Big Data Lab @ UniFE

The world of Big Data is a reality widely debated in the academic and industrial world and recently the Industry 4.0 research strand, with the relevant funding at European and Italian level, has further emphasized the need to adopt big data technologies also in the industrial sector.
One of the main objectives of Industry 4.0 is represented by the analysis of the data collected by the production lines in order to optimize the processes – and we can enclose this concept in the well-known term of Big Data Analytics. Modern sensors and connectivity technologies allow to observe even very fine details of the production process, generating huge amounts of data. Logically linking this data to opportunities for improvement and optimization represents one of the most important challenges for the future.
In this context, the activities of our group in the field of Big Data have the main objective of overcoming the limits of the main analytics solutions available on the market, analyzing how to create Big Data platforms of general applicability in Industry 4.0 for the analysis of data from different types of machines at different levels of abstraction (single machine, production line, and multi-line or multi-plant) and contextual storage of the data collected in order to optimize the use of resources.


Mauro Tortonesi



Filippo Poltronieri

Assistant Professor

Simon Dahdal


Luca P. Evangelisti

Research Assistant

Mattia Zaccarini


Industrial Collaborations

Former Collaborators