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

Jingjing Liang | Renewable Energy Systems | Research Excellence Award

Published on by Electrical Engineering

Dr. Jingjing Liang | Renewable Energy Systems | Research Excellence Award

Engineer | Tsinghua University | China

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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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.

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.