Mr. Xin Li | Electromagnetic Material | Best Researcher Award

Shenyang Institute of Engineering, China.

Xin Li is a dedicated researcher and educator specializing in motor design, control systems, and UAV flight control. Currently a faculty member at the School of Automation at Shenyang Institute of Engineering, he has been actively involved in both theoretical and applied research. His work primarily focuses on the analysis and optimization of motor performance, with recent studies on leakage flux coefficients in arc motors. With over 10 academic publications and monographs, he has made notable contributions to the field. Xin Li has also played a key role in mentoring students, guiding them to success in innovation and entrepreneurship competitions at the provincial level, earning over 10 awards. His research expertise extends to leading and participating in five provincial-level scientific research projects. In recognition of his contributions, he has received funding from the Liaoning Huanghai Laboratory Open Innovation Fund. With a strong foundation in electrical engineering and automation, Xin Li continues to explore advancements in power electronics and UAV control systems, aiming to develop more efficient and intelligent automation technologies. His commitment to research, education, and innovation positions him as a rising expert in the field of automation and motor control.

Professional Profile

ORCID Profile

Education

Xin Li holds a master’s degree from Shenyang Polytechnic School, where he specialized in electrical engineering and automation. He completed his postgraduate studies between 2017 and 2020, focusing on advanced motor control techniques and automation system design. Prior to that, he earned his undergraduate degree from Shenyang University of Technology in 2016. His academic journey has provided him with a strong technical foundation in electrical machines, motor design, control systems, and power electronics. Throughout his education, Xin Li developed a deep interest in motor performance optimization, which later became a key area of his research. His studies also involved hands-on experience in motor testing, control algorithms, and automation technologies, equipping him with the necessary skills to contribute meaningfully to the field. His commitment to continuous learning and research has led him to actively participate in provincial research projects and academic conferences, further expanding his expertise in electrical engineering. By combining theoretical knowledge with practical applications, he has positioned himself as an expert in designing and improving motor control systems, particularly for applications in UAV flight control and industrial automation.

Professional Experience

Xin Li has been serving as a lecturer at the School of Automation at Shenyang Institute of Engineering since 2022. In this role, he is actively engaged in teaching, research, and mentoring students in power electronic technology and automation-related courses. His expertise in motor design and UAV control has allowed him to contribute to innovative research in these fields. He has led and participated in five provincial scientific research projects, demonstrating his ability to manage and execute research initiatives effectively. His work primarily revolves around improving the efficiency of electrical machines and optimizing control algorithms for UAV flight stability. Xin Li’s involvement in academic publishing has resulted in over 10 publications in journals and conference proceedings, with notable research on leakage flux coefficient calculations for arc motors. Additionally, he has played an integral role in guiding students in innovation and entrepreneurship competitions, where they have won over 10 awards under his mentorship. His ability to bridge the gap between theoretical research and real-world applications showcases his strong potential as a leading researcher in automation and electrical engineering. By expanding his research collaborations and industry partnerships, he can further enhance his contributions to the field.

Research Interests

Xin Li’s research interests lie in the fields of motor design, control systems, and UAV flight control. His studies focus on the optimization of electrical machines, particularly the calculation of leakage flux coefficients for arc motors, which is critical in improving motor performance and efficiency. He is also deeply involved in UAV flight control, working on advanced control algorithms to enhance the stability and maneuverability of quadrotor drones. His research aims to integrate intelligent automation techniques with motor control systems, making them more reliable and energy-efficient. Xin Li is particularly interested in exploring AI-driven control methodologies for UAVs and electric motors, which could lead to further advancements in automation technology. His work contributes to industrial automation, renewable energy applications, and the development of more efficient propulsion systems for UAVs. By focusing on practical applications, he seeks to bridge the gap between academic research and real-world engineering challenges. Moving forward, Xin Li aims to expand his research into adaptive control mechanisms for smart motors and UAVs, contributing to the advancement of next-generation automation systems. His research has significant implications for improving energy efficiency and control precision in electrical and mechanical systems.

