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)

Hengrui Ma | Renewable Energy Systems | Research Excellence Award

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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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.**

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.

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

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.