journal of Data Science and Analytics

Hengrui Ma | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Prof. Hengrui Ma | Renewable Energy Systems | Research Excellence Award

Associate Professor | Wuhan University of Technology | China

Prof. Hengrui Ma is an Associate Professor at Wuhan University of Technology and a leading researcher in renewable energy systems, new power systems, and integrated energy systems. He received his Ph.D. from Wuhan University and completed his bachelor’s and master’s degrees in electrical engineering at North China Electric Power University, with a strong specialization in power and energy systems. His professional experience spans academic teaching, advanced research, and technical leadership, including roles as sub-task leader and project leader in major national and industry-funded smart grid and energy system projects. Prof. Ma’s research focuses on renewable energy integration, smart grids, and energy system regulation, resulting in more than 80 peer-reviewed publications, the majority indexed in SCI/EI, high citation impact across major databases, multiple highly cited and influential papers, and substantial contributions to theory and practice in modern power systems.  His scholarly impact is evidenced by 1,561 citations, an h-index of 20, and an i10-index of 34, reflecting the quality, consistency, and international visibility of his research contributions.

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Featured Publications

Dr. Amjed Albordhi | Renewable Energy Systems | Editorial Board Member

Published on by Electrical Engineering

Dr. Amjed Albordhi | Renewable Energy Systems | Editorial Board Member

Nassrayhi Power | Southern Technical University | Iraq

Amjed Alwan Kadhim is an electrical engineering specialist and doctoral researcher at the University of Tabriz, recognized for his expertise in electric machine design and power electronics. He holds B.Sc. and M.Sc. degrees in Electrical Engineering from the University of Technology–Baghdad, where he developed strong foundations in machine design, power electronic applications, and system analysis. His professional experience includes contributing to research and development projects focused on high-efficiency electrical machines, advanced converter systems, and performance optimization across modern power applications. His research centers on electric machine modeling, electromagnetic design methodologies, and innovative power electronics integration, supported by growing scholarly contributions and technical publications. He also engages in collaborative academic activities, professional memberships, and technical initiatives that demonstrate his commitment to advancing innovation, maintaining research integrity, and supporting the broader engineering community.

Profile: ORCID

Featured Publications

Amjed Alwan Kadhim, Performance study of low-speed wind energy harvesting by micro wind turbine system. Energy Reports, 2025, DOI: 10.1016/j.egyr.2025.02.046.

Amjed Alwan Kadhim, Thermal performance study using parabolic collector and cavity receiver with nano-storage materials for solar drying of apples in Baghdad, Iraq. Metallurgical and Materials Engineering, 2025, DOI: 10.63278/mme.vi.1604.

Amjed Alwan Kadhim, Coordination of hybrid vehicles strategies to improve fuel consumption and reduce economic cost. Int. J. Power Electron. Drive Syst., 2024, 15(2), 725–732, DOI: 10.11591/ijpeds.v15.i2.pp725-732.

Amjed Kadhim Albordi, Cogging force reduction in PMLSMs using segmented magnets. J. Oper. Autom. Power Eng., 2024.

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. Liu Bai | Renewable Energy Systems | Editorial Board Member

Published on by Electrical Engineering

Dr. Liu Bai | Renewable Energy Systems | Editorial Board Member

Postdoctoral Fellow | Harbin Institute of Technology | China

Liu Bai is an Assistant Researcher and Postdoctoral Fellow at the Harbin Institute of Technology, specializing in predictability, energy forecasting, solar forecasting, and structural failure prediction, where he contributes to advancing energy meteorology and data-driven engineering analysis. He holds a Ph.D. in Structural Engineering from the Harbin Institute of Technology and a Bachelor’s degree in Civil Engineering from Northeast Agricultural University, with academic training that supports his interdisciplinary research spanning renewable energy systems and structural behavior modeling. He also serves as a youth editor for multiple scientific journals, reviews manuscripts for leading international publications in energy and computational fields, and is an active member of professional societies, including roles within the Chinese Particle Society and the Aerosol Professional Committee, demonstrating recognized expertise and service within the research community.

