Daniele Fadda

Daniele Fadda is a Research Fellow at the Istituto di Scienza e Tecnologie dell'Informazione (ISTI), part of the National Research Council of Italy (CNR). His work focuses on the intersection of data science, mobility analysis, and visualization techniques, with significant contributions to understanding human movement patterns during the COVID-19 pandemic.

He earned his Master Degree in Communication Design from Politecnico di Milano in 2010 (achieving top honors: 110/110) and later completed a Master of Science in Big Data Analytics and Social Mining from the University of Pisa in 2015.

Fadda's research centers on Mobility Data Analysis, Data Visualization for complex systems, and Visual Analytics methods for Big Data. His work applies advanced data mining techniques to urban mobility patterns and pandemic response strategies. Recent publications demonstrate his focus on explainable privacy assessment for location data and visualization of educational performance indicators. His research has practical applications in urban planning, public health policy, and educational assessment systems.

Fadda is actively affiliated with the KDD Lab, a joint research facility between CNR and the University of Pisa, which has collaborated with major institutions including Windtre, the Italian National Institute of Health (ISS), and the Bruno Kessler Foundation on critical pandemic response research. His work often appears in prominent venues for data science and complex systems analysis, demonstrating consistent scholarly output from 2016 to the present.