Dr. Yingying Wang | Performance Analysis | Best Researcher Award

Dr. Yingying Wang | Performance Analysis | Best Researcher Award

Dr. Yingying Wang, China University of Mining and Technology, Beijing, China

Wang Yingying, Ph.D., is a leading expert in electrical engineering and currently serves as the Deputy Director of the Department of Electrical Engineering at Tsinghua University. She earned her PhD in Electrical Engineering from Tsinghua University in 2018, focusing on the numerical calculation of electromagnetic fields and transient analysis of electromagnetic devices. Dr. Wangā€™s research interests include the study of magnetic devices in switching power supplies and improving the efficiency of power systems through electromagnetic modeling. In addition to her research, Dr. Wang is dedicated to education, teaching electromagnetic field theory and serving as a council member of the Electromagnetic Field Teaching and Research Association. She has also led significant projects, including those funded by the National Natural Science Foundation of China and the State Key Laboratory of Power Systems. Dr. Wangā€™s work aims to advance the understanding and development of more efficient electrical systems worldwide.

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Suitability of Wang Yingying for the Research for Best Researcher Award

Dr. Wang Yingying is a highly accomplished researcher and educator in electrical engineering, specializing in electromagnetic field analysis and power system dynamics. Her significant contributions in the areas of electromagnetic field calculation, transient analysis of electromagnetic devices, and magnetic devices in switching power supplies position her as an excellent candidate forĀ  Best Researcher Award.

šŸŽ“ Education

Dr. Wang Yingying earned her Ph.D. in Electrical Engineering from Tsinghua University, Beijing, China, in 2018. Her doctoral research focused on the numerical calculation of electromagnetic fields and the transient behavior of electromagnetic devices in power systems, providing her with a deep understanding of electromagnetic field analysis and power system dynamics. Prior to her Ph.D., Dr. Wang completed both her Bachelorā€™s and Masterā€™s degrees in Electrical Engineering at Tsinghua University, where she gained substantial expertise in electrical systems, particularly in relation to power system dynamics and electromagnetic behavior. Her educational background has been integral to her research in transient analysis and the modeling of electromagnetic behavior in power systems.

šŸ¢ Experience

Dr. Wang is currently serving as the Deputy Director of the Department of Electrical Engineering at Tsinghua University, where she plays a key role in shaping the departmentā€™s academic programs and research direction. In this leadership role, she oversees initiatives related to the study and application of electromagnetic fields in power systems. As a dedicated researcher and educator, Dr. Wang teaches undergraduate and graduate-level courses on electromagnetic fields and has mentored many students and professionals in the field. She has also been the principal investigator on major research projects, including one funded by the National Natural Science Foundation of China and an open project at the State Key Laboratory of Power Systems. These projects focus on advancing the understanding of electromagnetic fields and improving transient modeling in electrical systems.

šŸ… Awards and Honors

Dr. Wang has led several prestigious projects, including the National Natural Science Foundation of Chinaā€™s funded project, where she has contributed significantly to the field of electromagnetic field analysis and transient modeling in power systems. She also leads an open project at the State Key Laboratory of Power Systems, focusing on addressing challenges in electromagnetic devices and enhancing power system performance. Dr. Wang serves as a council member of the Electromagnetic Field Teaching and Research Association, contributing to the development of curriculum and research in this area. Her excellence in teaching has been recognized by the academic community, and she is respected for her contributions to both education and engineering research.

šŸ”¬ Research Focus

Dr. Wang’s research specializes in the development of advanced numerical methods for calculating electromagnetic fields, with direct applications in power systems. She is particularly focused on investigating the transient behavior of electromagnetic devices, aiming to improve the stability and reliability of electrical systems during sudden disturbances. Additionally, Dr. Wang explores the performance of magnetic devices used in switching power supplies, seeking solutions to reduce energy loss and improve overall efficiency. Her work is crucial in advancing the design and optimization of power systems, contributing to the development of more resilient and efficient electrical grids and power equipment.

Publication Top Notes:

  • Influence of Saturation Levels on Transformer Equivalent Circuit Model
    • Citations: 1
  • Dual Multi-Winding High-Frequency Transformer Equivalent Circuit for Power Converter Applications
    • Citations: 7
  • Risk Prediction of Sub-Synchronous Oscillation Based on the Black-Box Impedance Model of DFIG for Multiple Operating Conditions
    • Citations: 1
  • Determination Method of Nonlinear Reluctance Matrix Considering Saturation Differences for Three-Phase Transformers
  • Indicator System and Evaluation Method for Technology Development Maturity of P2X

 

 

 

Prof. Dr. Chen-Tung Chen | Performance Analysis | Best Researcher Award

Prof. Dr. Chen-Tung Chen | Performance Analysis | Best Researcher Award

Prof. Dr. Chen-Tung Chen, National United University, Taiwan

Chen-Tung Chen, a renowned academic in Industrial Engineering, holds a distinguished career as a professor at the Department of Information Management, National United University, Taiwan, since 2005. He earned his Bachelor’s and Master’s degrees in Industrial Engineering from National Tsing-Hua University, Taiwan, in 1987. In 1995, he completed his Ph.D. in Industrial Engineering and Management at National Chiao-Tung University, Taiwan. With an extensive academic background, Professor Chen has made significant contributions to various fields, including decision support systems, knowledge management, project management, data mining, and supply chain management. His research integrates fuzzy set theory and multiple criteria decision-making to address complex issues in the aforementioned domains. He has published numerous influential articles in prominent academic journals, shaping the evolution of Industrial Engineering and Information Management in Taiwan and beyond. His work continues to inspire students and professionals alike, making him a key figure in his field.

