Abdelilah Et-Taleby

Assistant Professor
ESME

Overview of research area

The research of Abdelilah Et-Taleby focuses on advanced fault detection and classification in photovoltaic systems, employing techniques such as machine learning, image processing, thermal imaging, and real-time implementation on embedded systems.

Short biography

Abdelilah ET-TALEBY earned his PhD in Electrical Engineering and Embedded Systems from Sidi Mohammed Ben Abdellah University in 2024. His doctoral research specialized in innovative techniques for detecting and classifying faults in PV systems. With over three years of experience, he also worked as an embedded systems engineer for multinational companies in the automotive sector. Abdelilah has published multiple scientific articles on the use of image processing and machine learning to improve the detection and classification of defects in PV systems. Since 2025, he has joined ESME Sudria as an associate professor in Embedded Systems.

Publications

• C. Elwely Salem, A. Et-Taleby, Y. Chaibi, N. Ayadi, B. Elkari, M. Benslimane, and Z. Chalh, Exploring DC Microgrid: Advanced Applications and Their Control Strategies, Energy 360, Volume 3, 100019, 2025.
• A. Et-taleby, Y. Chaibi, N. Ayadi, B. Elkari, M. Benslimane, and Z. Chalh, Enhancing fault detection and classification in photovoltaic systems based on a hybrid approach using fuzzy logic algorithm and thermal image processing, Scientific African, Volume 28, e02684, 2025.
• N. Ayadi, A. Et-taleby, Y. Chaibi, C. Elwely Salem, M. Benslimane, and Z. Chalh, Photovoltaic hotspot fault detection based on detectron2 with faster R-CNN, 3rd International Conference on Embedded Systems and Artificial Intelligence (ESAI), pp. 1-12, Fez, Morocco, December 2024.
• N. Ayadi, A. Et-taleby, C. Elwely Salem, Y. Chaibi, M. Benslimane, and Z. Chalh, Analysis of the Faults Impact on Current and Voltage Characteristics of Photovoltaic Solar Systems, 6th Global Power, Energy and Communication Conference (GPECOM), pp. 362-367, Budapest, Hungary, June 2024
• A. Et-taleby, Y. Chaibi, B. Elkari, M. Benslimane, and Z. Chalh, Detection and Classification of Faults in PV Systems Based on Thermal Imaging and Fuzzy Logic Algorithm, The 2nd edition of the International Conference on Electrical Systems & Automation (ICESA 2023), pp. 91-95, Al Hoceïma, Morocco, April 2023
• A. Et-taleby, Y. Chaibi, M. Benslimane, and M. Boussetta, Applications of Machine Learning Algorithms for Photovoltaic Fault Detection: a Review, Statistics, Optimization & Information Computing, Volume 11, Issue 1, pp. 168-177, January 2023
• Y. Chaibi, A. Et-taleby, B. Elkari, Z. Chalh, and M. Benslimane, An Experimental Assessment of the Single-and Double-Diode Models: The Possibility of a Hybrid Approach, The 2nd edition of the International Conference on Electrical Systems & Automation (ICESA 2023), pp. 77-83, Al Hoceïma, Morocco, April 023
• A. Et-taleby, Y. Chaibi, A. Allouhi, M. Boussetta, and M. Benslimane, A combined convolutional neural network model and support vector machine technique for fault detection and classification based on electroluminescence images of photovoltaic modules, Sustainable Energy, Grids and Networks, Volume 32, p. 100946, December 2022.
• A. Et-taleby, Y. Chaibi, M. Boussetta, A. Allouhi, and M. Benslimane, A novel fault detection technique for PV systems based on the K-means algorithm, coded wireless Orthogonal Frequency Division Multiplexing and thermal image processing techniques, Solar Energy, Volume 237, pp. 365-376, May 2022.
• M. Boussetta and A. Et-taleby, Evaluation of the Wind Energy Potential in Morocco, Alternative Energy Resources in the MENA Region, Volume 131, pp. 213-228, Springer
• A. Et-taleby, M. Boussetta, and M. Benslimane, Faults Detection for Photovoltaic Field Based on K-Means, Elbow, and Average Silhouette Techniques through the Segmentation of a Thermal Image, International Journal of Photoenergy, Volume 2020, Issue 1, p. 6617597, December 2020.

• 2019-2024

  PhD in Electrical Engineering and Embedded Systems

  Sidi Mohammed Ben Abdellah University, Faculty of Sciences and Techniques, Fez, Morocco
• 2017-2019

  Master in Intelligent Systems and Energy

  Sidi Mohammed Ben Abdellah University, Faculty of Sciences and Techniques, Fez, Morocco
• 2014-2017

  Bachelor’s Degree in Electrical Engineering

  Sidi Mohammed Ben Abdellah University, Faculty of Sciences and Techniques, Fez, Morocco

Assistant Professor in Embedded Systems

• 2025

  Assistant Professor in Embedded Systems

  ESME, Ivry-sur-Seine, France
• 2024-2025

  Embedded Systems Engineer

  Adentis, Annemasse, France
• 2022-2023

  Embedded Systems Engineer

  Lear Corporation, Rabat, Morocco
• 2022-2023

  Embedded Systems Engineer

  Alten, Rabat, Morocco