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Investigador
Jordi Casas-roma
Universidad
UNIVERSITAT AUTÒNOMA DE BARCELONA
Trabajos
26 trabajos publicados.
Último trabajo publicado(2022-11): Recent advances in the longitudinal segmentation of multiple sclerosis lesions on magnetic resonance imaging: a review
Último trabajo publicado(2022-11): Recent advances in the longitudinal segmentation of multiple sclerosis lesions on magnetic resonance imaging: a review
Tecnologías
Machine learning
Graph Mining
Deep learning
Privacy-preserving
Descripcion
He holds a PhD in Computer Science (Universitat Autònoma de Barcelona, UAB, 2014), Master degree on Advanced Artificial Intelligence (Universidad Nacional de Educación a Distancia, UNED, 2011) and Bachelor degree on Computer Science (Universitat Autònoma de Barcelona, UAB, 2002). From September 2009, he is a senior lecturer at the Faculty of Computer Science, Multimedia and Telecommunications at Universitat Oberta de Catalunya (UOC) and also a part-time lecturer at Universitat Autònoma de Barcelona (UAB) since September 2015. He is the director of the Master in Data Science at Universitat Oberta de Catalunya (UOC). His teaching activities mainly concentrate on data mining, machine learning, big data and graph mining.His main research scopes include artificial intelligence, machine learning, graph mining, and big data. Since 2020, he is group leader at ADaS Lab (Applied Data Science Lab) where he investigates the application of artificial intelligence algorithms to real-world problems. He was visiting researcher at the Data Science and Mining (DaSciM) group at the Computer Science Laboratory (LIX) of École Polytechnique (Paris, France).