BENAZZOUZ Younes
Doctorant
Benazzouz Younes is a PhD student whose research focuses on the modeling and electromagnetic simulation of multilayer planar PCB micro planar coils for power electronics applications. His work emphasizes the development of compact and reliable models supported by numerical simulations and experimental validation, enabling efficient and practical design methodologies.
In parallel with his doctoral research, he is actively involved in teaching and scientific training, delivering courses in data analysis, statistics, open-source software, machine learning, computer vision, and Arduino-based systems.
Beyond academia, he works as a graphic designer, collaborating with national and international companies on visual identity, branding, and digital design projects, including Siine DZ and Snai3i. His profile reflects combination between engineering research, teaching, and design experience.
In parallel with his doctoral research, he is actively involved in teaching and scientific training, delivering courses in data analysis, statistics, open-source software, machine learning, computer vision, and Arduino-based systems.
Beyond academia, he works as a graphic designer, collaborating with national and international companies on visual identity, branding, and digital design projects, including Siine DZ and Snai3i. His profile reflects combination between engineering research, teaching, and design experience.
Latest work
Conception d'une bobine planaire spirale multicouches
Younes BENAZZOUZ
In progress, Université d'Oran 2 - Mohamed Ben Ahmed
Younes Benazzouz, Djilalia Guendouz
Vojnotehnički Glasnik, 2026
Data-Driven Solar Panels Power Prediction: Model Comparison Including Hyperparameter Tuning Process
Younes Benazzouz, Djilalia Guendouz
The 1st International Conference on Applications and Technologies of Renewable Energy Systems (ICATRES2024), 2024
A Python-Based Framework for Synthetic Four-Vertex Planar Coils Shape Dataset Generation
Younes Benazzouz, Djilalia Guendouz
Proceedings of the 1st International Conference on Industrial Maintenance and Production Engineering (ICIMPE'2024), 2024
Detecting Solar Panel Hotspots and Diode Failures with Thermal Cameras and Deep Learning
Younes Benazzouz, Djilalia Guendouz
The first national conference on energy and its applications (CNEA2024), 2024
Benchmarking YOLOv10 Variants for Solar Panel Surface Defect Detection with Low Epoch Training
Younes Benazzouz, Djilalia Guendouz
The 1st National Conference of Advanced Systems in Electrical Engineering (NCASEE'24), 2024
A computer vision approach with OpenCV and deep learning for determining inductance in planar coils
Younes Benazzouz, Djilalia Guendouz
Vojnotehnički Glasnik, 2024