2019-2020

Postdoctoral Research Fellow at the High Performance Computing Lab at the ISTI-CNR. PhD in Computer Science at the Federal University of Pernambuco, ­with joint supervision by the University of Pisa. Current research topics include machine learning techniques applied to mobility data for the development of Smart Mobility applications. He has actively collaborated in several Research European Projects involving different areas of Computer Science such as Data Mining, Distributed Computing, and Cloud Computing.

Dino Pedreschi is a Professor of Computer Science at the University of Pisa, and a pioneering scientist in mobility data mining, social network mining and privacy-preserving data mining. He co-leads with Fosca Giannotti the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and the Information Science and Technology Institute of the Italian National Research Council, one of the earliest research lab centered on data mining. His research focus is on big data analytics and mining and their impact on society.

Anna Monreale is an Associate Professor at the Computer Science Department of the University of Pisa and a member of the Knowledge Discovery and Data Mining Laboratory (KDD-Lab), a joint research group with the Information Science and Technology Institute of the National Research Council in Pisa. She has been a visiting student at Department of Computer Science of the Stevens Institute of Technology (Hoboken, NewJersey, USA) (2010).

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.

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. 

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.