Professional Profile:

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Suitability for Best Researcher Award:

Professor Chen-Tung Chen is highly suitable for the Best Researcher Award due to his remarkable contributions to the fields of Industrial Engineering and Information Management. His work in fuzzy set theory and multiple criteria decision-making has shaped the way complex problems in areas like project management, supply chain management, and knowledge management are approached. Professor Chenā€™s interdisciplinary expertise, particularly in decision support systems and data mining, has not only advanced academic knowledge but has also driven innovation in practical applications, benefiting both businesses and research communities. His pioneering research and continuous focus on bridging theory with practice demonstrate his leadership and impact in his field.

šŸŽ“EducationĀ 

Chen-Tung Chenā€™s academic journey began with a Bachelor’s and Master’s degree in Industrial Engineering from the Department of Industrial Engineering at National Tsing-Hua University, Taiwan, in 1987. Driven by a passion for research and academia, he pursued his Ph.D. in Industrial Engineering and Management at National Chiao-Tung University, Taiwan, which he completed in 1995. His doctoral research further deepened his understanding of decision-making processes and their applications in management systems. This solid educational foundation provided the groundwork for his academic career, allowing him to delve into cutting-edge research areas such as fuzzy set theory, decision support systems, and knowledge management. Throughout his career, Professor Chen has remained committed to the continuous pursuit of knowledge, contributing to advancements in his field. His education, along with his rigorous research and teaching experience, has positioned him as a respected leader in the fields of Industrial Engineering and Information Management.

šŸ¢ExperienceĀ 

Professor Chen-Tung Chen has had an esteemed career in academia, holding the position of Professor at the Department of Information Management, National United University, Taiwan, since 2005. Prior to this, he earned a solid foundation in Industrial Engineering and Management, where he gained extensive experience in both teaching and research. His early academic journey included earning his Bachelorā€™s and Masterā€™s degrees in Industrial Engineering from National Tsing-Hua University and his Ph.D. from National Chiao-Tung University, Taiwan. Over the years, Professor Chen has contributed to the growth of his department by offering innovative courses and mentoring numerous graduate students. His interdisciplinary expertise spans several areas, including fuzzy set theory, project management, data mining, and supply chain management. His influence extends beyond the classroom as he has become a key figure in advancing research in decision support systems, knowledge management, and e-business. His vast experience in academia has made him an invaluable resource for students and the research community.

šŸ…Awards and HonorsĀ 

Professor Chen-Tung Chen has been widely recognized for his outstanding contributions to the fields of Industrial Engineering and Information Management. Over the years, he has received several academic accolades for his excellence in research and teaching. As a respected figure in the academic community, he has earned recognition from numerous prestigious journals, where his work has been published. His research, particularly in the application of fuzzy set theory and multiple criteria decision-making, has garnered attention and praise from his peers. Professor Chen’s ability to bridge the gap between theory and practice has led to his involvement in significant projects in the fields of supply chain management, knowledge management, and e-business. His work has had a profound impact on both the academic and professional realms, earning him awards for his contributions to decision support systems and project management. His dedication to advancing his field continues to inspire colleagues, students, and researchers globally.

šŸ”¬Research FocusĀ 

Professor Chen-Tung Chenā€™s research interests are centered on several critical areas in Industrial Engineering and Information Management. His primary focus lies in the application of fuzzy set theory and multiple criteria decision-making techniques to complex decision-making problems in various fields, including project management, supply chain management, and knowledge management. His work in developing decision support systems has led to innovative solutions for optimizing business processes and improving decision-making efficiency. Professor Chen also explores the role of data mining in extracting actionable insights from large datasets, enhancing organizational performance. His research in e-business focuses on improving digital transformation strategies and decision-making processes in modern enterprises. Additionally, his contributions to the design of supply chain management systems aim to create more efficient and responsive global supply networks. Overall, Professor Chenā€™s research aims to bridge theoretical knowledge with practical applications, providing valuable tools for both academic and professional communities.

Publication Top Notes:

  1. “Extensions of the TOPSIS for group decision-making under fuzzy environment”
    • Citations: 5275
  2. “A fuzzy approach for supplier evaluation and selection in supply chain management”
    • Citations: 2532
  3. “Acute toxicity and biodistribution of different sized titanium dioxide particles in mice after oral administration”
    • Citations: 1526
  4. “Acute toxicological effects of copper nanoparticles in vivo”
    • Citations: 1358
  5. “Diverse applications of nanomedicine”
    • Citations: 1315