Researcher Jordi Casas Roma's R&I work focuses on data privacy, graph mining and machine learning.
His main research interests are data anonymization models and their applicability in subsequent graph mining processes or generally in data mining or machine learning processes. As many of these models apply to data obtained from social media, data analysis in graph format (social network analysis, SNA) is also one of the researcher’s interests. Finally, another focus of interest is big data anonymization.
He is a member of the K-riptography and Information Security for Open Networks (KISON) research group at the UOC.