13:00-13:30 – “Developing Data-Driven O&M Policy through Sequential Pattern Mining: A case study”, Rafael Paiva (Visiting PhD student, UFPE/Brazil)
13:30-14:00 – « AI-based Data Augmentation for Lithium-Ion Batteries State-of-Health Prediction: Application to Hydrogen Power Generators« , Soufian Echabarri (PhD student, EODev group/CRAN)