2021-2022

Sîrbu Alina

Alina Sîrbu is Assistant Professor of Computer Science at the university of Pisa and a member of the KDD LAB. She holds a PhD in Computer Science (2011) from  Dublin City University in Ireland. After her PhD she was a postdoctoral researcher at the Institute for Scientific Interchange in Turin, Italy, and at the University of Bologna, Italy. In 2014 she was Visiting Assistant Professor of Computer Science at New York University Shanghai, and in 2017 Visiting Assistant Professor of Computer Science at New York University Abu Dhabi.

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Livieri Giulia

Giulia holds a degree in Mathematics from the University of Padova with a score of 110/110 and attended the “Corso di Alta Formazione in Finanza Matematica” at University of Bologna with the score of 30/30 with laude. Now, she is a postdoctoral researcher at Scuola Normale Superiore, where she obtained her Ph.D. in financial mathematics in October 2017 with the score of 70/70 with laude. Her research focuses on financial econometrics for the modeling of financial markets both at high and low frequency, mean field game and corporate finance. 

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Prencipe Giuseppe

Giuseppe Prencipe is currently Associate Professor at the Department of Computer Science at the University of Pisa. His research interests are mainly on distributed systems, mobile and wearable computing; he has published more than 50 scientific publications on international journals and conference proceedings, and participated in several national and international research projects.

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Advanced topics in network science

Credits: 
1
Hours: 
12
Area: 
Big Data Mining
Description: 

In this course we start from the basic notions of graph theory and self-similar phenomena in order to correctly analyse large socio-economic networks. From this analysis we then proceed in the description of the modelling for various classes of phenomena and to the correct definition of benchmarks through an approach inspired by classical statistical physics.

 

Pappalardo Luca

Born in Salerno (Italy), I earned my PhD in Computer Science at University of Pisa with the thesis "Human Mobility, Social Networks and Economic Development: a Data Science perspective". In my research, I exploit the power of Big Data to study many aspects of human behavior: the patterns of human mobility, the structure and evolution of complex networks, the patterns of success in sports, and the usage of data-driven measures of human behavior to monitor and predict the economic development of countries, cities, and territories.

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Lo Duca Angelica

Angelica Lo Duca is a postdoctoral researcher at the Institute of Informatics and Telematics of the National Research Council of Pisa. In 2012, she received her Ph.D. in Ingegneria dell'Informazione from the University of Pisa. She received her Bachelor's and Master's degrees in Computer Engineering from University of Pisa respectively in 2005 and 2007. Currently, she works at the Web Applications for the Future Internet Laboratory, in the Semantic Web and Data Visualization group.

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Pellungrini Roberto

Born and raised in Viareggio, Tuscany, Roberto Pellungrini is a PhD student in Computer Science at the University of Pisa. His main research interests concern ethical aspects related to Data Science, in particular regarding Privacy issues. Before winning the PhD scholarship, he attained a Master Degree in Business Informatics with a thesis on Assessing Privacy Risk and Quality in Human Mobility Data.

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Social Network Analysis

Credits: 
2
Hours: 
20
Area: 
Big Data Mining
Description: 

This course introduces students to the theories, concepts and measures of Social Network Analysis (SNA), that is aimed at characterizing the structure of large-scale Online Social Networks (OSNs). The course presents both classroom teaching to introduce theoretical concepts, and hands-on computer work to apply the theory on real large-scale datasets obtained from OSNs like Facebook and Twitter.

Comandè Giovanni

Giovanni Comandè (LLM Harvard Law School USA, Ph.D. Scuola Superiore Sant’Anna) is Full Professor of Private comparative law at Scuola Superiore Sant’Anna where he also studied as ordinary student.

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