Yuxin Ma | Engineering | Best Researcher Award

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Mr. Yuxin Ma | Engineering | Best Researcher Award

Master Degree Candidate at Shanghai Dianji University, China

Ma Yuxin is an emerging researcher in Electrical Engineering, currently pursuing a Master’s degree at Shanghai Dianji University. With a strong academic background and research focus on Permanent Magnet Synchronous Motor (PMSM) control, Ma has already contributed three research papers to international conferences and journals. Recognized for academic excellence, innovation, and technical proficiency, Ma has received multiple scholarships and awards, including the Shanghai “Science and Technology Star of Tomorrow” Creative Award. Alongside research, Ma has practical experience through an internship at Shanghai Electric Fuji Electric Power Technology Co., Ltd., where they are engaged in PMSM sensorless full-speed control projects. Proficient in MATLAB, AD, PSIM, and Keil, Ma has also earned a Siemens NX CAD Engineer Intermediate Qualification. These achievements reflect a commitment to advancing electrical engineering technologies through both theoretical and practical applications.

Professional Profile

Education

Ma Yuxin completed a Bachelor’s degree in Electrical Engineering from Shanghai Dianji University (2018-2022) with outstanding academic performance, earning multiple university scholarships. Currently, Ma is pursuing a Master’s degree in Electrical Engineering at the same institution (2023-present). During undergraduate studies, Ma actively participated in innovation and entrepreneurship projects, winning recognition for contributions to scientific research. The master’s research focuses on PMSM speed control, leading to three published papers in reputable journals and conferences. Academic achievements also include certification as a Siemens NX CAD Engineer and recognition in the Challenge Cup Shanghai University Science and Technology Competition. These educational experiences have provided a strong foundation in theoretical knowledge, research methodologies, and practical applications, preparing Ma for further advancements in electrical engineering research and development.

Professional Experience

Ma Yuxin is currently working as a Technical Research and Development Engineer at Shanghai Electric Fuji Electric Power Technology Co., Ltd. (2024-2025). This role involves conducting research and development on PMSM sensorless full-speed control projects and software testing experiments. During this position, Ma has gained hands-on experience in electrical system simulation, motor control optimization, and embedded system programming. Additionally, Ma’s university years included participation in competitive engineering projects and industry-relevant training programs, reinforcing both practical and theoretical expertise. This experience, combined with academic research, enables Ma to bridge the gap between academia and industry by applying research insights to real-world engineering challenges. The combination of research and industry exposure highlights Ma’s capability to innovate within electrical engineering and contribute to advancements in motor control technologies.

Research Interests

Ma Yuxin’s primary research interests lie in Permanent Magnet Synchronous Motor (PMSM) speed control, with a focus on sensorless full-speed control optimization. Other areas of interest include power electronics, motor drive systems, embedded control systems, and intelligent motor control using AI-based algorithms. Ma is also keen on exploring advanced control strategies for electric vehicles (EVs), renewable energy applications, and industrial automation. The integration of machine learning with motor control to enhance efficiency, reliability, and fault diagnosis is another potential research direction. By combining theoretical knowledge with experimental validation, Ma aims to contribute to the development of more efficient, robust, and cost-effective electrical motor control systems. These interests align with emerging trends in smart grid technologies, automation, and energy-efficient electrical systems, positioning Ma as a promising researcher in modern electrical engineering applications.

Research Skills

Ma Yuxin possesses strong research skills in electrical system modeling, simulation, and motor control algorithm development. Proficient in using MATLAB, PSIM, AD, and Keil for electrical simulations and control system design, Ma also has experience with embedded programming and software testing. Expertise extends to hardware implementation and real-time testing of PMSM control systems, ensuring research findings are practically applicable. Additionally, Ma is skilled in scientific writing and publishing, having successfully authored and published three research papers in reputable journals and conferences. Knowledge of data analysis, experimental design, and optimization techniques further strengthens Ma’s ability to conduct impactful research. These research skills, coupled with technical proficiency, provide a solid foundation for continued contributions to the field of electrical engineering and motor control technology.

Awards and Honors

Ma Yuxin has received numerous awards and honors for academic excellence, innovation, and research contributions. During undergraduate studies, Ma was recognized as an Outstanding Graduate of Shanghai and awarded multiple university scholarships for both academic performance and practical achievements. Additionally, Ma won the Creative Award in the 18th Shanghai “Science and Technology Star of Tomorrow” selection activity, highlighting innovation in scientific research. Another significant achievement includes securing second prize in the 17th “Challenge Cup” Shanghai University Science and Technology Competition, showcasing strong problem-solving and research capabilities. Further honors include the Siemens NX CAD Engineer Intermediate Qualification Certificate, demonstrating technical expertise. These achievements reflect Ma’s commitment to excellence in research, technical skill development, and innovative problem-solving, reinforcing their suitability for prestigious research awards.

