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)

Yijie Shen | Structured Light | Research Excellence Award

Published on by Electrical Engineering

Prof. Yijie Shen | Structured Light | Research Excellence Award

Assistant Professor | Nanyang Technological University | Singapore

Yijie Shen is a Nanyang Assistant Professor at Nanyang Technological University, Singapore, with joint appointments in the School of Physical and Mathematical Sciences and the School of Electrical and Electronic Engineering, and is an internationally recognized expert in photonics and optical engineering. He received a doctoral degree in optical engineering from Tsinghua University and a bachelor’s degree in mechanical engineering and automation from South China University of Technology. His professional experience spans academic leadership, competitive international research projects, and interdisciplinary collaboration, including prior service as a Marie-Curie Senior Research Fellow and active leadership in high-impact research initiatives. The candidate has achieved 7,691 citations with an h-index of 39 and an i10-index of 76, reflecting a strong and sustained scholarly impact.

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Featured Publications

Optical vortices 30 years on: OAM manipulation from topological charge to multiple singularities
Y. Shen, X. Wang, Z. Xie, C. Min, X. Fu, Q. Liu, M. Gong, X. Yuan – Light: Science & Applications · Cited by 2376

Towards higher-dimensional structured light
C. He, Y. Shen, A. Forbes – Light: Science & Applications · Cited by 571

Optical skyrmions and other topological quasiparticles of light
Y. Shen, Q. Zhang, P. Shi, L. Du, X. Yuan, A. V. Zayats – Nature Photonics · Cited by 362

Supertoroidal light pulses as electromagnetic skyrmions propagating in free space
Y. Shen, Y. Hou, N. Papasimakis, N. I. Zheludev – Nature Communications · Cited by 229

Generation of optical skyrmions with tunable topological textures
Y. Shen, E. C. Martínez, C. Rosales-Guzmán – ACS Photonics · Cited by 223

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

Published on by Electrical Engineering

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

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

Ms. Xiaohua Li | Machine Learning | Excellence in Research Award

Published on by Electrical Engineering

Ms. Xiaohua Li | Machine Learning | Excellence in Research Award

Associate Professor | Shanghai Electric Power University | China

Dr. Li Xiaohua, a distinguished Professor at Sichuan University and leading expert in materials science and structural engineering, is renowned for advancing high-performance composite materials and sustainable structural systems. She holds advanced degrees in materials engineering with specialization in composite behavior and structural performance, complemented by extensive experience in academic leadership, project supervision, and collaborative research initiatives. Her professional portfolio includes directing major institutional projects, mentoring interdisciplinary teams, and contributing to engineering innovations that strengthen the reliability and resilience of modern structures. Dr. Li’s research focuses on composite structures, fire-resistant materials, mechanical behavior, and performance optimization, supported by 297 citations, 34 scholarly documents, and an h-index of 11, reflecting her growing global impact. She has authored influential publications, contributed to high-level research panels, and advanced knowledge dissemination through editorial responsibilities and membership in professional engineering societies. Recognized for excellence in research, innovation, and service, she also holds relevant professional certifications that underscore her commitment to scientific rigor and continued advancement in the engineering sciences.

Profile: Scopus

Featured Publications

Li Xiaohua*, Probabilistic forecasting of coal consumption for power plants under deep peak shaving conditions using Informer with DDPM-based uncertainty modeling. Int. J. Electr. Power Energy Syst., 2025.

Li Xiaohua*, Electromagnetic vibration characteristics of permanent magnet synchronous motors with segmented grain-oriented electrical steel teeth–yoke.

Li Xiaohua, Research on core loss prediction of low-frequency transformer based on Grey Wolf optimisation algorithm optimised Back Propagation neural network. IET Electr. Power Appl., 2025.

