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Ms. Yattou EL FADILI | Renewable energy | Best Researcher Award

Mr at Faculty of Sciences Dhar El Mahraz, Fez, Morocco

Yattou El Fadili is a dedicated doctoral student at the Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University in Fez, Morocco. With a strong foundation in physics, she is passionate about renewable energy technologies, particularly in the area of wind turbine control. Yattou is recognized for her commitment to advancing energy solutions that are sustainable and efficient. She actively contributes to research initiatives, collaborating with fellow scholars and engaging in interdisciplinary projects aimed at enhancing energy conversion systems. Through her academic pursuits, Yattou strives to address global energy challenges and promote environmentally friendly technologies.

Publication Profile

Education📚🎓

Yattou El Fadili earned her B.Sc. in Physics with an emphasis on Electronics in 2019, followed by an M.Sc. in Microelectronics, Signals, and Systems in 2021, both from the Faculty of Sciences Dhar El Mahraz at Sidi Mohamed Ben Abdellah University. Currently pursuing her Ph.D., she is enrolled in the Computer Science, Signal, Automation, and Cognitivism Laboratory at the same institution. Her educational journey reflects a commitment to mastering complex concepts in physics and engineering, equipping her with the necessary skills to tackle contemporary challenges in renewable energy systems.

Experience🔬🔧

As a doctoral student, Yattou El Fadili is engaged in cutting-edge research at the Faculty of Sciences in Fez, Morocco. Her academic background includes a comprehensive understanding of wind turbine control, robust stability, and singular systems. She has participated in various research projects focused on wireless power transmission and controller design. Yattou’s involvement in these projects allows her to apply theoretical knowledge to practical applications, enhancing her expertise in energy conversion systems and preparing her for a career dedicated to innovative energy solutions.

Awards and Honors 🏆🌍

Yattou El Fadili has received several accolades during her academic journey, recognizing her contributions to the fields of physics and renewable energy. Notably, she was awarded the best student award during her B.Sc. studies for her outstanding performance and dedication to learning. Additionally, she has been acknowledged for her research efforts at conferences and seminars, where her work on modeling and control of wind turbine energy conversion systems was presented. These achievements reflect her commitment to excellence and innovation in her field.

Research Focus 🔋🌪️

Yattou El Fadili’s research primarily revolves around renewable energy, with a particular emphasis on modeling and controlling wind turbine energy conversion systems. She explores robust stability, Lyapunov stability theory, and uncertain systems to develop effective controller designs and state-feedback control methods. Her work also encompasses the design of rectenna systems for wireless power transmission. By focusing on these critical areas, Yattou aims to contribute to the advancement of sustainable energy solutions and improve the efficiency of wind energy technologies.

Conclusion

Yattou El Fadili possesses a strong foundation and relevant expertise in renewable energy research, particularly in wind energy systems. Her educational background, diverse research interests, and active involvement in the academic community are significant strengths that support her candidacy for the Best Researcher Award. By focusing on increasing her publication output, broadening her research impact, engaging with the community, and fostering interdisciplinary collaborations, Yattou can further enhance her profile and contribution to the field. Recognizing her with the Best Researcher Award would not only honor her achievements but also encourage her continued contributions to renewable energy innovation.

Publication  Top Notes

  • A Novel Combination of Sliding Mode, Fractional Calculus, and Genetic Algorithm to Improve the Performance of a Controller in a Wind Power Application
    • Conference: 2024 International Conference on Circuit, Systems and Communication (ICCSC 2024)
    • Year: 2024
    • Type: Conference Paper
    • DOI: 10.1109/ICCSC62074.2024.10616435
    • EID: 2-s2.0-85201288677
    • ISBN: 9798350365306
    • Contributors: Yattou El Fadili, B. Youssef, B. Ismail
  • An Advanced Control Law Combining Sliding Mode and Fractional Calculus for Wind Energy Conversion Systems
    • Source: Lecture Notes in Networks and Systems
    • Year: 2024
    • Type: Book Chapter
    • DOI: 10.1007/978-3-031-68675-7_42
    • ISBN: 9783031686740, 9783031686757
    • ISSN: 2367-3370, 2367-3389
    • Contributors: Yattou El Fadili, B. Youssef, I. Boumhidi
  • Improved Sliding Mode Control Law for Wind Power Systems
    • Journal: International Journal of Dynamics and Control
    • Year: 2024
    • Type: Journal Article
    • DOI: 10.1007/s40435-024-01431-6
    • EID: 2-s2.0-85192023828
    • ISSN: 21952698, 2195268X
    • Contributors: Yattou El Fadili, Y. Berrada, I. Boumhidi
  • Novel Control Strategy for the Global Model of Wind Turbine
    • Journal: International Journal of Electrical and Computer Engineering
    • Year: 2024
    • Type: Journal Article
    • DOI: 10.11591/ijece.v14i1.pp258-267
    • EID: 2-s2.0-85183675868
    • ISSN: 20888708
    • Contributors: Yattou El Fadili, Y. Berrada, I. Boumhidi
  • Robust State‐Feedback Controller of Uncertain Systems Based on Non‐Monotonic Approach
    • Journal: International Journal of Adaptive Control and Signal Processing
    • Year: 2024-10-10
    • Type: Journal Article
    • DOI: 10.1002/acs.3922
    • Contributors: Yattou El Fadili, B. Boukili, M. N’Diaye, I. Boumhidi
  • Optimal Controller Design for Wind Turbine Using Sliding Sector and Genetic Algorithms
    • Source: E3S Web of Conferences
    • Year: 2023
    • Type: Conference Paper
    • DOI: 10.1051/e3sconf/202346900006
    • EID: 2-s2.0-85182939081
    • ISSN: 22671242, 25550403
    • Contributors: Yattou El Fadili, Y. Berrada, I. Boumhidi
  • Robust H∞ Performance of Uncertain System Based on Lyapunov Functions Using Non-Monotonic Terms
    • Conference: 2022 10th International Conference on Systems and Control (ICSC 2022)
    • Year: 2022
    • Type: Conference Paper
    • DOI: 10.1109/ICSC57768.2022.9993850
    • EID: 2-s2.0-85146487981
    • ISBN: 9781665465076
    • Contributors: Yattou El Fadili, A. Hmamed, B. Boukili, I. Boumhidi
Yattou EL FADILI | Renewable energy | Best Researcher Award

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