Guidotti Riccardo

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Riccardo Guidotti was born in 1988 in Pitigliano (GR) Italy. In 2013 and 2010 he graduated cum laude in Computer Science (MS and BS) at University of Pisa. He received the PhD in Computer Science with a thesis on Personal Data Analytics in the same institution. He is currently a post-doc researcher at the Department of Computer Science University of Pisa, Italy and a member of the Knowledge Discovery and Data Mining Laboratory (KDDLab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. He won the IBM fellowship program and has been an intern in IBM Research Dublin, Ireland in 2015. His research interests are in personal data mining, clustering, explainable models, analysis of transactional data.
Topics: 
Personal Anaytics
Explainable Models
Clustering
Analysis of Transactional Data
IBM Fellowship Award 2014
ISTI Young Researcher Award 2016
ISTI Young Researcher Award 2017
2017 PhD in Computer Science at University of Pisa
2014 CAE - Cambridege English Certificate
2013 Master Degree in Computer Science at University of Pisa with 110/110 cum laude
2012 FCE - Cambridege English Certificate
2010 Bachelor Degree in Computer Science at University of Pisa with 110/110 cum laude
"... na volta si diceva i dati so' tanti ... adesso si dice BigData ..."
"e sei un particolare dentro il quadro generale che vorrebbero ma non possono ignorare"
Position
Post Doc
Affiliation
Istituto di Scienza e Tecnologie dell’Informazione, National Research Council of Italy (ISTI-CNR)
Room
C-61A
Floor
1
Gate
20
Phone
0503153004
Email
Skype
ric.guidotti
Google Scholar
Riccardo Guidotti on Google Scholar
DBLP
Riccardo Guidotti on DBLP
Scopus
Riccardo Guidotti on Scopus
LinkedIn
Riccardo Guidotti on LinkedIn
Facebook
Riccardo Guidotti on Facebook
Twitter
Riccardo Guidotti on Twitter

Publications

2017

2016

Pages

Blog

image via Pixabay, CC0 Creative Commons

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

At the Internet Festival 2017 in Pisa, Riccardo Guidotti shows his study on the shopping karts at the Research Jam Session.

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

Mining a large number of datasets recording human activities for making sense of individual data is the key enabler of a new wave of personalized knowledge-based services.

The first issue of the ISTI News newsletter features the paper "Going beyond GDP to nowcast well-being using retail market data" by Riccardo Guidotti and Dino Pedreschi and the ISTI Young Researcher Award