I am currently a post-doc researcher at the Department of Medicine, Surgery and Neuroscience at the University of Siena. My research topics include machine vision, eye-tracking and computational modeling of human visual attention.
I received my Ph.D. in Smart Computing from the University of Florence and University of Siena, in March 2019.
I received a Master’s Degree in Mathematics from the University of Palermo (Italy) in July 2015.
I am a fan of human intelligence, its ability to develop situated knowledge, generalize and adapt fast to new diverse environments. It proceeds through perception, interaction and reasoning. I am delighted to put my efforts into discovering and formalizing the functional principles that underlie these processes.
:: PROGRAMMING FOR DATA SCIENCE
Main topics: Python, algorithms and libraries for data science. Duration: 18 hours.
A differential model of visual attention scanpath is applied to the task of saliency prediction both in static and dynamic scenes.
Collection of dataset of visual attention scanpaths and saliency maps. Standardized metrics for scanpath and salency map similarity.
:: MACHINE LEARNING MANUAL
An introduction to some machine learning tools within the most common development environments.
:: COARSE-TO-FINE Q-LEARNING
A Reinforcement Learning approach for object localisation of very high resolution images.
:: 1st place Hackathon Mediaset Infinity.
Predicting user churn on the online streaming platform.
:: 1st place Hackathon Soccer Data Challenge.
Predicting football player modern role and analysis of team’s best scheme.
My code on GitHub.