Francesco Vincenzo Surano

Ph.D. in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 34th cycle (2018-2021)

Ph.D. obtained in 2023

Dissertation:

Unveiling human interactions : approaches and techniques toward the discovery and representation of interactions in networks (Abstract)

Tutors:

Alessandro Rizzo Maurizio Porfiri

Research presentation:

Poster

Profile

Research topic

Unravelling the mechanisms underlying complex social and technological phenomena

Research interests

Big Data, Machine Learning, Neural Networks and Data Science
Modeling, simulation and CAD
Systems, Automation and Control

Biography

My interests range from complex networks to game theory: I think that those theories are amongst all the best suited to describe human behaviour, highlighting the emergent proprieties of interactions among individuals.
Around those interests I was able to shape my studies, attending courses about network theory, game theory, data mining and agent based simulations, creating a good toolkit not only to describe complex systems and human behaviours but also to simulate them.
I think that the availability of data in the recent years is unprecedent and will allow researchers to deeply study the human society in a way unthought before. Interactions, emerging collective phenomena, counter-intuitive behaviours should be the focus of the research interests in the coming years.
In my master's thesis I examined the process of agent-based generated multilayer network, diffusion of ideas on multilayer network and the possibility to infer the distribution of ideas on the whole network having access only to a limited number of layers.
Before starting my PhD studies, I’ve worked for NTTData company in a project involving University of Piemonte Orientale, supervised by professor Enrico Ferrero, for the application of machine learning techniques in the insurance sector.

Publications

Works published during the Ph.D. View all publications in Porto@Iris