Équipe Dynamique des Système et adaptivité (eAdapt) : SELLAL Feriel Amel

Thématiques de recherche : My research focuses on applying artificial intelligence to energy and mobility systems with a strong emphasis on sustainability and human-centered optimization. I work on improving electric vehicle autonomy by modeling driver behaviors, and on advancing smart building energy management through predictive and adaptive automation. I have also explored edge-based reinforcement learning to optimize indoor environmental quality, striking a balance between energy efficiency and occupant comfort. More broadly, I am interested in developing explainable and trustworthy AI that can support real-world decision-making,

Points forts des activités de recherche :