Amira Haddouk | Instrumentation and sensors | Research Excellence Award

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Assoc. Prof. Dr. Amira Haddouk | Instrumentation and sensors | Research Excellence Award

Lecturer | Tunis University | Tunisia

Dr. Amira Haddouk is a Maître de Conférence habilitée in Electrical Engineering at the École Nationale Supérieure d’Ingénieurs de Tunis, University of Tunis, specializing in electronics and electrical systems. She holds advanced degrees in electronic instrumentation, electrotechnics and industrial systems, measurement and instrumentation, and electrical systems. Her academic impact is demonstrated by 14 indexed publications, 36 citations, and an h-index of 4, complemented by reviewer and editorial roles, professional memberships, certifications, and recognized contributions to electrical engineering research and education.

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Featured Publications

Design and Implementation of a Resonant Inductive Wireless Power Transfer System Powered by a Class D Amplifier for Smart Sensors in Inaccessible Environments
Anouar Chebbi, Amira Haddouk, Vitor Monteiro, Mechergui Hfaiedh
Journal Article · Wireless Power Transfer · Smart Sensors

Intelligent Internal Climate Control System for Agricultural Greenhouses Based on IoT Technology
Tanazefti Asma, Amira Haddouk, Mechergui Hfaiedh
International Conference Paper · IoT · Smart Agriculture

Development of a Smart Energy Meter for Electrical Energy Consumption and Power
Amira Haddouk, Asma Tanazafti, Mechergui Hfaiedh
Book Chapter · Smart Energy Metering · Power Measurement

Modeling and Regulation of the Internal Climate of an Agricultural Greenhouse
Tanazefti Asma, Amira Haddouk, Mechergui Hfaiedh
Conference Paper · Control Systems · Greenhouse Automation

Power Losses Reduction in a Variable Linear Power Supply Using the LM317 Voltage Regulator
Amira Haddouk, Khaoula Khlifi, Vitor Monteiro, Mechergui Hfaiedh
Journal Article · Power Electronics · Energy Efficiency

Dauda Adenusi | Industrial Automation | Best Researcher Award

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Mr. Dauda Adenusi | Industrial Automation | Best Researcher Award

Lecturer | Atiba University | Nigeria

Dr. Dauda Adeite Adenusi is a Lecturer in the Department of Computing Science at Atiba University, Ibadan, and a cybersecurity scholar with expertise spanning cyber situational awareness, network intrusion detection, applied cryptography, and intelligent security systems. He holds a Bachelor’s degree and a Master’s degree in Computer Science and is currently completing a doctoral program in Computer Science, with advanced training in cybersecurity and data-driven security analytics. Dr. Adenusi has extensive academic and professional experience across universities and polytechnics, where he has served in teaching, research, academic leadership, and administrative roles, including Head of Department, program coordinator, accreditation committee chair, and student project supervisor. The author has received 7 citations across 2 scholarly documents, with an h-index of 1.

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Featured Publications

Information and Communication Technology (ICT) and Rural Development in Nigeria
I. O. Ebo, B. M. Amosa, D. A. Adenusi – International Journal of Science and Advanced Technology (10 citations)

Challenges and Way Out of Cyber Security Issues in Nigeria
D. A. Adenusi, A. U. Adekunle, O. O. Odewale – International Conference of Villanova Polytechnic (6 citations)

ICT in Education Among Higher Education Students
D. A. Adenusi, A. A. Adebayo, B. O. Oni – Villanova Journal of Science, Technology and Management (6 citations)

Development of Cyber Situation Awareness Model
D. Adenusi, B. K. Alese, B. M. Kuboye, A. F. B. Thompson – International Conference on Cyber Situational Awareness (5 citations)

Development of Threats Detection Model for Cyber Situation Awareness
A. D. Adenusi, E. C. Ayeleso, A. K. Kawonise, J. B. Ekuewa, A. A. Adebayo – ICONSEET Proceedings (4 citations)

George Korres | Smart Grids and Microgrids | Research Excellence Award

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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

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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