Conclusion

Ma Yuxin is a promising researcher in electrical engineering, demonstrating strong academic performance, research productivity, and technical expertise. With three research papers published, awards in innovation competitions, and hands-on experience in PMSM control projects, Ma has a solid foundation for continued contributions to the field. However, further research in high-impact journals, international collaborations, and patent applications would strengthen the case for prestigious research awards. Participation in conferences, industrial projects, and interdisciplinary research could also enhance visibility in the academic community. Given Ma’s current trajectory, continued growth in these areas will position them as a leading researcher in electrical motor control and automation technologies.

Publications Top Notes

  1. Publication: Speed Control of PMSM Based on Series Lead Correction Doubly Fed Differential LADRC

    • Authors: Yuxin Ma
    • Year: 2025

  2. Publication: Research on PMSM Speed Control Based on Improved Super-Twisting Sliding Mode Active Disturbance Rejection Control

    • Authors: Yuxin Ma, Ziqi Lei, Pingping Gu, Xinpeng Feng, Wei Zhang, Chaohui Zhao
    • Year: 2024

 

NIDAL EL BIYARI | Engineering | Women Researcher Award

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Dr. NIDAL EL BIYARI | Engineering | Women Researcher Award

PhD student, EUROMED UNIVERSITY OF FEZ, MOROCCO

Dr. Nidal El-Biyari, a PhD student in Mechatronics Engineering at the Euromed University of Fez, is a strong candidate for the Women Best Researcher Award. Her thesis on designing an opto-fluidic biosensor for breast cancer diagnosis demonstrates her commitment to addressing critical healthcare challenges. Dr. El-Biyari has published significant research in top-tier journals, showcasing her innovative approach to biosensing technologies. With practical experience gained from internships and engineering roles, she has developed strong skills in CAD, robotics, and project management. Her teaching experience at the Euromed Polytechnic School reflects her ability to mentor and inspire future engineers. Additionally, her active involvement in organizing academic events and contributions to the UEMF Student Times highlight her dedication to fostering a supportive research community. Overall, Dr. El-Biyari’s impressive achievements and unwavering commitment to advancing engineering make her a deserving recipient of the Women Best Researcher Award.

Profile

Orcid

Education 

Dr. Nidal El-Biyari is currently a PhD student specializing in Mechatronics Engineering at the Euromed University of Fez, where she is focused on developing an opto-fluidic biosensor for breast cancer diagnosis and monitoring. She has a solid educational foundation, having earned her engineering degree in Mechatronics from the Faculty of Science and Technology of Fes, Morocco. Throughout her academic career, Dr. El-Biyari has demonstrated a strong commitment to her studies, completing multiple years in the State Engineer cycle in Mechatronics. She also holds a degree in Mathematics, Computer Science, and Physics, further enhancing her technical proficiency. Her academic journey has been marked by excellence, evident in her achievements and contributions to research in advanced biosensing technologies. Dr. El-Biyari’s diverse educational background and ongoing research efforts position her as a promising leader in her field, contributing significantly to the advancement of medical technologies.

Professional Experiences

Dr. Nidal El-Biyari has cultivated a robust professional foundation in engineering, primarily within the field of mechatronics. She served as an engineer at Floquet Monopole Industrie, where she focused on improving CAD designs and enhancing the functionality of industrial machinery. Her role as an engineer assistant intern at Lesaffre Fes involved working on the HDA 75 separator machine, further sharpening her practical engineering skills. Additionally, her internship at CBGN allowed her to gain insights into the operational principles of various machines in a production environment. Dr. El-Biyari has also demonstrated her commitment to education through her teaching experience at the Euromed Polytechnic School, where she supervised and mentored students in subjects like geometric optics and fluid mechanics. This diverse array of experiences highlights her technical proficiency and dedication to both research and mentoring, making her a valuable asset in any engineering or academic setting.

