Lorenzo Gabrielli was born in 1984 in Italy. He graduated in Business Informatics in 2010 at the University of Pisa. He discussed his thesis on Mobility Data Analysis: “A Case Study of the Milan area”. Currently he is a Research Fellow at ISTI-CNR as member of Knowledge Discovery and Delivery Laboratory. His interests regard mobility data mining with heterogeneous data as detecting urban mobility patterns and anomalies, study individual and collective mobility behavior, semantic enrichment of movements, study of the capability of public transport to attract private vehicular trips.
Experience in analysis of Big Data with data mining tools. Good knowledge of programming languages (especially Java and Python), spatio - temporal data mining and network tools (Weka, Clementine, Knime, M-Atlas, Cytoscape, etc.). Excellent experience in managing geospatial databases. Four years of work experience in the study of data from heterogeneous sources (GPS, GSM, Social Network, Censual, etc.)
On the fifth issue of the ISTI News newsletter you'll find the project Track&Know, the papers "A survey of methods for explaining black box models" by Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri,
The increasing availability of large amounts of data and digital footprints has given rise to ambitious research challenges in many fields, which spans from medical research, financial and commercial world, to people and environmental monitoring.