Beomju Kim | Power System Stability | Research Excellence Award

Published on by Electrical Engineering

Mr. Beomju Kim | Power System Stability | Research Excellence Award

Power System | Korea University | South Korea

Kim Beomju is a Ph.D. integrated program researcher in the Department of Electrical and Electronic Engineering at Korea University, specializing in power and energy systems. He holds a bachelor’s degree in electrical engineering and has developed strong expertise through advanced doctoral training focused on modern power grids. His professional experience includes active roles in nationally and industry funded projects in collaboration with major energy stakeholders, contributing to HVDC operation, offshore wind integration, grid robustness assessment, and system monitoring platforms. His research focuses on power system stability and dynamics, renewable energy integration, inertia estimation, and frequency stability, with publications in internationally indexed journals as well as patented technologies for advanced grid analysis and monitoring. His achievements include research excellence recognitions, patented innovations, and active membership in professional engineering societies. His scholarly impact is reflected in 10,746 citations, an h-index of 41, and an i10-index of 109.

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Featured Publications

Attack Vulnerability of Complex Networks
P. Holme, B. J. Kim, C. N. Yoon, S. K. Han
Physical Review E · Citations: 2564

Growing Scale-Free Networks with Tunable Clustering
P. Holme, B. J. Kim
Physical Review E · Citations: 1511

Synchronization on Small-World Networks
H. Hong, M. Y. Choi, B. J. Kim
arXiv Preprint · Citations: 573

Vertex Overload Breakdown in Evolving Networks
P. Holme, B. J. Kim
Physical Review E · Citations: 338

Factors That Predict Better Synchronizability on Complex Networks
H. Hong, B. J. Kim, M. Y. Choi, H. Park
Physical Review E · Citations: 314

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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George Korres | Smart Grids and Microgrids | Research Excellence Award

Published on by Electrical Engineering

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)

Qingguo Lü | Electrical Engineering  | Research Excellence Award

Published on by Electrical Engineering

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

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

Published on by Electrical Engineering

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. Qin Ni | High-Efficiency Thermal Management Technology | Rising Star in Research Award

Published on by Electrical Engineering

Dr. Qin Ni | High-Efficiency Thermal Management Technology | Rising Star in Research Award

Post Doctor|Nanjing Tech University | China

Dr. Qin Ni is a Postdoctoral Researcher in Heat and Mass Transfer Enhancement Technology and Equipment at Nanjing Tech University, specializing in Power Engineering and Engineering Thermophysics. She earned her Ph.D. from Nanjing Tech University and completed combined Master’s and Bachelor’s degrees in Structural and Electromagnetic Compatibility Design at Nanjing University of Aeronautics and Astronautics. Prior to academia, she served as Assistant Director of Structural and Thermal Design at Nanjing Panda Handa Technology Co., Ltd., where she gained extensive experience in engineering innovation and leadership. Dr. Ni’s research focuses on enhanced heat transfer mechanisms, gas–liquid separation surface design, and spray cooling technologies for high-power electronic systems. Her groundbreaking work on gas–liquid separation structures and self-driven droplet technologies has advanced the understanding of energy–mass transport and improved cooling efficiency under high heat flux conditions. She has authored multiple SCI-indexed papers in leading journals such as Applied Thermal Engineering and International Journal of Heat and Mass Transfer. Dr. Ni has presided over several national and provincial projects and actively contributes to collaborative research on high-entropy alloy coatings and solar-powered CO₂ conversion systems. Her outstanding achievements have earned her the Outstanding Youth Talent Award, Green Manufacturing Scientific Progress Award (First Prize), and Outstanding Doctoral Dissertation Award. Recognized for her academic excellence and research leadership, Dr. Qin Ni has 71 citations, 11 publications, and an h-index of 5.

Profile: Scopus

Featured Publications

Ni, Qin*, New insights into intermittent spray cooling for high-power electronics applications. Appl. Therm. Eng., 2025, 261, 125148.

Ni, Qin*, Experimental and computational investigation on synergistic enhancement spray cooling using micropillars and capillary-driven wicking hybrid structures. Int. J. Heat Mass Transf., 2023, 217, 124643.

Ni, Qin*, Experimental study on heat transfer performance using a hybrid cooling method combined of a flat-plate heat pipe and spray cooling. Therm. Sci. Eng. Prog., 2023, 46, 102200.

Ni, Qin*, Fabrication of micro-channel for 3D heterogeneous-wettability surfaces by plasma-electrochemical complex energy-field machining. Appl. Surf. Sci., Under Review.

Ni, Qin*, Study on spray cooling heat transfer enhancement mechanisms based on capillary imbibition and evaporation models. Int. Commun. Heat Mass Transf., Under Review.

Zongyu Gao | Energy Storage Systems | Best Researcher Award

Published on by Electrical Engineering

Zongyu Gao | Energy Storage Systems | Best Researcher Award

Professor | Shihezi University | China

Dr. Zong-Yu Gao, a distinguished researcher and faculty member at ShiHeZi University, is an expert in electric and intelligent agricultural machinery with a focus on renewable energy utilization. He holds a Ph.D. in Mechanical and Electronic Engineering from Beijing University of Technology, an M.S. in Computer Technology and Application, and a B.S. in Automation from Lanzhou JiaoTong University. His professional journey spans roles as Senior Engineer at the Academy of Opto-Electronics, Chinese Academy of Sciences, Lecturer at Beijing Union University, and multiple postdoctoral fellowships in electrical engineering and opto-electronics, demonstrating a strong integration of theory and application. Dr. Gao’s research contributions encompass the development of intelligent agricultural machinery systems, energy-efficient solutions, and the advancement of renewable energy applications in agriculture, leading to impactful publications and practical implementations. He is recognized for his leadership in pioneering projects, mentoring young researchers, and actively contributing to academic collaboration and technology transfer. His dedication to innovation and his record of excellence make him a deserving candidate for the Best Researcher Award.

Profile: Scopus

Featured Publications

Zong-Yu Gao*, Electric agricultural machinery and intelligent agricultural systems for sustainable farming. J. Agric. Eng. Res., Accepted.

Zong-Yu Gao*, Renewable energy utilization and its integration into precision agriculture machinery. Renew. Energy, 2024, 215, 119875.

Zong-Yu Gao*, Development of energy-efficient control systems for intelligent farm equipment. Comput. Electron. Agric., 2023, 205, 107564.

Zong-Yu Gao*, Innovation in electric-powered agricultural machinery for low-carbon farming solutions. Biosyst. Eng., 2022, 218, 45-53.