Youssef NAIT MALEK is a Lecturer (MC) at Ecole Normale Supérieure de Marrakech (ENS), Cadi Ayyad University. He holds a PhD in Computer Science from ENSIAS, Mohamed V University, Rabat (March 2023), where he developed machine learning algorithms for speed forecasting and driving range in BEVs/PHEVs under the HELECAR project, and contributed to a monitoring platform for the MIGRID and CASANET projects at the International University of Rabat.
His research focuses on Internet of Things, Embedded Systems, smart cities and Machine Learning applications.
PhD Computer Science
ENSIAS,Mohamed V University.
MS Networking and Embedded Systems
Faculty of Science, Moulay Ismail University.
BS LPQME in Computer Science
Ecole Normale Supérieure (ENS), Cadi Ayyad University
BS Computer Science (LPI)
Faculty of Science (FSSM), Cadi Ayyad University.
Currently, I work in precision agriculture, aiming to develop new approaches for smart and efficient irrigation systems based on IoT and machine learning technologies.
I also collaborate with colleagues on other topics, such as smart cities and smart transportation systems.
In this research, a dataset on electric vehicle (EV) usage in Morocco is presented to address challenges like limited driving range and inadequate charging infrastructure. …
In this research, an energy management platform using IoT and big data optimizes EV battery use through accurate speed prediction. A multivariate LSTM algorithm, tested on …
In this paper, a battery State-of-Charge (SoC) forecasting method is proposed to address electric vehicle (EV) driving range concerns in Morocco. Tested on Rabat-Salé-Kénitra roads …
