Théo Heitzmann (2022-2025): eXPlainable electric Mobility Liuthium-ion bAttery prognostic for iNtelligent lifetime Extension, funded by the XPLANE région Grand Est and ADEME project
Slimane Arbaoui (2023-2026):Multimodal explainable prediction for industry 4.0 : Application on electric mobility and quality assurance, funded by the Horizon Europe ENERGETIC and the ANR XQUALÌTY projects
Marwa Zitouni (2023-2026): Explainable Knowledge based diagnostic for Lithium-ion Batteries, funded by the Horizon Europe ENERGETIC project
Yusif Imamverdiyev (2023-2026): Prédiction précise des performances des batteries lithium-ion à l’aide d’une approche de modélisation hybride multi-physique et axée sur les données, funded by the ecole doctorale ED269
Qiushi Cao (2017-2020): Semantic Technologies for the Modeling of Distributed Preventive Maintenance for a SME Network in the Framework of Industry 4.0, funded by the interreg halfback project
Ni Xin (2018-2021):Inventive Solutions Retrieval from Patent documents via Natural Language Processing, funded by a chinese scholarship
Ines Jorge (2019-2023): Predictive Prognostics for Lithium-ion Battery for Electric Vehicle Applications, funded by the interreg halfback and vehicle projects
Guillaume Guarino (2019-2022): Extracting knowledge from unstructured texts to populate the inventive design ontology, funded by INSA Strasbourg scholarship