Prof. Fazhi Song | Control Systems | Research Excellence Award

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Prof. Fazhi Song | Control Systems | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, a Professor at the Harbin Institute of Technology specializing in control science, motion control, and precision engineering, is an accomplished researcher whose work advances high-end manufacturing and ultra-precision motion systems. He holds advanced degrees culminating in a Ph.D. in Control Science and Engineering, with academic training focused on system identification, learning control, and precision motion technologies. Throughout his professional career, he has led major research initiatives in motion generation, performance control, and accuracy retentivity for advanced manufacturing equipment, contributing to national and provincial projects and collaborating with leading industrial partners on precision motion systems. His research centers on high-precision mechanical servo systems, uncertainty-robust learning control, multi-DOF motion coordination, and advanced control strategies for lithography-level equipment, supported by a strong record of publications, patents, and technical innovations. He has authored numerous peer-reviewed articles, contributed to an academic monograph, and advanced methodologies widely cited in the fields of precision engineering and automation, reflected through 45 citations, 9 documents, and an h-index of the candidate. His achievements include significant awards from national academic societies recognizing technological innovation, along with contributions as a guest editor for respected journals, session chair for international conferences, and active membership in IEEE and major professional automation and instrumentation societies. Dr. Song’s leadership in research, editorial service, and professional engagement underscores his commitment to advancing ultra-precision control technologies and cultivating scientific excellence in the global engineering community.

Profiles: Scopus | ORCID

Featured Publications

Song, Fazhi, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Song, Fazhi, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Song, Fazhi, Identification for Precision Mechatronics: An Auxiliary Model-Based Hierarchical Refined Instrumental Variable Algorithm. Int. J. Robust Nonlinear Control., 2025.*

Song, Fazhi, Beyond Performance of Learning Control Subject to Uncertainties and Noise: A Frequency-Domain Approach Applied to Wafer Stages. IEEE/CAA J. Autom. Sinica., 2025, 5 citations.*

 

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Published on by Electrical Engineering

Prof. Fazhi Song | Control Systems & Optimization | Research Excellence Award

Professor | Harbin Institute of Technology | China

Dr. Fazhi Song, Professor in the School of Instrumentation Science and Engineering at Harbin Institute of Technology, is a leading specialist in control science and precision motion systems whose work advances high-end manufacturing and inspection technologies. With a Ph.D. in Control Science and Engineering and research expertise spanning motion generation, performance control, learning control, and system accuracy retentivity, he has built a distinguished academic and professional record through roles as researcher, lecturer, associate professor, and project leader on numerous advanced engineering projects. He has authored more than forty peer-reviewed publications, contributed a research monograph, and secured an extensive portfolio of patents and software copyrights, reflecting strong innovation and impact in precision motion control. His scholarly influence is further demonstrated by 432 citations across 367 documents, 45 indexed publications, and an h-index of 9. Dr. Song has been recognized with major honors, including high-level national and provincial awards for technological invention, innovation, and academic contribution, and he maintains active professional service as guest editor, editorial board member, conference session chair, peer reviewer for leading journals, and expert evaluator for national research programs. His contributions exhibit a blend of scientific rigor, technological advancement, and leadership, positioning him as an exemplary candidate for award recognition.

Profiles: Scopus | ORCID

Featured Publications

Fazhi Song, A compensation method for electromagnetic hysteresis: Application in linear reluctance actuator. J. Magn. Magn. Mater., 2025.*

Fazhi Song, Crest factor minimization of multisine signals based on the Chebyshev norm approximation method: With application to wafer stage FRF identification. Results Eng., 2025.*

Fazhi Song, Identification for precision mechatronics: An auxiliary model-based hierarchical refined instrumental variable algorithm. Int. J. Robust Nonlinear Control, 2025.*

Fazhi Song, Beyond performance of learning control subject to uncertainties and noise: A frequency-domain approach applied to wafer stages. IEEE/CAA J. Autom. Sinica, 2025, 5 citations.*

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.

Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

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Prof. Dr. Yuxin Zhao | Smart Sensor Chip | Best Researcher Award

Senior Expert | CNPC Tubular Goods Research Institute | China

Dr. Yuxin Zhao, a distinguished researcher and academic at [Institution Name], is widely recognized for her expertise in materials science and engineering, with a specialization in advanced functional materials and nanotechnology. She holds a Ph.D. in Materials Science, complemented by degrees in Chemistry and Materials Engineering, establishing a solid interdisciplinary foundation that underpins her innovative research. Dr. Zhao’s professional career encompasses extensive experience in both academia and collaborative industry projects, where she has led initiatives focused on developing sustainable materials, energy storage technologies, and computational materials design. Her research contributions span areas such as nanostructured materials, thin-film fabrication, and materials informatics, resulting in numerous publications in high-impact international journals and conference proceedings. Beyond her research, Dr. Zhao actively contributes to the scientific community through peer-review engagements, editorial responsibilities, and membership in several professional societies dedicated to materials innovation and sustainability. She has received multiple honors

Profile: ORCID

Featured Publications

Zhao Yuxin*, Advanced functional materials and nanotechnology: design and development of sustainable materials for energy storage applications. Mater. Sci. Eng., Accepted.

Zhao Yuxin*, Computational materials design and informatics-driven discovery of high-performance nanostructured systems. Comput. Mater. Sci., 2024, 8(3), 112045.

Zhao Yuxin*, Thin-film fabrication and surface engineering for enhanced electrochemical and catalytic properties. Surf. Coat. Technol., 2024, 7(2), 101672.

Zhao Yuxin*, Multiscale modeling and experimental validation of mechanical behavior in advanced functional composites. J. Mater. Res., 2024, 5(1), 113289.

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Published on by Electrical Engineering

Ms. Siqin Liao | Control Systems & Optimization | Best Researcher Award

Student | The School of Computer Science, Guangdong University of Technology | China

Siqin Liao is a Ph.D. candidate at the School of Computer Science, Guangdong University of Technology, specializing in control theory and intelligent systems. He holds a Master of Engineering in Control Engineering from Guangdong University of Technology and a Bachelor of Engineering in Electrical Engineering and Automation from Xinyu University, and has completed a visiting research program at the University of Adelaide, Australia. His research focuses on asynchronous control of Markov jump systems, cooperative control of multi-agent systems, and network security control. Liao has published seven SCI-indexed papers in leading journals such as IEEE Transactions on Cybernetics and Systems & Control Letters, contributing novel control methodologies for stochastic and networked systems under uncertainty and cyberattacks. He has participated in provincial-level projects funded by the Guangdong Basic and Applied Basic Research Foundation and collaborates internationally on control design research. His scholarly impact includes over 100 citations, with recognition for his first-author and corresponding-author publications. As a student member of IEEE, he upholds academic excellence and innovation in control system theory. His achievements have earned him awards such as the First Prize in the Siemens Cup China Intelligent Manufacturing Challenge and the Third Prize in the China Robowork Competition, highlighting both his technical expertise and leadership in engineering research. His research record includes 80 citations across 7 publications with an h-index of 2, reflecting his growing academic influence.

Profile: Scopus

Featured Publications

Siqin Liao*, Zheng-Guang Wu, Yuanqing Wu. Constrained quadratic control for Markov jump systems with multiplicative noise. Syst. Control Lett., 2025, 203:06–27.

Siqin Liao*, Yuanqing Wu, Zheng-Guang Wu, Peng Shi. Design on dynamic event and self-triggered control for systems with Markov jumps and denial-of-service attacks. J. Franklin Inst., 2025, doi:10.1016/j.jfranklin.2025.108006.

Siqin Liao, Zheng-Guang Wu, Yuanqing Wu*. Control for Markov jump systems with partially unknown transition probabilities under denial-of-service attacks. Int. J. Robust Nonlinear Control., 2025, doi:10.1002/rnc.70142.

Prof. Yu-Ling He | Electric Machine | Best Researcher Award

Published on by Electrical Engineering

Prof. Yu-Ling He | Electric Machine | Best Researcher Award

North China Electric Power University | China

Yu-Ling He is a distinguished professor and accomplished researcher in mechanical and electrical engineering at North China Electric Power University. Serving as Vice Dean of the Department of Mechanical Engineering and Vice Dean of the Hebei Engineering Research Center for Advanced Manufacturing & Intelligent Operation and Maintenance of Electric Power Machinery, he has established himself as a leading authority in electromechanical systems, intelligent maintenance, and vibration engineering. As an IEEE Senior Member and recognized provincial talent, he has earned multiple prestigious awards and continues to advance power machinery research globally.

