Youcef Himri | Demand Side Management | Research Excellence Award

Dr. Youcef Himri | Demand Side Management | Research Excellence Award

Associate Professor | Université Tahri Mohamed Becha | Algeria

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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Featured Publications

Global review and synthesis of trends in observed terrestrial near-surface wind speeds: Implications for evaporation
TR McVicar, ML Roderick, RJ Donohue, LT Li, TG Van Niel, A Thomas et al. – Journal of Hydrology (1,365 citations)

Techno-economical study of hybrid power system for a remote village in Algeria
Y. Himri, A. B. Stambouli, B. Draoui, S. Himri – Energy (269 citations)

Review and use of the Algerian renewable energy for sustainable development
Y. Himri, A. S. Malik, A. B. Stambouli, S. Himri, B. Draoui – Renewable and Sustainable Energy Reviews (213 citations)

Wind power potential assessment for three locations in Algeria
Y. Himri, S. Rehman, B. Draoui, S. Himri – Renewable and Sustainable Energy Reviews (153 citations)

Potential and economic feasibility of wind energy in south west region of Algeria
Y. Himri, M. Merzouk, N. K. Merzouk, S. Himri – Sustainable Energy Technologies and Assessments (95 citations)

George Korres | Smart Grids and Microgrids | Research Excellence Award

Mr. George Korres | Smart Grids and Microgrids | Research Excellence Award

Professor | National Technical University of Athens | Greece

George N. Korres is a Professor of Electrical and Computer Engineering at the National Technical University of Athens, specializing in power systems engineering, smart grids, and energy system automation. He earned his Diploma and Ph.D. in Electrical and Computer Engineering with a focus on power systems and state estimation, building a strong academic foundation that underpins his long-standing career in both academia and industry. His professional experience spans academic leadership as Director of the Power Division and Director of the Energy Systems Laboratory, along with significant involvement in large-scale national and international research and development projects related to energy management systems, microgrids, and grid modernization. His scholarly impact is demonstrated by 5,621 citations, an h-index of 42, and an i10-index of 75.

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Featured Publications

Taxonomy of PMU Placement Methodologies
N. M. Manousakis, G. N. Korres, P. S. Georgilakis – IEEE Transactions on Power Systems (464 citations)

A Distributed Multiarea State Estimation
G. N. Korres – IEEE Transactions on Power Systems (288 citations)

State Estimation and Bad Data Processing for Systems Including PMU and SCADA Measurements
G. N. Korres, N. M. Manousakis – Electric Power Systems Research (250 citations)

Power System Real-Time Monitoring Using PMU-Based Robust State Estimation
J. Zhao et al., G. N. Korres – IEEE Transactions on Smart Grid (247 citations)

Hardware-in-the-Loop Design and Optimal Setting of Adaptive Protection Schemes for Distribution Systems with Distributed Generation
V. A. Papaspiliotopoulos, G. N. Korres et al. – IEEE Transactions on Power Delivery (234 citations)

Yaser Damchi | Smart Grids and Microgrids | Excellence in Research Award

Dr. Yaser Damchi | Smart Grids and Microgrids | Excellence in Research Award

Associate Professor | Shahrood University of Technology | Iran

Yaser Damchi is an Associate Professor in the Faculty of Electrical Engineering at Shahrood University of Technology, specializing in electrical power engineering with a strong focus on power system protection and reliability. He earned his doctoral, master’s, and bachelor’s degrees in electrical power engineering with advanced specialization in protection systems, relay coordination, and transient analysis. His professional experience includes academic leadership as Head of the Power Department, establishment of a protection and relays digital laboratory, and management and participation in numerous industry-linked power system projects addressing protection design, reliability assessment, and renewable energy integration.  The candidate’s scholarly impact is evidenced by 672 citations, an h-index of 14, and an i10-index of 24.

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Featured Publications

MILP approach for optimal coordination of directional overcurrent relays in interconnected power systems
Y. Damchi, M. Dolatabadi, H.R. Mashhadi, J. Sadeh – Electric Power Systems Research

Optimal coordination of directional overcurrent relays in a microgrid system using a hybrid particle swarm optimization
Y. Damchi, H.R. Mashhadi, J. Sadeh, M. Bashir – International Conference on Advanced Power System Automation

Optimal coordination of distance and overcurrent relays considering a non-standard tripping characteristic for distance relays
Y. Damchi, J. Sadeh, H.R. Mashhadi – IET Generation, Transmission & Distribution

Reliability-centred maintenance for circuit breakers in transmission networks
M. Abbasghorbani, H.R. Mashhadi, Y. Damchi – IET Generation, Transmission & Distribution

Qingguo Lü | Electrical Engineering  | Research Excellence Award

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

Bo Wang | Smart Grids and Microgrids | Research Excellence Award

Prof. Bo Wang | Smart Grids and Microgrids | Research Excellence Award

Professor | Wuhan University | China

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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Featured Publications

Improving interdependent networks robustness by adding connectivity links

– Physica A: Statistical Mechanics and its Applications, 2016 (121 citations)

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

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. Amjed Albordhi | Renewable Energy Systems | Editorial Board Member

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

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

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.

Assoc. Prof. Dr. Saidjon Tavarov | Demand Side Management & Energy Efficiency | Editorial Board Member

Assoc. Prof. Dr. Saidjon Tavarov | Demand Side Management & Energy Efficiency | Editorial Board Member

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

Featured Publications

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.