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)

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. Jinpeng Guo | Power System Stability | Research Excellence Award

Assoc. Prof. Dr. Jinpeng Guo | Power System Stability | Research Excellence Award

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.

Profiles: Scopus | ORCID

Featured Publications

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.

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Assoc. Prof. Dr. Ehsan Akbari | Power Electronics Converters | Best Researcher Award

Associate Professor | Mazandaran University of Science and Technology | Iran

Dr. Ehsan Akbari is an Associate Professor in the Department of Electrical Engineering at the Mazandaran University of Science and Technology, renowned for his expertise in electrical power engineering, power electronics, and modern energy systems. He holds comprehensive academic qualifications spanning bachelor’s, master’s, and doctoral degrees in Electrical Power Engineering with focused specialization in power quality enhancement, converter control, smart grids, and renewable energy integration. His professional career includes extensive teaching, research leadership, and contributions to major projects involving flexible AC transmission systems, multilevel converters, grid-connected converter control, micro-grid stability, reactive power management, and harmonics mitigation using advanced hybrid filtering techniques. A highly productive scholar, he has authored numerous books along with hundreds of peer-reviewed publications and has secured multiple patents that reflect his commitment to advancing power system reliability and intelligent energy technologies. His academic service includes organizing and contributing to program committees of various scientific conferences, mentoring emerging researchers, and participating in collaborative initiatives that translate theoretical advancements into practical engineering solutions. Dr. Akbari has earned several scientific and technological achievement awards, complemented by professional memberships, editorial engagements, and recognized contributions to the global power engineering community. Citations 1,206 by 962 documents, 58 documents, h-index 20.

Profile: Scopus

Featured Publications

Akbari, E.*, Stationary-frame power regulation for controlling grid-connected three-phase modular multilevel converter with low harmonic under unbalanced voltage. Scientific Reports, 2025.

Akbari, E.*, Flexibility regulation-based economic energy scheduling in multi-microgrids with renewable/non-renewable resource and stationary storage systems considering sustainable computing by hybrid metaheuristic algorithm. Sustainable Computing: Informatics and Systems, 2025.

Akbari, E.*, Capabilities of battery and compressed air storage in the economic energy scheduling and flexibility regulation of multi-microgrids including non-renewable/renewable units. Scientific Reports, 2025.

Akbari, E.*, An optimized ANFIS framework for online voltage stability margin estimation in power systems using the novel Solifugae-inspired optimization algorithm and partial least squares-based dimensionality reduction. Measurement, 2025.

 

Prof. Runwei Mo | Energy Storage Systems (ESS) and Batteries | Editorial Board Member

Prof. Runwei Mo | Energy Storage Systems (ESS) and Batteries | Editorial Board Member

Professor | East China University of Science and Technology | China

Professor Runwei Mo, a distinguished faculty member at East China University of Science and Technology, is an expert in advanced energy materials and intelligent manufacturing whose work spans innovative energy-storage systems, carbon-based material design, and next-generation battery technologies. He holds a PhD with specialization in energy materials engineering and has built a dynamic professional trajectory through academic, research, and collaborative roles across leading global institutions, contributing to major interdisciplinary projects in materials innovation, nanotechnology, and high-performance electrochemical systems. His research contributions encompass the development of novel electrode architectures, advanced graphene-based materials, CO₂ conversion strategies, flexible and high-energy battery systems, and breakthrough approaches to lithium-ion and sodium-ion storage, supported by an extensive publication record that includes high-impact journal papers, book chapters, and multiple authorized patents. He has led and contributed to significant national and international research initiatives, advancing scientific outcomes that have achieved practical application and received broad academic recognition. His professional standing is further reflected in his service as guest editor and editorial board member for several reputable journals, as well as active participation in scholarly communities focused on materials science and energy technologies. His achievements have earned him numerous honors, including multiple fellowships from respected scientific and professional societies, prestigious innovation and scientific contribution awards, and recognition for leadership in energy and environmental research. Through sustained excellence in research, mentorship, and scientific service, Professor Mo continues to advance the global progress of energy materials and sustainable technological development.

Profile: Scopus

Featured Publications

Runwei Mo*, A microstructure-enhanced dual-mode LC sensor with a PSO-BP algorithm for precise detection of temperature and pressure. Adv. Funct. Mater., Accepted.

Runwei Mo*, Autonomous self-healing strategy for flexible fiber lithium-ion batteries with ultra-high mechanical properties and volumetric energy densities. Chem. Eng. J., 154153.

Runwei Mo*, Structure engineering and heteroatom doping-enabled high-energy and fast-charging dual-ion batteries. Chem. Eng. J., 490, 151537.

Runwei Mo*, Covalently bonded MXene@Antimonene heterostructure anode for fast lithium-ion storage. Chem. Eng. J., 485, 149837.

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

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.