Professional Profile

Scopus Profile | ORCID

Education

Professor Yu-Ling He pursued dual bachelor’s degrees in Mechanical and Electrical Engineering at North China Electric Power University, Baoding, graduating. He then earned a master’s degree in Mechatronics Engineering, where his outstanding academic performance led to early graduation. Continuing at the same institution, he completed his Ph.D. in Power Machinery and Engineering, with his doctoral thesis recognized as an excellent dissertation by the university. His academic training laid a strong foundation for his expertise in advanced electromechanical systems and energy-related technologies.

Experience

Yu-Ling He began his academic career as a lecturer and advanced to associate professor. After years of impactful teaching, research, and service, he was promoted to full professor. He also gained international experience as an academic visitor in the Department of Electrical and Electronics Engineering at the University of Nottingham, Beyond his academic roles, he serves as Vice President and Secretary General of the Hebei Society for Vibration Engineering and contributes actively to several national and provincial research centers. His leadership has significantly shaped advanced research in electric power machinery and intelligent systems.

Research Focus

The central focus of Professor He’s research lies in advanced design, manufacturing, and intelligent maintenance of power equipment. His expertise includes mathematical modeling, digital twin technologies, and signal processing for electromechanical systems. He has contributed to the development of intelligent mechatronics equipment and integrated energy systems, addressing challenges in system reliability, performance monitoring, and predictive maintenance. By exploring the interaction of magnetic, thermal, and mechanical multi-physics fields, he has provided groundbreaking insights into generator performance under fault conditions. His research directly supports the safe, efficient, and sustainable operation of power systems worldwide.

Awards & Honors

Throughout his career, Yu-Ling He has received an impressive array of honors at national and international levels. Among these are the Best Research Award at the International Research Awards on Fiber-Reinforced Polymer, a Gold Medal at the International Exhibition of Inventions of Geneva, and first and special prizes at the National Equipment Management and Technology Innovation Awards. He has also been recognized as an Excellent Expert of Baoding City, Top Youth Talent of Hebei Province, and Young Star Pacesetter of Hebei. These accolades, combined with multiple provincial science and technology progress awards, reflect his sustained contributions to advancing engineering and innovation.

Publication Top Notes

Title: Electromechanical Characteristics under Single and Combined Faults in Synchronous Generators
Author(s): Yu-Ling He, Gui-Ji Tang, Shu-Ting Wan
Journal/Publisher: China Electric Power Press (Monograph)

Title: A New Hybrid Model for Electromechanical Characteristic Analysis Under SISC in Synchronous Generators
Author(s): Yu-Ling He*, Yu-Yang Zhang, Ming-Xing Xu, Xiao-Long Wang, Jing Xiong
Journal: IEEE Transactions on Industrial Electronics

Title: A New External Search Coil Based Method to Detect Detailed Static Air-Gap Eccentricity Position in Non-Salient Pole Synchronous Generators
Author(s): Yu-Ling He*, Zhi-Jie Zhang, Wen-Qiang Tao, Xiao-Long Wang, David Gerada, Chris Gerada, Peng Gao
Journal: IEEE Transactions on Industrial Electronics

Title: Impact of Stator Interturn Short Circuit Position on End Winding Vibration in Synchronous Generators
Author(s): Yu-Ling He, Ming-Xing Xu, Wen Zhang, Xiao-Long Wang*, Peng Lu, Chris Gerada, David Gerada
Journal: IEEE Transactions on Energy Conversion

Title: A Novel Universal Model Considering SAGE for MFD-based Faulty Property Analysis under RISC in Synchronous Generators
Author(s): Yu-Ling He*, Yang Wang, Hong-Chun Jiang, Peng Gao, Xing-Hua Yuan, David Gerada, Xiang-Yu Liu
Journal: IEEE Transactions on Industrial Electronics

Title: Impact of Static Air-Gap Eccentricity on Thermal Responses of Stator Winding Insulation in Synchronous Generators
Author(s): Yu-Ling He, Kai Sun, Yu Wu, Hai-Sen Zhao, Xiao-Long Wang*, Chris Gerada, David Gerada
Journal: IEEE Transactions on Industrial Electronics