Research Skills

Xin Li possesses strong expertise in motor control, power electronics, and automation technologies. His proficiency in motor design includes in-depth knowledge of electromagnetic field analysis, leakage flux calculations, and optimization of electrical machine performance. His research has involved experimental validation of motor efficiency enhancements, demonstrating his ability to apply theoretical principles to real-world engineering problems. In addition to his motor research, he is skilled in UAV flight control, specializing in stability control algorithms for quadrotor drones. His technical skills also extend to computational modeling, data analysis, and simulation of electrical systems. Xin Li has experience with software tools used for motor simulation and control system analysis, making him proficient in both hardware and software aspects of automation engineering. His ability to integrate machine learning techniques with motor control further enhances his research capabilities. Furthermore, his role in academic publishing and project leadership demonstrates strong communication and project management skills. His ability to mentor students and lead research teams makes him a valuable contributor to academia. Strengthening his collaborations with international research groups and industry partners would further enhance the impact of his work in electrical and automation engineering.

Awards and Honors

Xin Li has been recognized for his contributions to research and student mentorship through multiple awards. Under his guidance, students have achieved over 10 awards in provincial innovation and entrepreneurship competitions, reflecting his dedication to academic excellence and applied research. His research projects have also been supported by the Liaoning Huanghai Laboratory Open Innovation Fund, which acknowledges the significance of his work in motor design and control systems. Additionally, his publications in journals and conferences have contributed to the advancement of motor performance analysis and UAV control technologies. Although he has not yet received major international research awards, his work demonstrates strong potential for future recognition in the field of automation and electrical engineering. By furthering his research impact through high-impact journal publications and securing patents for his innovations, he could gain additional recognition at both national and international levels. His contributions to the academic community and his ability to drive innovation in motor control and UAV automation make him a strong candidate for research awards in automation and engineering sciences. His continued dedication to research excellence will likely result in further prestigious honors in the future.

Conclusion

Xin Li is an emerging researcher in the field of motor design and UAV control, with significant contributions to automation and electrical engineering. His research on optimizing motor efficiency and improving UAV flight stability has practical applications in industrial automation and aerospace technology. His leadership in research projects, academic publishing, and student mentorship highlights his dedication to advancing the field. While he has made notable contributions, expanding his research collaborations, increasing high-impact journal publications, and developing industry partnerships will further enhance his career. His ability to integrate theoretical knowledge with practical applications positions him as a valuable contributor to electrical engineering research. With continued focus on innovation, Xin Li has the potential to achieve greater recognition and contribute significantly to the future of smart automation systems. His work aligns with the evolving needs of modern engineering, making him a strong candidate for future research awards and honors.

Publications Top Notes

Title: Analysis and Calculation of No‐Load Leakage Flux Coefficient for Arc Motors
Authors: YuTong Wang, Xin Li, XiaoQing Li, Yi Sun, HaoMing Qu, QunYuan Li, JiaRen Xu
Year: 2025
Title: Calculation of leakage coefficient of axial flux arc motor
Authors: Xin Li, Hongkui Yan, Jiaxin Li, Qing Ma, Yiming Peng, Zhenhua Zhan, Hengjia Shi, Qihang Li, Zhicheng Guo
Year: 2023

Dr. Gül Yilmaz Atay | Composite Materials | Best Researcher Award

PhD Student at Centro Technologic CEIT Association, Spain.

Angel Sota Muñoz is a highly skilled physicist specializing in Soft Magnetic Materials engineering. He holds a Master’s degree in Advanced Materials and is currently pursuing a PhD in the same field. With a solid educational background from the University of Cantabria and the University of the Basque Country, Angel has gained valuable experience through his academic and industrial endeavors. He has engaged in research projects, practices, and thesis work at prestigious institutions such as Valdecilla’s hospital IDIVAL and the research center Fundación Centro Tecnológico de Componentes (CTC). Currently, he is pursuing an Industrial PhD at CEIT-BRTA and the University of Navarra (UNAV), Spain. Angel possesses strong programming skills in C++, Latex, Matlab, and other software, along with expertise in experimental design and data analysis. His multifaceted skill set, combined with his academic achievements and professional experience, positions him as a competent and promising researcher in the field of Soft Magnetic Materials engineering.

