Ms. Jawhara El Hmidi | Structural Engineering | Women Researcher Award
Faculty of Sciences | Sidi Mohamed Ben Abdellah University | Morocco
EL HMIDI Jawhara, 27, is a Moroccan PhD candidate and engineer specializing in Embedded Systems and Industrial Computing. She is currently pursuing her doctorate at the SIGER Laboratory (FST & ENSA, Morocco), focusing on the architecture and optimization of intelligent embedded chargers for electric vehicles. Her academic journey began with a Scientific Baccalaureate in Mathematics (2015), followed by integrated preparatory classes (2015–2017) and an engineering degree in Embedded Systems and Industrial Informatics from ENSA Fez (2020). Professionally, she has gained significant experience as an Electrical/Electronic Architect at STELLANTIS (2020–2022), where she contributed to the design of REPAS vehicle functions, optimizing ECU wake-up/sleep modes and system power supply control. She also completed internships at LEAR Corporation, ALTEN, and CBGN, where she worked on ISO 26262 functional safety compliance, real-time monitoring tools, and industrial automation. In parallel with her research, she has established herself as a dedicated lecturer, teaching across Faculté des Sciences et Techniques de Fès, Euro-Mediterranean University of Fez, and the Private University of Fez. She has taught courses such as Parallel Computing, Human-Machine Interfaces, Advanced 32-bit Microcontrollers, Parallel Programming, SoC/SoPC, and DSP systems, with teaching loads exceeding 200 hours annually. Her dual expertise in academic research and industrial practice positions her as a promising researcher and educator in the fields of intelligent embedded systems, automotive electronics, and next-generation computing architectures. She embodies a strong balance of technical innovation, teaching excellence, and applied engineering experience, making her a valuable contributor to both academia and industry.
Profile: ORCID
Featured Publications
” Optimization approach of LLC resonant converter parameters for electric vehicles based on interior-point algorithm”