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Dr. Abderrahim Yousfi is a Professor of Electronics specializing in micro-electronics at the University of Mohamed El Bachir El Ibrahimi, Algeria, within the Institute of Electronics and Telecommunications, where he holds senior academic and research leadership responsibilities. He earned bachelor’s, engineering, master’s, and doctoral degrees in electronics and micro-electronics, with advanced specialization in instrumentation and academic qualification accreditation. His professional experience includes postgraduate teaching and supervision, leadership of academic departments and research teams, coordination of scientific programs, and active involvement in international collaborations and conferences. His research focuses on perovskite solar cells, semiconductor device modeling, photovoltaic and optoelectronic materials, thin-film electronics, nanoelectronics, and numerical simulation, resulting in 35 scholarly publications with 352 citations and an h-index of 10. His academic profile is further strengthened by recognitions for scholarly contributions, extensive peer-review and editorial service for high-impact journals, and active membership in international scientific communities.
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Wu Jiawei is a Researcher at the Technology and Information Research Institute of Global Energy Interconnection Group Co., Ltd., with expertise in new energy and power technologies. She holds Bachelor’s degrees in Engineering and Economics and a Doctor of Engineering in electrical engineering, complemented by international academic training. Her professional experience includes progressive research roles, leadership in large-scale renewable energy assessment platforms, and contributions to national and global clean energy planning initiatives. Her research focuses on clean energy resource assessment, power meteorology, renewable energy system optimization, and electric-hydrogen-carbon coupling, with a strong record of high-impact journal publications and authoritative reports. Her scholarly output includes 81 documents, receiving 1,750 citations from 1,261 documents with an h-index of 22. She has earned multiple best paper and innovation awards, recognition as a highly cited scholar, selection to a national young scientific leadership program, and active engagement in international academic and professional communities.
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Dr. Youcef Himri is a Senior Researcher and academic affiliated with Université Tahri Mohamed Béchar and a Safety Engineer at SONELGAZ, specializing in renewable energy systems, energy transition, and smart grids. He holds engineering, magister, doctoral, and habilitation degrees in electrotechnics, energetic physics, and mechanical engineering, with advanced expertise in energy optimization and sustainability. His professional experience spans academic teaching, industrial safety leadership, renewable energy feasibility studies, and national energy infrastructure projects, alongside international research collaborations. Dr. Himri’s research focuses on wind and solar energy assessment, biomass resources, hydrogen energy, smart grid standards, and energy policy, with extensive publications in high-impact journals and reference books. His scholarly impact is reflected in 2,708 citations, an h-index of 14, and an i10-index of 17.
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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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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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Associate Professor | Hohai University | China
Dr. Jinpeng Guo, an Associate Professor at the School of Electrical and Power Engineering at Hohai University, is a specialist in new energy power systems with expertise in renewable energy grid integration, stability analysis, and advanced control strategies for converter-dominated networks. He holds a doctoral degree in Electrical and Computer Engineering from McGill University, a graduate degree in Electrical Engineering from Southeast University, and a bachelor’s degree in Electrical Engineering and Automation from Chongqing University, further enriched by an academic exchange in electrical engineering at Tsinghua University. His professional experience includes leading and contributing to major research initiatives on frequency characteristics, rotor-angle stability, offshore wind power integration through VSC-HVDC systems, synchronous condenser optimization, and wide-area damping control, serving as both project leader and technical director in national and industry-supported programs. Dr. Guo’s research focuses on data-driven modeling, inertia estimation, dynamic stability enhancement, and coordinated active–reactive power control, supported by publications in reputable journals and international conferences. His scholarly contributions advance power system resilience, renewable energy operational security, and the development of intelligent control methods for modern electric grids. He has been recognized through competitive research funding and active participation in collaborative international projects, professional networks, and academic communities. His academic profile includes 3 citations, 8 documents, and an h-index of 1.
Guo, Jinpeng*, Quantitative evaluation and sensitivity analysis of carbon emission reduction costs based on optimal scheduling of electric-thermal integrated energy systems. Electric Power Systems Research, 2026, Article in press.
Guo, Jinpeng*, Improved vector current control for the VSC-HVDC converter connected to a very weak AC grid. IEEE Transactions on Circuits and Systems I: Regular Papers.
Guo, Jinpeng*, Data-driven methods in modern power system stability and security. Smart Cyber-Physical Power Systems.
Administration | Northwestern Polytechnical University | China
Kamal Deen Moro is a Graduate Research Assistant at Northwestern Polytechnical University, specializing in applied economics with core expertise in development economics, energy and environmental economics, and financial economics. He holds an MSc in Applied Economics with advanced training in econometrics, statistical modeling, and industrial economics, as well as a Bachelor of Commerce in Accounting with strong foundations in microeconomics, quantitative methods, and financial reporting. His professional experience includes supporting research design, conducting literature reviews, analyzing complex datasets, contributing to academic publications, developing grant proposals, and participating in interdisciplinary international projects, complemented by earlier roles in internal auditing, financial administration, and institutional service. His research focuses on renewable energy transitions, environmental sustainability, industrialization dynamics, policy uncertainty, and economic growth, resulting in multiple peer-reviewed publications that examine green technology deployment, environmental Kuznets relationships, hydropower impacts, and cleaner energy transitions. He has led and contributed to student organizations, coordinated projects, and engaged in community education initiatives. Kamal holds professional certifications in data analysis, visualization, and advanced STATA, with additional proficiency in R, EViews, Excel, and Python. His achievements include academic honors, recognition for outstanding participation in international academic programs, and excellence in mathematics. He is also an active member of the Institute of Chartered Accountants Ghana, strengthening his professional engagement. His scholarly contributions are reflected in 21 citations, 7 documents, and an h-index of 2, underscoring his growing impact in the fields of applied and environmental economics.
Profile: Scopus
Moro K.D.*, Xi J., Fumey M.P., Awuye S.K., Sackitey G.M. Industrialization, energy demand and environmental pollution nexus in MINT economies: Does cleaner energy transition and environmental technology play a mitigating role? J. Environ. Manage., 2025, 376, 124451.
Moro K.D.* Resource dependencies, market concentration, trade barriers and green technology deployment: A comparative analysis of solar, wind, and hydropower installation patterns. Renew. Energy, 2025.
Moro K.D.*, Xi J., Fumey M.P., Yeboah S.D., Sackitey G.M. The role of clean energy in enhancing the environmental Kuznets Curve: Empirical evidence from Ghana’s hydropower industry. Environ. Dev. Sustain., 2025, 1–32.
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
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.
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.
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
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.