Jaouad Boudnaya

Jaouad Boudnaya was born in Taounate, Morocco. He earned his engineering degree in Electromechanical Engineering in 2012 from ENSAM, Moulay Ismail University, Meknes, and completed his Ph.D. in Automatics and Dependability in 2017 from the same university in collaboration with the University of Technology of Compiègne in France. Currently, he works as a Safety and Diagnostics Engineer at Stellantis Group, holds a part-time teaching position at ENSAM Meknes, and is an associated member of the research team: Multidisciplinary Engineering and Mechatronic Systems (IMSM), within the Research Laboratory: Mechatronics Mechanics and Control – L2MC. His research interests encompass safety, reliability, and risk analysis, particularly in industrial systems, with a focus on the railway and automotive industries.

Publications

Prediction of Remaining Useful Life of Batteries Using Machine Learning Models
Prediction of Remaining Useful Life of Batteries Using Machine Learning Models
Jaouad Boudnaya, Hicham Laacha, Mohamed Qerras, Abdelhak Mkhida. © 2024. 20 pages.
Predictive maintenance is a maintenance strategy based on monitoring the state of components to predict the date of future failure. The objective is to take the appropriate...