Shaoqi Wang | High voltage | Best Researcher Award

Posted on by ScienceFather

Dr. Shaoqi Wang | High voltage | Best Researcher Award

Student at High Voltage Division School of Electrical Engineering Xian Jiaotong University, China

Dr. Shaoqi Wang is a Ph.D. candidate in Electrical Engineering at Xi’an Jiaotong University, with a focus on high-voltage technology and transformer insulation systems. Her research spans areas of electrical insulation, moisture dynamics in transformers, and energy conversion. With a strong foundation in electrical engineering and power engineering, Dr. Wang has contributed significantly to understanding the interactions between temperature, moisture, and electrical fields in transformers. Her work is highly recognized in the field of dielectric insulation, with multiple publications in top-tier SCI journals. Dr. Wang is involved in national projects on transformer optimization and energy efficiency, collaborating with leading researchers and contributing to cutting-edge advancements in electrical power systems. Her interdisciplinary research combines simulation and experimental methods, making her an expert in both theoretical and applied aspects of electrical insulation and power generation.

Professional Profile

Education

Dr. Shaoqi Wang is currently pursuing her Ph.D. in Electrical Engineering at Xi’an Jiaotong University, focusing on high-voltage transformer technology under the guidance of Professor Qiaogen Zhang. She began her academic journey at Xi’an Jiaotong University, where she obtained her Master’s degree in Power Engineering and Engineering Thermophysics in 2020. Prior to that, she earned a Bachelor’s degree in Electrical Engineering and Automation from Xi’an University of Posts and Telecommunications in 2017. Throughout her academic career, Dr. Wang has demonstrated exceptional ability in combining theoretical research with practical applications, making significant contributions to high-voltage electrical insulation and transformer dynamics.

Professional Experience

Dr. Wang has been actively involved in several high-profile national research projects, including those funded by the State Grid and the National Key R&D Program. Her work on the design and development of solid-state insulation transformers and digital twin technology for smart transformers has been instrumental in advancing electrical power systems. She has also contributed to projects focusing on moisture dynamics in transformers, leading to the development of models predicting water distribution and accumulation in transformer oil. As part of her doctoral research, Dr. Wang has also worked on vibration-induced bubble formation in oil-filled transformers, using advanced simulation techniques to study multi-physical field interactions.

Research Interest

Dr. Shaoqi Wang’s research interests primarily revolve around electrical engineering, with a particular focus on high-voltage technology and transformer insulation systems. She is deeply engaged in studying the moisture dynamics and fluid-thermal interactions within transformer systems, specifically investigating the role of water in transformer oil and its impact on transformer performance and reliability. Dr. Wang also explores the thermal and mechanical behavior of power transformers, including the design and optimization of insulation materials and systems. Her research intersects the fields of electrical engineering, thermophysics, and materials science, and she actively seeks solutions to improve the efficiency, safety, and sustainability of transformer systems in high-voltage applications.

Research Skills

Dr. Wang possesses a comprehensive set of research skills in both experimental and simulation-based techniques. She is proficient in using advanced simulation software such as Fluent, Maxwell, and Ansys for multi-physical field coupling, including fluid dynamics, electromagnetics, and structural analysis. Dr. Wang also has extensive experience with molecular simulation tools like Gaussian and ADF for investigating material properties at the nanoscale. Her experimental expertise includes the use of various instruments such as time-resolved infrared spectroscopy, scanning electron microscopy (SEM), and X-ray diffraction (XRD). Her ability to integrate computational models with experimental data has been key to her success in understanding complex transformer behaviors.

Awards and Honors

Dr. Wang has earned several prestigious awards and honors in recognition of her academic and research achievements. Notably, she received the Best Paper Award for her student-first-authored work in Energy Storage and Saving in 2023. She has also been a recipient of multiple scholarships, including the university’s top academic scholarship in 2022 and 2023. Additionally, she has received the first-class scholarship from her faculty in 2015 and 2016, underscoring her consistent academic excellence. Dr. Wang’s achievements highlight her outstanding contribution to electrical engineering research, particularly in transformer technology, and her recognition in both national and international academic circles.

Conclusion:

Dr. Shaoqi Wang is an exceptional candidate for the Best Researcher Award due to her outstanding academic record, influential research contributions, and technical expertise. She has shown remarkable leadership in her field and has produced research with practical applications in high-voltage transformer design and energy systems. With further international collaboration and industry engagement, Dr. Wang is poised to make even more significant contributions to her field. Overall, her achievements make her a highly deserving candidate for this prestigious recognition.

