Gabrielli Lorenzo
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.
Skills:
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.)
- Position
- Researcher
- Affiliation
- Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)
- Room
- C-68
- Floor
- 1
- Gate
- 20
- Phone
- +39 050 621 2934
- Skype
- lorenzo.gabrielli
Projects
Publications
2016
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, “An analytical framework to nowcast well-being using mobile phone data”, International Journal of Data Science and Analytics, vol. 2, pp. 75–92, 2016.
2015
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, “Use of Mobile Phone Data to Estimate Visitors Mobility Flows”, in Software Engineering and Formal Methods, vol. 8938, Springer International Publishing, 2015, pp. 214-226.
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, “Detecting and understanding big events in big cities”, in NetMob, Boston, 2015.
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, “City users’ classification with mobile phone data”, in IEEE Big Data, Santa Clara (CA) - USA, 2015.
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, “Small Area Model-Based Estimators Using Big Data Sources”, Journal of Official Statistics, vol. 31, pp. 263–281, 2015.
2014
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, “Mobility Profiling”, in Data Science and Simulation in Transportation Research, IGI Global, 2014, pp. 1-29.
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, “Use of mobile phone data to estimate visitors mobility flows”, in Proceedings of MoKMaSD, 2014.
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, “Use of mobile phone data to estimate mobility flows. Measuring urban population and inter-city mobility using big data in an integrated approach”, in 47th SIS Scientific Meeting of the Italian Statistica Society, Cagliari , 2014.
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, “Big data analytics for smart mobility: a case study”, in EDBT/ICDT 2014 Workshops - Mining Urban Data (MUD), Athens, Greece, 2014.
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, “The purpose of motion: Learning activities from Individual Mobility Networks”, in International Conference on Data Science and Advanced Analytics, {DSAA} 2014, Shanghai, China, October 30 - November 1, 2014, 2014.