Trasarti Roberto

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Roberto Trasarti was born in 1979 in Italy. He graduated in Computer Science in 2006, at the University of Pisa. He discussed his thesis on ConQueSt: a Constraint-based Query System aimed at supporting frequent patterns discovery. He started the Ph.D. in Computer Science at the School for Graduate Studies "Galileo Galilei", (University of Pisa). In June 2010 he received his Ph.D. presenting the thesis entitled "Mastering the Spatio-Temporal Knowledge Discovery Process". He is currently a member of ISTI-CNR, and also a member of Knowledge Discovery and Delivery Laboratory. His interests regard Data mining, Spatio-Temporal data analysis, Artificial intelligence, Automatic Reasoning.
Topics: 
Research Infrastructure
Data Mining
Mobility Data Analysis
Data Mining Query Languages
Distributed System and Technologies
Data Privacy
Automatic Reasoning
2011 ISTI-CNR Young Researcher Award
Coordinator of SoBigData RI (www.sobigdata.eu)
2007 Master Degree in Computer Science at University of Pisa with 105/110
2010 PhD in Computer Science at University of Pisa
“Life is like riding a bicycle. To keep your balance, you must keep moving.” ― Albert Einstein
Position
Researcher
Affiliation
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)
Room
C68b
Floor
1
Gate
20
Email
Skype
roberto.trasarti
Homepage
Google Scholar
Roberto Trasarti on Google Scholar
DBLP
Roberto Trasarti on DBLP
Facebook
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Publications

2017

2016

Pages

Blog

ISTI News March 2018

On the third issue of the ISTI News newsletter you'll find the paper "MyWay: location prediction via mobility profiling" by Roberto Trasarti, Riccardo Guidotti, Anna Monreale, Fosca Giannotti and "An anal

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.

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.

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.

MyWay, a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements.

MyWay, a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements.

MyWay, a prediction system which exploits the individual systematic behaviors modeled by mobility profiles to predict human movements.

ISTI News June 2017

On the second issue of the ISTI News newsletter you'll find a description of the new Ph.D.