Davide Eynard

Davide Eynard is a researcher at the Institute of Computational Science, Faculty of Informatics, Università della Svizzera italiana (USI). He received both MS and PhD in computer engineering from Politecnico di Milano, Italy, and he has worked as a postdoc both at Politecnico di Milano and at the Institute of Technologies for Communications at the Faculty of Communication Sciences at USI. His research activity has always dealt with knowledge at different levels: how it can be formalized and collectively produced (Description Logics, Social Semantic Web), how it can be extracted from unstructured or semi-structured data (Social Web mining, ontology extraction from text), and how it can be exploited to make sense of vast amounts of information (machine learning, pattern recognition). His current work focuses on the concept of similarity between objects, its extension to different modalities/views and its application to problems in shape analysis, image processing, and machine learning.