Ms. Yattou El Fadili |Renewable energy| Best Researcher Award

Sidi Mohamed Ben Abdellah University, Morocco

Ms. Yattou El Fadili is a distinguished academic and researcher at Sidi Mohamed Ben Abdellah University. Renowned for her contributions to [specific field or specialization], she has played a pivotal role in advancing knowledge and fostering academic excellence. Her work emphasizes [key area of expertise or research interest], and she is committed to both innovation and the dissemination of knowledge within the academic community. Ms. El Fadili continues to inspire students and peers through her dedication to education and research.

Summary:

Ms. Yattou El Fadili is a Doctoral student at the Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University in Fez, Morocco. Her research interests are centered on renewable energy, wind turbine control, robust stability, and advanced control systems. Specifically, she has focused on areas such as singular systems, wireless power transmission, rectenna systems, Lyapunov stability theory, and uncertain systems. Her contributions to the field, especially in state-feedback control and controller design, demonstrate her expertise and dedication to solving complex engineering problems.

 

Professional Profiles:

 Google Scholar

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🎓 Education :

Yattou El Fadili earned her B.Sc. in Physics with an Electronic Option in 2019 and completed her M.Sc. in Microelectronics, Signals, and Systems in 2021, both from the Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University of Fez, Morocco. She is currently pursuing a Ph.D. in the field of Computer Science, Signal, Automation, and Cognitivism at the same institution, focusing on the modeling and control of wind turbine energy conversion systems.

🏢 Experience:

Yattou El Fadili is a Doctoral Student at the Computer Science, Signal, Automation, and Cognitivism Laboratory at the Faculty of Sciences, Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco. Her research activities are centered on renewable energy, wind turbine control, and the application of advanced controller design methods, such as Lyapunov stability theory and robust stability for uncertain systems.

🛠️Skills:

Renewable Energy Systems (especially Wind Turbines),Wind Turbine Control,Robust Stability and Singular Systems,Wireless Power Transmission and Rectenna Systems,Lyapunov Stability Theory,Controller Design and State-Feedback Control,Uncertain Systems and Singular Systems

 

Research Focus :

Her research focuses on modeling and controlling wind turbine energy conversion systems, aiming to improve energy efficiency and stability through advanced mathematical techniques and intelligent control strategies. She also explores how to integrate cutting-edge technologies, such as genetic algorithms, with traditional sliding mode control and fractional calculus, to enhance the performance of renewable energy systems.

 

🔬Awards:

Presentation of the paper “Intelligent controller using genetic algorithm applied on wind energy conversion systems” at the International Conference on Intelligent Computing in Data Sciences (ICDS) in Marrakech, Morocco, October 2024.,Presentation of “An Advanced Control Law Combining Sliding Mode and Fractional Calculus for Wind Energy Conversion Systems” at the International Conference on Digital Technologies and Applications (ICDTA) in Benguerir, Morocco, August 2024.,Presentation of the paper “A novel combination of Sliding Mode, Fractional Calculus, and Genetic Algorithm to improve the performance of a controller in a wind power application” at the International Conference on Circuit, Systems, and Communication (ICCSC) in Fez, Morocco, June 2024.,Presentation of “Robust $H_{\infty}$ performance of uncertain systems based on Lyapunov functions using nonmonotonic terms” at the 10th International Conference on Systems and Control (ICSC) in Marseille, France.

 

Conclusion:

Ms. Yattou El Fadili has demonstrated outstanding potential as a researcher in the fields of renewable energy and control systems. Her ability to blend theoretical frameworks with practical applications, particularly in the areas of wind turbine control and robust stability, sets her apart as a promising candidate for the Best Researcher Award. However, to fully optimize her recognition and impact, it would be beneficial for her to focus on increasing her publication output and expanding her professional network.

 Publications:

  • Publication: Optimal controller design for wind turbine using sliding sector and genetic algorithms
    Authors: Y El Fadili, Y Berrada, I Boumhidi
    Journal: E3S Web of Conferences 469, 00006
    Year: 2023
    Citations: 6

 

  • Publication: Novel control strategy for the global model of wind turbine
    Authors: Y El Fadili, B Youssef, B Ismail
    Journal: International Journal of Electrical and Computer Engineering (IJECE) 14 (1)
    Year: 2024
    Citations: 5

 

  • Publication: Robust performance of uncertain system based on Lyapunov functions using non–monotonic terms
    Authors: Y El Fadili, A Hmamed, B Boukili, I Boumhidi
    Conference: 2022 10th International Conference on Systems and Control (ICSC), 256-262
    Year: 2022
    Citations: 5

 

  • Publication: Improved sliding mode control law for wind power systems
    Authors: Y El Fadili, Y Berrada, I Boumhidi
    Journal: International Journal of Dynamics and Control, 1-12
    Year: 2024
    Citations: 4

 

  • Publication: A novel combination of Sliding Mode, Fractional Calculus, and Genetic Algorithm to improve the performance of a controller in a wind power application
    Authors: Y El Fadili, B Youssef, B Ismail
    Conference: 2024 International Conference on Circuit, Systems and Communication (ICCSC), 1-6
    Year: 2024
    Citations: 3

 

  • Publication: An Advanced Control Law Combining Sliding Mode and Fractional Calculus for Wind Energy Conversion Systems
    Authors: Y El Fadili, Y Berrada, I Boumhidi
    Conference: International Conference on Digital Technologies and Applications, 444-453
    Year: 2024
    Citations: 3

 

  • Publication: Robust State‐Feedback Controller of Uncertain Systems Based on Non‐Monotonic Approach
    Authors: Y El Fadili, B Boukili, M N’Diaye, I Boumhidi
    Journal: International Journal of Adaptive Control and Signal Processing
    Year: 2024
    Citations: 2

 

  • Publication: New design of an intelligent electromagnetic torque controller based on neural network and fractional calculus: variable-speed wind energy systems application
    Authors: ELF Yattou, B Ismail
    Journal: e-Prime – Advances in Electrical Engineering, Electronics and Energy
    Year: 2024

 

  • Publication: e-Prime-Advances in Electrical Engineering, Electronics and Energy
    Authors: Y El Fadili, I Boumhidi
    Year: 2024

 

Yattou El Fadili |Renewable energy| Best Researcher Award

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