Issam Falih

I am an Associate Professor in Computer Science at ENSEA (Cergy) and a member of the DATA & AI team of the ETIS laboratory (UMR 8051, CY Cergy Paris Université, ENSEA, CNRS). My research focuses on machine learning for complex data — heterogeneous, multi-view, multimodal and streaming. I am particularly interested in domain adaptation, attributed network mining and the explainability of deep models, with applications in e-health, multimodal emotion analysis and the study of chronic pain. Before joining ENSEA, I was an Associate Professor at Université Clermont Auvergne and a member of the LIMOS laboratory.