BSc in Computer Science at the University of Trento, MSc in Bioinformatics, and PhD at the Department of Computer Science and Engineering (DISI), University of Bologna. Member of the Focus Research Team at INRIA and the SPACES research group. In 2019, He completed his PhD supervised by Professor Maurizio Gabbrielli and Professor Ivan Lanese . The research focused on the exploitation of Microservices-Oriented Computing in the development of interoperable application for Internet of Things systems. Currently, He is involved in a Post-Doctoral position at DISI. The project aims to take advantage of Machine Intelligence techniques and Edge Computing to accomplish proper virtualization and to achieve optimal workload mobility of software components in Industrial Internet of Things (IIoT) settings.
The course provides an overview on the Machine learning field, with a particular emphasis on
symbolic learning techniques (sub symbolic techniques will be covered by the course on Neural Networks).
The main learning problems and paradigms will be introduced along with examples explaining how to
use the learned models into decision support systems.
Application areas that will be covered have industrial impact in fields as automotive, energy management,
predictive maintenance and policy making.
The course will cover both lectures and hands-on sessions.