Thesis of Ihab Bekkaye
Subject:
Multimodal learning from complex data to diagnose electric vehicles according to customer usage
Start date: 03/03/2025
End date (estimated): 03/03/2028
Advisor: Khalid Benabdeslem
Coadvisor: Rémy Cazabet
Summary:
The PhD student's mission is to develop machine learning algorithms to correlate heterogeneous and complex data from electric vehicles and simulations of customer usage.