Professional Profiles:

Education:

Gül Yılmazatay pursued her academic journey with fervor, culminating in a rich educational background spanning various fields of engineering. She earned her PhD in Metallurgical and Material Engineering from Dokuz Eylül University in İzmir, Turkey, from 2008 to 2013. Prior to that, she completed her Master of Science in the same discipline at the same university from 2005 to 2008. Her foundational education began with a Bachelor of Science in Mining-Mineral Processing Engineering from the esteemed Middle East Technical University in Ankara, Turkey, where she laid the groundwork for her future endeavors in the field.

Professional Experience:

Gül Yılmazatay has amassed extensive professional experience across academia and industry, showcasing her expertise and versatility in the field of metallurgical and materials engineering. She currently holds the esteemed position of Professor at İzmir Katip Çelebi University, where she contributes significantly to the Material Science and Engineering department. Prior to this, she served as an Assistant Professor at Muğla University’s Faculty of Engineering, further enriching her academic portfolio. Her journey in academia began as a Lecturer at Ege University in Izmir, where she imparted knowledge and mentored students. Beyond academia, Gül has also made notable contributions to industry, serving as an R&D Manager at Likya Minelco Inc. in Izmir and as a Sales and Marketing Engineer at Kaltun Mineral Processing Inc. in Aydın, Turkey. Her diverse professional experience underscores her commitment to advancing research, education, and innovation in metallurgical and materials engineering.

Research Interest:

Gül Yılmazatay’s research interests span a wide range of topics within the field of metallurgical and materials engineering. She has a particular focus on powder metallurgy and binary titanium alloys, exploring their properties and applications. Additionally, her research encompasses metal-matrix composites, semi-solid processing, thixoforming, mini-thixoforming, and metallic glasses. She is also interested in smart materials, multifunctional materials, nanotechnology, and polymer composites, with a focus on applications such as flame retardancy, radar absorption, self-healing properties, and antibacterial functionality. Gül’s diverse research interests reflect her commitment to advancing knowledge and innovation in materials science, contributing to various industrial and technological applications.

Award and Honors:

Gül Yılmazatay has been recognized with prestigious awards and honors for her outstanding contributions to metallurgical and materials engineering. Among her notable achievements is the Third Award in the Mining Sector at the Dedeman Holding Mehmet Kemal Dedeman Research and Development Project Contest in 2011. This recognition was bestowed upon her for her project titled “The Use of Huntite/Hydromagnesite Mineral as a Preventive of Fire in Plastics and the Research for the Flame Retardant Effect of Dimension Dissolution.” Additionally, Gül Yılmazatay holds a European patent (EP2489705) for developing a production method for a polymer paint with non-flammable properties, registered on August 22, 2012. These accolades underscore her exceptional research endeavors and underscore her commitment to advancing materials science.

Research Skills:

Gül Yılmazatay possesses extensive research skills in the field of metallurgical and materials engineering. She is proficient in various synthesis techniques, including sol-gel and reduction methods for nanoparticle fabrication. Her expertise extends to flame retardancy testing methodologies such as LOI and antibacterial testing. She is well-versed in the characterization techniques of VSM, network analyzer, FTIR, DTA-TG, SEM-EDS, XRD, AFM, scratch testing, optical microscopy, turbidimeter, and pH-meter. Additionally, she has experience in mechanical testing, including tensile strength testing and fracture toughness analysis, as well as optical and electrical testing methods such as refractometry, spectrofotometry, and dielectric analysis. Gül Yılmazatay’s proficiency in laboratory techniques and equipment utilization underscores her capability to conduct comprehensive and advanced research in her field.

Xin Li | Electromagnetic Material | Best Researcher Award