 










































































 




	


	

	






	
	

		


Dr. Angel Sapena Bano | Modelling Machines for Optimization | Research Excellence Award
			

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Dr. Angel Sapena Bano | Modelling Machines for Optimization | Research Excellence Award


Associate Professor | Universitat Politecnica de Valencia | Spain
















Ángel Sapena Bañó, Profesor Titular at the Universitat Politècnica de València, is a specialist in electrical engineering with expertise in electrical machines, diagnostic methods, numerical modelling, and condition monitoring. He holds degrees in Industrial Engineering, Energy Technology for Sustainable Development, and Secondary Education, complemented by a doctorate in Industrial Engineering focused on advanced diagnostic techniques for electrical machines. His professional trajectory includes roles as Lecturer, Researcher, and Technical Specialist, contributing to major academic initiatives, laboratory modernization, and collaborative research activities. He has participated in multiple competitive and industrial R&D projects, developed fault-diagnosis tools for induction machines and wind-energy systems, and strengthened international cooperation through research stays and Erasmus teaching engagements. His research spans analytical and hybrid modelling, finite-element methods, machine-learning-based diagnostics, and real-time simulation, reflected in numerous high-impact journal articles, conference contributions, book chapters, and patented inventions. He has led and co-led research outputs as first and corresponding author, supervised a wide range of graduate projects, and contributed to organizing scientific conferences and special issues. His distinctions include recognized research merits, invited reviewer roles in indexed journals, participation in prominent research groups, and involvement in impactful national and international scientific initiatives. His scholarly record includes 1,035 citations, 60 documents, and an h-index of 17.


Profiles: Scopus | ORCID


Featured Publications


Ángel Sapena Bañó*, Model-based diagnostic techniques for induction machines under transient operational conditions. Int. J. Electr. Power Energy Syst., Accepted.


Ángel Sapena Bañó*, Hybrid FEM–analytical modelling framework for efficient fault detection in eccentric induction motors. Sensors, 2025, 25, 1–28.


Ángel Sapena Bañó, Deep learning–enhanced condition monitoring strategies for electrical machines operating in variable regimes. Mathematics and Computers in Simulation, 2025, 1–28.


























	


	

	






	
	

		


Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award
			

				Published on  by Electrical Engineering			

		
	


	

		



	
Dr. Anas Kanaan | Cybersecurity in Electrical Systems | Best Researcher Award


Assistant Professor | University of Petra | Jordan
















Dr. Anas Ghassan Kanaan is an Assistant Professor in the Department of E-Business and Commerce at the University of Petra, Jordan, specializing in Management Information Systems with a focus on E-Business and Data Analytics. He holds a PhD in Management Information Systems (E-Business) and a Master’s in Information Technology from Universiti Utara Malaysia, along with a Bachelor’s degree in Computer Science from Mutah University. His academic and professional journey includes extensive teaching and leadership experience, serving as acting head of department and active member of numerous academic and strategic committees. Dr. Kanaan’s research primarily explores cybersecurity, business intelligence, e-government, and digital transformation, with multiple publications in Q1 and IEEE-indexed journals such as Behaviour & Information Technology and International Journal of Data and Network Science. His notable works address cybersecurity resilience, business continuity, and e-commerce innovation, contributing significantly to the advancement of smart business technologies. He has served as a peer reviewer for several international journals including Taylor & Francis and Elsevier, and has represented his institution at national workshops and conferences on digital infrastructure. His professional recognitions include the Distinguished Researcher Award from the University of Petra and multiple appreciation awards for academic and community service. Additionally, Dr. Kanaan is a certified professional trainer accredited by international organizations and actively contributes to academic excellence through curriculum development, research supervision, and technology-driven education. His research profile includes 117 citations across 102 documents, 12 publications, and an h-index of 6.


Profile: Google Scholar | ORCID | Scopus


Featured Publications












Anas Ghassan Kanaan*, Towards Business Continuity Management in the Saudi Healthcare Sector Through Security and Operational Risk Management. Emerald/Science Direct (Q1, Scopus).


Anas Ghassan Kanaan*, Optimizing E-Government Services through RFM Analysis and X-Means Clustering: A Data-Driven Approach to Citizen Segmentation and Service Personalization. Emerald (Q1, Scopus, Accepted).


Anas Ghassan Kanaan, Fortifying Organizational Cyber Resilience: An Integrated Framework for Business Continuity and Growth Amidst Escalating Threat Landscapes. Int. J. Comput. Digit. Syst., 16(1), 1–13 (Q3, Scopus).*


Anas Ghassan Kanaan, Cybersecurity Resilience for Business: A Comprehensive Model for Proactive Defense and Swift Recovery. IEEE Int. Conf. Cyber Resilience (ICCR).