Research Interests

Dr. Nidal El-Biyari’s research interests are deeply rooted in the development of cutting-edge technologies for healthcare applications, with a focus on biosensing and microfluidic systems. Her primary area of research revolves around the design, modeling, and production of opto-fluidic biosensors, specifically aimed at improving the early diagnosis and monitoring of breast cancer. Additionally, Dr. El-Biyari is passionate about integrating 3D printing technologies with biosensor design, advancing the field of additive manufacturing for biomedical applications. Her work also explores surface plasmon resonance (SPR) biosensors, enhancing their performance for highly sensitive diagnostic tools. Beyond healthcare, she is interested in the intersection of robotics, optics, and mechatronics, particularly in creating automated systems that optimize precision and efficiency. Through her research, Dr. El-Biyari aims to develop innovative solutions that address critical challenges in medical diagnostics, demonstrating a commitment to improving both healthcare technologies and patient outcomes.

 

Research Skills

Dr. Nidal El-Biyari possesses a diverse array of research skills that make her a standout candidate for the Women Best Researcher Award. Her expertise in designing and modeling opto-fluidic biosensors showcases her proficiency in advanced engineering concepts, particularly in biosensing technologies. With a strong foundation in 3D printing, she applies additive manufacturing techniques to enhance the quality of microfluidic chip fabrication. Dr. El-Biyari is adept in utilizing software such as CATIA V5 and SolidWorks for computer-aided design, as well as MATLAB for data analysis and simulations. Her familiarity with surface plasmon resonance (SPR) biosensing reflects her capability in optical engineering, allowing her to explore innovative sensing solutions for medical diagnostics. Moreover, her participation in international conferences and her published works demonstrate her ability to effectively communicate research findings and collaborate with peers in the scientific community. Overall, Dr. El-Biyari’s comprehensive research skills contribute significantly to her ongoing success and impact in her field.

Awards and Honors

Dr. Nidal El-Biyari has received significant recognition for her groundbreaking research in mechatronics and biosensor technology. Her work on developing an opto-fluidic biosensor for breast cancer detection has been presented at renowned international conferences, including the International Conference on Advanced Functional Materials for Optics and the Fifth International Conference on Materials and Environmental Science. She has co-authored several high-impact publications, including in journals like Optical and Quantum Electronics and Sensors International. Dr. El-Biyari was also a finalist in the ENJOYEERING JUNIOR competition, where she showcased her expertise in robotics and engineering design. Her leadership and innovation were further acknowledged through her role in organizing the USMBA FSTF Enterprises Forum and contributing to the editorial committee of the UEMF Student Times. These accolades reflect her dedication to advancing scientific knowledge and her contributions to both research and the academic community.

Conclusion

Overall, Dr. Nidal El-Biyari is an exemplary candidate for the Women Best Researcher Award. Her academic achievements, innovative research contributions, extensive professional experience, and active community involvement collectively demonstrate her exceptional capabilities and commitment to advancing the field of mechatronics engineering. Recognizing her efforts with this award would not only honor her achievements but also inspire future generations of women in research.

Publication Top Notes

Title: Plasmon Induced Transparency and Waveguide Mode Based Optical Biosensor for Self-Referencing Sensing
Journal: Sensors International
Year: 2024
DOI: 10.1016/j.sintl.2024.100283
Contributors: Nidal El Biyari, Ghita Zaz, Latifa Fakri Bouchet, Mohssin Zekriti
Citations: To be determined (as the article was published in 2024, citation count may not be available yet).

Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

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Mr. Gültekin AKTAŞ | Civil Engineering | Best Researcher Award

Assoc. Prof. Dr at Dicle University Department of Civil Engineering, Turkey.

Gultekin Aktas is a distinguished researcher in civil engineering, specializing in structural dynamics and concrete behavior. He holds a PhD in Civil Engineering from Dicle University and has made significant contributions through innovative research on topics such as fresh concrete behavior under vibration, prediction models using artificial neural networks, and mold design for precast concrete elements. Aktas’s work is published in reputable journals like Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, showcasing his technical expertise and diverse methodologies. His research employs advanced computational techniques and experimental validations, reflecting a high level of proficiency. Despite his robust contributions, expanding his focus to include interdisciplinary approaches and increasing collaborative efforts could further enhance his impact. Overall, Aktas’s innovative research and technical skills make him a notable candidate for the Research for Best Researcher Award.

Profile

Education

Gultekin Aktas is a distinguished academic with extensive expertise in civil engineering. He completed his PhD at Dicle University, Diyarbakir, Turkey, where he has been associated with the Engineering Faculty since 1995. His educational background in civil engineering has provided him with a solid foundation in structural analysis, computational methods, and practical applications. During his doctoral studies, Aktas focused on advanced topics in structural dynamics and computational modeling, which have significantly influenced his subsequent research. His work integrates theoretical insights with practical challenges, reflecting his deep understanding of both fundamental concepts and real-world engineering issues. Aktas’s ongoing affiliation with Dicle University highlights his commitment to academic excellence and his role in advancing civil engineering knowledge through both teaching and research.

