Overview
Born in Catania in 1984, he holds a Master degree in Electronic engineering with specialization in automation and control of complex systems and a PhD in Computer Science.
He started his career in the research sector in the I.N.F.N. (National Institute for Nuclear Physics) involved in the development and implementation of control boards and software systems for Data Acquisition and real time monitoring of data acquired from hundreds of underwater optical and acoustic sensors.
Hired by e-Distribuzione, the Italian DSO (Distribution System Operator) in 2010, he entered the energy distribution sector, managing development projects of the MV/LV electrical grid, analysing and supervising the energy flow utilising Data remotely acquired and ingested into a control and monitoring system as well as supporting the implementation of distributed smart sensors for smart grid projects.
From 2014 to 2017 he worked in the renewable energy sector, for Enel Green Power, as member of the Global Control and monitoring systems unit, managing projects on SCADA systems, Control and Monitoring Rooms development, design and implementation of digital tools for O&M business operators.
Since 2018 he joined the Global Digital Solution unit of Enel, as Digital Manager, leading Digital Transformation, managing digital projects and platforms, dealing with solutions design, coordination of SW development teams in both approaches, Agile and Waterfall, in compliance with the digital strategy. In addition, as Digital Innovability Leader, he aims at transforming innovative ideas into competitive solutions and open to new business models.
From December 2016 he has been selected as Fellow of Enel Foundation, dealing with research projects in the technology sector, with focus on Big Data, Robotics and Artificial Intelligence.
Fabio's Fellowship research proposes: A novel, comprehensive, and innovative approach in order to automate the inspection and prognostic procedure as well as optimize and execute the daily operation and maintenance activities defining the “plant supervisor of the future”, an autonomous and smart AI system which leverages heterogeneous robots to manage O&M tasks within the renewable power plants.