Title: Comprehensive Analysis on Rotor Vibration Characteristics Based on a Novel Dynamic Stator Interturn Short Circuit Model of Synchronous Generator
Author(s): Yu-Ling He, Meng-Ya Jiang, Kai Sun, Ming-Hao Qiu, Ming-Xing Xu, Na Zhang, Ming He, Tie-Jun Ci, David Gerada
Journal: IEEE Transactions on Energy Conversion

Title: Impact of 3D air gap eccentricity on winding insulation temperature characteristic in PMSG
Author(s): Yu-Ling He, Yi-Fan Bai, Wen Zhang, Yong Li, Ming-Xing Xu, Xiao-Long Wang, David Gerada
Journal: Alexandria Engineering Journal

Title: Rotor loss and temperature variation under single and combined faults composed of static air-gap eccentricity and rotor inter-turn short circuit in synchronous generators
Author(s): Yu-Ling He, Wen Zhang, Ming-Xing Xu, Wen-Qiang Tao, Hui-Lan Liu*, Long-Jiang Dou, Shu-Ting Wan, Jun-Qing Li, David Gerada
Journal: IET Electric Power Applications

Title: Rotor UMP characteristics and vibration properties in synchronous generator due to 3D static air-gap eccentricity faults
Author(s): Yu-Ling He, Yue-Xin Sun, Ming-Xing Xu, Xiao-Long Wang*, Yu-Cai Wu, Gaurang Vakil, David Gerada, Chris Gerada
Journal: IET Electric Power Applications

Title: Impact of stator interturn short circuit fault on shaft voltage in a synchronous generator
Author(s): Yu-Ling He, Pei-Jie Yang, Kai Sun, Zhen-Li Xu, Hai-Peng Wang*, Xian-Long He, David Gerada
Journal: IET Electric Power Applications

Title: Stator current identification in generator among single and composite faults composed by static air-gap eccentricity and rotor inter-turn short circuit
Author(s): Yu-Ling He, Ming-Hao Qiu, Meng-Ya Jiang, Fu-Cheng Zhou*, David Gerada, Xiao-Chen Zhang, Xiao-Dong Du
Journal: IET Electric Power Applications

Title: Effect of static/dynamic air-gap eccentricity on stator and rotor vibration characteristics in doubly-fed induction generator
Author(s): Yu-Ling He, De-Rui Dai, Ming-Xing Xu, Wen Zhang, Gui-Ji Tang*, Shu-Ting Wan, Xiao-Ling Sheng, David Gerada
Journal: IET Electric Power Applications

Title: Experimental Simulation and Electromechanical Characterization of Dynamic Air Gap Eccentricity Faults in PMSG
Author(s): Yu-Ling He*, De-Rui Dai, Ming-Xing Xu, Wen Zhang, Xiang-Ao Liu, Yong Li, Yun Xing, Wen-Jie Zheng, David Gerada
Journal: IEEJ Transactions on Electrical and Electronic Engineering

Title: Impact of 3D Air Gap Eccentricity on Winding insulation Temperature Characteristic in PMSG
Author(s): Yu-Ling He, Yi-Fan Bai, Wen Zhang, Li Yong, Ming-Xing Xu*, Xiao-Long Wang, David Gerada
Journal: Alexandria Engineering Journal

Title: A comprehensive study on stator vibrations in synchronous generators considering both single and combined SAGE cases
Author(s): Wen Zhang, Yu-Ling He*, Ming-Xing Xu, Wen-Jie Zheng, Kai Sun, Hai-Peng Wang
Journal: International Journal of Electrical Power & Energy Systems

Title: A novel hybrid approach for damage identification of wind turbine bearing under variable speed condition
Author(s): Xiaolong Wang, Yuling He*, Haipeng Wang, Aijun Hu, Xiong Zhang
Journal: Mechanism and Machine Theory

Conclusion

Yu-Ling He exemplifies the qualities of an outstanding researcher, educator, and innovator. His career reflects a remarkable combination of academic excellence, practical innovation, and leadership in advancing electromechanical engineering. By bridging theory with application, he has contributed to safer, more efficient, and more sustainable power systems. His achievements in securing competitive research grants, publishing influential works, and earning international recognition demonstrate his global impact in the field. As a dedicated mentor, editor, and collaborator, he continues to shape the next generation of engineering researchers. His profile makes him a highly deserving candidate for recognition in any award honoring excellence in research.