Department of Information Engineering, Electronics and Telecommunications – “Sapienza” University of Rome, Rome, Italy – antonello.rizzi@uniroma1.it

Antonello Rizzi (M'99-SM'17) since July 2010 has been with the Department of Information Engineering, Electronics and Telecommunications (DIET), ``Sapienza" University of Rome as an Assistant Professor. Currently, he serves as an Associate Professor at DIET. Since 2008, he is the scientific coordinator and R\&D technical director in the Intelligent Systems Laboratory within the Research Center for Sustainable Mobility of Lazio region, Italy. His major research interests are in computational intelligence and pattern recognition, including supervised and unsupervised machine learning techniques, neural networks, fuzzy systems, and evolutionary algorithms, with application in smart grids and microgrids modeling and control, intelligent systems for sustainable mobility, battery management systems. His research activity concerns the design of automatic modeling systems, focusing on classification, clustering, function approximation, and prediction problems. He is currently working on smart grids and microgrids modeling and control, intelligent systems for sustainable mobility, battery management systems, granular computing, data mining and knowledge discovery, computational biology, machine learning in non-metric spaces, graph and sequence matching, agent-based clustering, parallel and distributed computing.

Department of Business and Management – LUISS University, Rome, Italy – amartino@luiss.it

Alessio Martino (Member, IEEE) graduated summa cum laude in Communications Engineering at University of Rome "La Sapienza", Italy, October 2016. His Bachelor and Master's Degree Theses regarded EU-FP7 and EU-FP8 projects, respectively. From November 2016 to October 2019, he served as PhD Research Fellow in Information and Communications Technologies at the same University (Department of Information Engineering, Electronics and Telecommunications) with a final dissertation on pattern recognition techniques in non-metric domains. During his PhD, he also served as scientific collaborator with Consortium for Research in Automation and Telecommunication, Rome, Italy. After obtaining the PhD, he has been granted a 1-year PostDoctoral Research Fellowship at University of Rome "La Sapienza" and a 1-year PostDoctoral Research Fellowship at the Italian National Research Council. Currently, he is Assistant Professor of Computer Science at LUISS University. His research interests include machine learning, computational intelligence and knowledge discovery. Currently, he's focusing on large-scale machine learning, advanced pattern recognition systems, big data analysis, parallel & distributed computing, granular computing and complex systems modelling, in applications including bioinformatics and computational biology, natural language processing and energy distribution networks.

Department of Information Engineering, Electronics and Telecommunications – “Sapienza” University of Rome, Rome, Italy – enrico.desantis@uniroma1.it

Enrico De Santis (Member, IEEE) received the M.A.Sc. (Hons.) and the Ph.D. degrees in Information and Communication engineering from "Sapienza" University of Rome (Italy) and worked as an assistant researcher and successively as a postdoc with the Department of Computer Science at Toronto Metropolitan University (Toronto, Canada). Currently, he holds a researcher position with the Department of Information Engineering, Electronics and Telecommunications (DIET) at "Sapienza". His research interests include artificial intelligence, complex systems and data-driven modeling, natural language processing, computational intelligence, neural networks and fuzzy systems with application in smart grids and predictive maintenance. Since 2017, he has joined an innovative startup at "Sapienza" University as CTO, dealing with the management of Artificial Intelligence projects in production environments.