Publications Top Notes

  1. Bubble Migration and Accumulation in Oil-paper Insulation: Modeling of Coalescence-induced Size Evolution
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: 10.1109/TDEI.2024.3407730
    • Contributors: Yuhan Sun, Qiaogen Zhang, Zhicheng Wu, Jiajie Song, Shitianyi Tan, Shaoqi Wang
  2. Nanoscale Insights into Insulating Oil Emulsification: Dynamic Interplay of Temperature and Water Dynamics
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: 10.1109/TDEI.2024.3427052
    • Contributors: Shaoqi Wang, Qiaogen Zhang, Zhicheng Wu, Yuhan Sun, Xiaoang Li
  3. Nanoscale Investigation of Water Dynamics in Transformer Insulating Oil: Mechanisms of Droplet Nucleation and Growth
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: 10.1109/TDEI.2024.3413726
    • Contributors: Shaoqi W
  4. Bubble Migration and Accumulation in Oil-Paper Insulation: Interfacial Forces Modeling
    • Journal: IEEE Transactions on Dielectrics and Electrical Insulation
    • Year: 2024
    • DOI: https://doi.2024.3356447
    • Contributors: Yuhan Sun, Qiaogen Zhang, Zhicheng Wu, Chong Guo, Shaoqi Wang, Shitianyi Tan
  5. Moisture Dynamics During High-Load Fluctuations in Transformers: Localised Accumulation and Interfacial Transfer Within Oil/Pressboard Insulation
    • Journal: High Voltage
    • Year: 2024 (October 25)
    • DOI: 10.1049/hve2.12486
    • Contributors: Shaoqi Wang, Qiaogen Zhang, Chong Guo, Yuhan Sun, Zhicheng Wu
  6. Thermal Distribution Characteristics Related to the Transformer Fine Structure Predicted by CFD-Based Spline Interpolation
    • Journal: IEEE
    • Year: 2023 (April)
    • DOI: 10.1109/TDEI.2022.3233340
    • Contributors: Shaoqi Wang, Xiaoang Li, Rui Zhang, Zhiyuan Sha, Zhicheng Wu, Qiaogen Zhang

 

Djallal eddine zabia | electrical power engineering | Best Researcher Award

Posted on by ScienceFather

Mr. Djallal eddine zabia | electrical power engineering | Best Researcher Award

Researcher at university of biskra, Algeria

Djallal Eddine Zabia is an Assistant Lecturer at the University of Biskra in Algeria, specializing in control systems and industrial automation. He is pursuing a Ph.D. in Electrical Engineering, with a focus on reactive power compensation in photovoltaic systems. His expertise spans machine learning, photovoltaic control, and power optimization. Djallal has gained international exposure through internships at renowned institutions like the Politecnico di Milano and Istanbul Technical University. His hands-on research includes developing smart power systems and contributing to sustainable energy solutions.

Profile

Weile Kong | Power system | Best Researcher Award

Posted on by ScienceFather

Mr. Weile Kong | Power system | Best Researcher Award

Student, Anhui University of Science and Technology, China

Weile Kong, a Master’s student at Anhui University of Science and Technology, is a promising researcher specializing in electrical engineering and automation. He has demonstrated strong academic performance, evidenced by multiple scholarships and awards, including the First Class Academic Scholarship and the Internet+ Second Prize. His research contributions are notable, with several high-impact SCI papers and patents under review. Kong’s work focuses on energy systems and optimization algorithms, supported by grants from the Energy Internet Joint Fund and the National Natural Science Foundations of China. His personal attributes—responsibility, strong communication skills, and perseverance—enhance his research potential. To further strengthen his profile, Kong could benefit from expanding his research scope, gaining international recognition, and taking on leadership roles in the academic community. Overall, his achievements reflect a strong foundation for continued success and recognition in the field of electrical engineering.

Profile

Education

Weile Kong’s educational journey showcases a robust foundation in engineering and a commitment to academic excellence. He earned his Bachelor of Engineering in Automation from Anhui University of Science and Technology in June 2022, where he developed a solid understanding of electrical engineering principles and automation technologies. Currently, he is pursuing a Master’s degree in Electrical Engineering at the same institution, having commenced his studies in September 2022. This advanced education has allowed him to delve deeper into specialized areas such as electric load analysis, integrated energy system optimization, and intelligent optimization algorithms. Throughout his academic career, Kong has been recognized for his outstanding performance, receiving both the First Class and Third Class Academic Scholarships. His ongoing research and coursework reflect a strong focus on innovative solutions within energy systems and optimization, underscoring his dedication to advancing the field of electrical engineering.

