Prof. Davide Anguita received the `Laurea' degree in Electronic Engineering and a Ph.D. degree in Computer Science and Electronic Engineering from the University of Genoa, Genoa, Italy, in 1989 and 1993, respectively. After working as a Research Associate at the International Computer Science Institute, Berkeley, CA, on special-purpose processors for neurocomputing, he returned to the University of Genoa. He is currently Associate Professor of Computer Engineering with the Department of Informatics, BioEngineering, Robotics, and Systems Engineering (DIBRIS). His current research focuses on the theory and application of kernel methods and artificial neural networks.
Prof. Sandro Ridella received the ‘Laurea’ degree in electronic engineering from the University of Genoa, Genoa, Italy, in 1966. Currently, he is a Full Professor at the Department of Biophysical and Electronic Engineering (DIBE, now DITEN Dept.), University of Genoa, where he teaches circuits and algorithms for signal processing. In the last five years, his scientific activity has been mainly focused on the field of neural networks.
Dr. Luca Oneto was born in Rapallo, Italy in 1986. He is currently a Researcher at University of Genoa with particular interests in Machine Learning and Statistical Learning Theory. He received his Bachelor Degree in Electronic Engineering at the University of Genoa, Italy in 2008. He subsequently started his master studies in Electronic Engineering in the same university with focus in Intelligent System and Statistics. After receiving his MSc Degree in 2010, he started to work as a consultant for the DITEN and DIBE Departments at University of Genoa, together with other consultant activities for Mac96 and Ansaldo STS in the context of some European Projects. In 2014 he received his PHD in School in Sciences and Technologies for Knowledge and Information Retrieval (University of Genoa) with the thesis 'Learning Based On Empirical Data'. Today he work as a consultant and teaches in many BSc and MSc courses at University of Genoa where he is also a Researcher.
Alessandro Lulli was born in Firenze, Italy in 1984. He is currently a PostDoc at University of Genoa with particular interests in Distributed Processing. He received his Master Degree in Computer Science at the University of Pisa, Italy in 2011. In 2017 he received his PHD in Computer Science at University of Pisa, Italy, with the thesis 'Distributed Graph Processing: Algorithms And Applications'.
Francesca Cipollini was born in Genoa, Italy in 1992. She received the Bachelor degree in Electronic Engineering and Information Technologies at the University of Genoa in 2014, and then the Master degree in Electronic Engineering at the same university, with a thesis on Condition-Based Maintenance in Naval Applications, in collaboration with DAMEN shipyards. She is currently a PhD Student of the DIBRIS department of the University of Genoa at the SmartLab laboratory, in collaboration with Aizoon. Her current research interests focus on the application of Machine Learning and Big Data methodologies to Industry 4.0 applications.
Matteo Cambiaso was born in Genova (GE), Italy in 1991. He obtained his BSc Degree in Electronic Engineering in 2014 at the University of Genoa and he received the MSc Degree in Electronic Engineering in 2017 in the same University discussing a thesis on Online Discovery of Process Models, consisting of the development of a process mining algorithm, in collaboration with the Padua University. He currently works as consultant in Big Data and Data Analysis in VARCONNECT S.r.l. His interests are directed in Machine Learning, Data Mining and Process Mining techniques.
Andrea Coraddu is currently working at Strathclyde University in the Department of Naval Ocean and Marine Engineering as Teaching Associate. He earned his PhD degree at the University of Genoa, and after two years of post-doc at DITEN Department he moved on to a two-year period as a Research Engineer at Damen Shipyards Singapore R&D Department before moving to his new assignment as a Research Associate at the University of Newcastle.
His education, both at PhD and MSc level, in the traditional field of naval architecture, is integrated today with machine learning and, more generally, in non-mechanistic modelling of marine systems, and on the use of these models for the optimization of ship performance, condition-based monitoring and weather routing.