Reviewer (Judge) Summary

Number of Acceptance Requests: 2 (1813 & 1851)

Total Approvals by Judge/Reviewer: 1 (1813)

Not Responded by Judge/Reviewer: 1 (1851)

Not Approved by Judge/Reviewer: 0

Profile: Scopus

Featured Publications

Liu Bai*, Predictability and forecast skill of solar irradiance across large-scale regions using advanced statistical and machine-learning frameworks. Renewable & Sustainable Energy Reviews, Accepted.

Liu Bai*, Deep-learning–enhanced solar irradiance prediction and uncertainty quantification based on multi-task and physically constrained modeling approaches. Solar Energy, Accepted.

Liu Bai, Data-driven structural performance assessment and failure prediction of reinforced concrete and masonry systems under complex loading conditions. Structural Concrete, Accepted.

Assist. Prof. Dr. Taame Abraha Berhe | Renewable Energy Systems | Editorial Board Member

Published on by Electrical Engineering

Assist. Prof. Dr. Taame Abraha Berhe | Renewable Energy Systems | Editorial Board Member

Postdoctoral Fellow | Adigrat university | Ethiopia

Taame Abraha Berhe is a Postdoctoral Fellow in Applied and Theoretical Chemistry at a leading institution, specializing in electrochemistry, physical chemistry, materials and energy chemistry, photochemistry, nanotechnology, and advanced characterization techniques. He holds a PhD in Applied Science and Technology, an MSc in Physical Chemistry, and a BEd in Chemistry, building a strong academic foundation that supports his interdisciplinary scientific work. His professional experience includes serving as Assistant Professor, Department Head, and College Dean, alongside extensive teaching and research roles in chemistry and chemical engineering. His research focuses on halide perovskites, sustainable energy materials, surface modification technologies, and nanostructured systems, supported by numerous publications in reputed journals and collaborative projects involving synchrotron radiation facilities. He has contributed significantly to the understanding of material stability, catalytic processes, and energy‐related nanomaterials. Dr. Berhe has been recognized with multiple reviewer excellence awards and has served as reviewer for several international journals, including those under the Royal Society of Chemistry. He also holds editorial board positions in chemistry and applied science journals and actively participates in international scientific committees across major conferences. His professional memberships include the Royal Society of Chemistry, American Physical Society, African Materials Research Society, and multiple global scientific networks, reflecting his commitment to advancing materials science and fostering international research collaboration.

Profile: ORCID

Featured Publications

Taame Abraha Berhe*, Nano-engineering halide perovskites for energy harvesting, nano-plasmon sensing, and photoflexoelectric applications. Energy Adv., Accepted.

Taame Abraha Berhe*, Croton macrostachyus leaf-mediated biosynthesis of copper oxide nanoparticles for catalytic reduction of organic dyes. Mater. Res. Express., Accepted.

Taame Abraha Berhe*, Multifunctional properties of halide perovskites: coordination engineering, electronic interactions, and advanced energy applications. Inorganics., Accepted.

 

Prof. Runwei Mo | Energy Storage Systems (ESS) and Batteries | Editorial Board Member

Published on by Electrical Engineering

Prof. Runwei Mo | Energy Storage Systems (ESS) and Batteries | Editorial Board Member