Professional Experience

Weile Kong, currently pursuing a Master’s degree in Electrical Engineering at Anhui University of Science and Technology, has accumulated significant professional experience in the field of energy systems and optimization. His academic journey began with a Bachelor’s degree in Automation, where he laid a solid foundation in electrical engineering principles. Kong’s research experience includes working on high-impact projects funded by notable grants such as the Energy Internet Joint Fund and the National Natural Science Foundations of China. His contributions to the field are evident in his publications, including influential papers on integrated energy system optimization and intelligent algorithms, with several works under peer review and patents pending. His role as both a first author and a corresponding author highlights his leadership in research. Kong’s involvement in projects funded by the Science and Technology Project of State Grid Anhui Electric Power Co., Ltd. and Anhui University of Science and Technology Innovation Fund further underscores his commitment and expertise in advancing energy solutions.

Research Interest

Weile Kong’s research interests focus on advanced energy systems and optimization techniques, specifically within the realm of electrical engineering. His work involves feature extraction and load clustering for electric load analysis, aiming to improve the efficiency of energy consumption. Kong is also deeply engaged in optimizing integrated energy systems, including microgrid power scheduling and the utilization of intelligent optimization algorithms. His recent projects explore innovative solutions for low-carbon energy integration and demand response mechanisms, incorporating advanced optimization techniques such as the redbilled blue magpie optimizer. Additionally, Kong is involved in developing new methods for high-energy-consuming plant load characterization and has secured patents for his innovative approaches. His research not only addresses theoretical aspects but also emphasizes practical applications, contributing to the development of sustainable and efficient energy systems.

Research Skills

Weile Kong exhibits robust research skills characterized by a deep understanding of electrical engineering and automation. His expertise spans several critical areas, including electric load feature extraction, load clustering, and integrated energy system optimization. Kong’s proficiency with intelligent optimization algorithms, coupled with his ability to apply these techniques in real-world scenarios, highlights his technical acumen. His research contributions, including first-author publications in high-impact SCI journals and innovative patents, reflect a high level of analytical and problem-solving capabilities. Kong demonstrates exceptional research skills in data analysis and algorithm development, essential for advancing energy systems and optimization methodologies. Additionally, his success in securing competitive grants and awards showcases his ability to effectively communicate research significance and potential impact. His dedication to continuous learning and improvement, combined with strong organizational and teamwork skills, further underscores his commitment to excellence in research.

Award and Recognition

Weile Kong has demonstrated exceptional academic and research prowess, earning notable recognition in his field. As a dedicated student at Anhui University of Science and Technology, he has been awarded the First Class Academic Scholarship in 2022 and the Third Class Academic Scholarship in 2023, reflecting his academic excellence. Kong’s innovative research has been acknowledged with the Internet+ Second Prize at the school level in 2024. His significant contributions include first-author papers in high-impact SCI journals and patents under review, highlighting his impact on integrated energy systems and optimization algorithms. His research has garnered support from prestigious grants, including the National Natural Science Foundations of China and the Energy Internet Joint Fund of Anhui Province. These achievements underscore his commitment to advancing his field and his potential for further recognition as a leading researcher.

 Conclusion

Weile Kong demonstrates strong academic performance, innovative research contributions, and potential for significant impact in his field. His achievements, including high-quality publications, patents, and research funding, underscore his dedication and capability. However, to strengthen his candidacy for the Research for Best Researcher Award, he could focus on broadening the impact of his research, enhancing leadership experience, and increasing international visibility. By addressing these areas, Weile Kong could further solidify his position as a leading researcher in his field.

Publication Top Notes

  1. Optimal schedule for virtual power plants based on price forecasting and secant line search aided sparrow searching algorithm”
    • Authors: Wu, H., Feng, B., Yang, P., Kong, W., Peng, X.
    • Year: 2024
    • Journal: Frontiers in Energy Research
    • DOI: Not available
  2. “Robust Price-based EV Load Management Considering Human-choice Uncertainty”
    • Authors: Kong, W., Ye, H., Ge, Y.
    • Year: 2024
    • Journal: IEEE Transactions on Transportation Electrification
    • DOI: Not available
  3. “Corrigendum to ‘Dynamic pricing based EV load management in distribution network'”
  4. “Optimization of Inter-Regional Flexible Resources for Renewable Accommodation”
    • Authors: Kong, W., Ye, H., Wei, N., Liu, S., Chen, W.
    • Year: 2023
    • Conference: 2023 5th Asia Energy and Electrical Engineering Symposium (AEEES 2023)
    • DOI: Not available
    • Citations: 1
  5. “Dynamic pricing based EV load management in distribution network”
    • Authors: Kong, W., Ye, H., Wei, N., Xing, D., Chen, W.
    • Year: 2022
    • Journal: Energy Reports
    • DOI: 10.1016/j.egyr.2022.02.187
    • Citations: 6