Main Research Activities
The thesis research is part of the MAIA project directed by Professor Alejandro A. Franco. This thesis project aims to develop artificial intelligence models to predict the heterogeneous performance of lithium-ion battery electrodes. It will be carried out in collaboration between CRIL and LRCS, thus exploiting expertise in AI and electrochemical modelling. The aim is to optimise electrode operation while reducing computing time. Experimental validations will be carried out to confirm the predictions. This research will also contribute to improving the methods used to explain machine learning models.Academic Training
Master in computer technology (North China University of Technology, China, 2020-2023, Beijing Key Laboratory on Large-Scale Flow Data Integration and Analysis, Prof. Weilong Ding, Research and implementation of a deep learning-based fault prediction method for power grid equipment)
Professional skills
Master en technologie informatique (Université de technologie de Chine du Nord, Chine, 2020-2023, Laboratoire clé de Pékin sur l'intégration et l'analyse des données de flux à grande échelle, Prof. Weilong Ding, Recherche et mise en œuvre d'une méthode de prédiction des pannes basée sur l'apprentissage profond pour les équipements du réseau électrique)
Running Projects
MAIA