Professor | East China University of Science and Technology | China

Professor Runwei Mo, a distinguished faculty member at East China University of Science and Technology, is an expert in advanced energy materials and intelligent manufacturing whose work spans innovative energy-storage systems, carbon-based material design, and next-generation battery technologies. He holds a PhD with specialization in energy materials engineering and has built a dynamic professional trajectory through academic, research, and collaborative roles across leading global institutions, contributing to major interdisciplinary projects in materials innovation, nanotechnology, and high-performance electrochemical systems. His research contributions encompass the development of novel electrode architectures, advanced graphene-based materials, CO₂ conversion strategies, flexible and high-energy battery systems, and breakthrough approaches to lithium-ion and sodium-ion storage, supported by an extensive publication record that includes high-impact journal papers, book chapters, and multiple authorized patents. He has led and contributed to significant national and international research initiatives, advancing scientific outcomes that have achieved practical application and received broad academic recognition. His professional standing is further reflected in his service as guest editor and editorial board member for several reputable journals, as well as active participation in scholarly communities focused on materials science and energy technologies. His achievements have earned him numerous honors, including multiple fellowships from respected scientific and professional societies, prestigious innovation and scientific contribution awards, and recognition for leadership in energy and environmental research. Through sustained excellence in research, mentorship, and scientific service, Professor Mo continues to advance the global progress of energy materials and sustainable technological development.

Profile: Scopus

Featured Publications

Runwei Mo*, A microstructure-enhanced dual-mode LC sensor with a PSO-BP algorithm for precise detection of temperature and pressure. Adv. Funct. Mater., Accepted.

Runwei Mo*, Autonomous self-healing strategy for flexible fiber lithium-ion batteries with ultra-high mechanical properties and volumetric energy densities. Chem. Eng. J., 154153.

Runwei Mo*, Structure engineering and heteroatom doping-enabled high-energy and fast-charging dual-ion batteries. Chem. Eng. J., 490, 151537.

Runwei Mo*, Covalently bonded MXene@Antimonene heterostructure anode for fast lithium-ion storage. Chem. Eng. J., 485, 149837.

Dr. Habib Ullah | Material and Enviroemntal Chemistry | Best Researcher Award

Published on by Electrical Engineering

Dr. Habib Ullah | Material and Enviroemntal Chemistry | Best Researcher Award

Research Profesor | Chungnam National University | South Korea

Dr. Habib Ullah is a Research Professor at the Research Institute of Nano Science and Engineering, Department of Materials Science and Engineering, Chungnam National University, South Korea, specializing in inorganic and materials chemistry. He earned his Ph.D. in Materials Science from Wuhan University of Technology, China, an M.Phil. in Chemistry from Islamia College University, Peshawar, and both M.Sc. and B.Sc. degrees in Chemistry from Kohat University of Science and Technology, Pakistan. His professional experience includes serving as Assistant Professor of Chemistry at the University of Sialkot, where he taught undergraduate and graduate courses, supervised numerous master’s students, and contributed to curriculum design and research leadership. Dr. Ullah’s research focuses on the synthesis and application of covalent and metal–organic frameworks, single-atom catalysts, and hybrid nanomaterials for CO₂ capture, conversion, hydrogenation, and renewable energy catalysis. He has authored more than twenty peer-reviewed publications in high-impact journals and reviewed multiple manuscripts in leading journals such as the Journal of CO₂ Utilization and Fuel. His awards include a Distinguished Publication Award from Wuhan University of Technology and a prestigious Chinese Government Scholarship (CSC Fellowship). He serves on the editorial board of the Journal of Chemistry and Environment and is a senior member of the International Association for Carbon Capture. Dr. Ullah’s academic contributions and leadership exemplify excellence in sustainable catalysis and advanced materials research.

Profile: ORCID

Featured Publications

Habib Ullah*, Solvent-free ambient pressure CO₂ cycloaddition catalyzed by cobalt-impregnated 2D-nanofibrous COFs. ChemSusChem, 2024, Accepted.

Habib Ullah*, Mechanistic insight into bifunctional thermocatalytic CO₂ hydrogenation by oxide-supported palladium. Chem. Eng. J., 2024, 489, 146542.

Habib Ullah, Ambient conversion of CO₂ and epoxides to cyclic carbonates using 3D amide-functionalized MOFs. Catal. Sci. Technol., 2024, 14(3), 567–580.

Habib Ullah, Formation of value-added cyclic carbonates by coupling of epoxides and CO₂ using ruthenium pincer hydrazone complexes under atmospheric pressure. ACS Energy Fuels, 2023, 37(8), 9564–9578.

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.