Professional Experience

Dr. Gultekin Aktas is a distinguished academic in civil engineering, holding a position at the Engineering Faculty of Dicle University in Diyarbakir, Turkey, since 1995. His extensive professional experience encompasses a broad range of research and teaching roles. Aktas has focused on innovative areas such as the behavior of fresh concrete under vibration, finite grid solutions for circular plates, and computer-aided design algorithms for precast concrete elements. His research has been published in leading journals, including Structural Engineering and Mechanics and KSCE Journal of Civil Engineering. Aktas’s expertise lies in employing advanced computational methods and theoretical models to address complex engineering problems, reflecting his commitment to both practical and theoretical advancements in structural engineering. His contributions to the field are marked by a strong emphasis on experimental validation and computational analysis, highlighting his significant role in advancing civil engineering research and education.

Research Skills

Gultekin Aktas possesses a diverse set of research skills that underline his expertise in civil engineering. His proficiency in utilizing advanced computational techniques is evident from his work with mass-spring models, artificial neural networks, and finite grid solutions, which he employs to analyze and predict the behavior of structural elements under various conditions. Aktas demonstrates strong technical abilities in developing and validating algorithms for concrete element design and structural dynamic analysis. His research often involves a blend of theoretical modeling and experimental validation, showcasing his capacity to integrate different methodologies to address complex engineering problems. Additionally, his capability to produce high-quality, peer-reviewed publications reflects his thorough understanding of structural engineering principles and computational methods. Aktas’s adeptness at applying both theoretical and practical approaches underscores his comprehensive skill set and contributes significantly to advancements in civil engineering research.

Award and Recognition

Gultekin Aktas has earned notable recognition for his contributions to civil engineering, particularly in the fields of structural dynamics and concrete behavior. His innovative research has been published in leading journals such as Structural Engineering and Mechanics and KSCE Journal of Civil Engineering, underscoring his impact on the field. Aktas’s work, including his studies on the behavior of fresh concrete under vibration and finite grid solutions for circular plates, has significantly advanced understanding and practical applications in structural engineering. Although specific awards or formal recognitions are not listed, his high-quality publications and influential research demonstrate a strong reputation among peers. Aktas’s contributions reflect his dedication to advancing engineering knowledge and solving complex problems, solidifying his standing as a respected researcher in his domain.

Conclusion

Gultekin Aktas is a strong candidate for the Research for Best Researcher Award. His diverse and innovative research contributions to civil engineering, coupled with his technical proficiency and publication record, demonstrate his significant impact in his field. While there are opportunities to broaden his research focus and enhance his collaborative efforts, Aktas’s accomplishments highlight his potential as a leading researcher. His continuous engagement in cutting-edge research and publication makes him a deserving candidate for this prestigious award.

Publications Top Notes

  1. Examination of Precast Concrete Movement Subjected to Vibration Employing Mass-Spring Model with Two Convective Masses
    • Authors: Aktas, G.
    • Journal: Shock and Vibration
    • Year: 2024
    • Citations: 0
  2. Displacement prediction of precast concrete under vibration using artificial neural networks
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2020
    • Volume: 74(4), pp. 559–565
    • Citations: 3
  3. Prediction of behavior of fresh concrete exposed to vibration using artificial neural networks and regression model
    • Authors: Aktas, G., Ozerdem, M.S.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 60(4), pp. 655–665
    • Citations: 11
  4. Investigation of fresh concrete behavior under vibration using mass-spring model
    • Authors: Aktas, G.
    • Journal: Structural Engineering and Mechanics
    • Year: 2016
    • Volume: 57(3), pp. 425–439
    • Citations: 4
  5. A finite grid solution for circular plates on elastic foundations
    • Authors: Karaşin, H., Gülkan, P., Aktas, G.
    • Journal: KSCE Journal of Civil Engineering
    • Year: 2015
    • Volume: 19(4), pp. 1157–1163
    • Citations: 9
  6. Experimental confirmation for the validity of Ritz method in structural dynamic analysis
    • Authors: Aktas, G., Karasin, A.
    • Journal: Journal of Theoretical and Applied Mechanics (Poland)
    • Year: 2014
    • Volume: 52(4), pp. 981–993
    • Citations: 4
  7. Computer-aided mold design algorithm for precast concrete elements
    • Authors: Aktas, G., Tanrikulu, A.K., Baran, T.
    • Journal: ACI Materials Journal
    • Year: 2014
    • Volume: 111(1), pp. 77–87
    • Citations: 7