Federico Siciliano
EDUCATION AND TRAINING
PhD in Data Science — EQF Level 8
Sapienza University of Rome
11/2020 - CURRENT - Rome, Italy
Master’s Degree in Data Science — EQF Level 7
Sapienza University of Rome
09/2017 - 25/10/2019 - Rome, Italy
Master thesis:
Title: Forecasting of SYM-H index using Recurrent and Convolutional Neural Networks: A neural network approach to the prediction of magnetospheric response to interplanetary magnetic field changes
Abstract: Extensive analysis of various types of neural networks (both Recurrent and Convolutional) and combination of hyper-parameters, in order to provide a warning in a useful time for geomagnetic storms. The neural network was capable of predicting the SYMH index at a distance of one hour with an accuracy of more than 90% (in terms of R2), exhibiting excellent behaviour especially in the storm phase.
Thesis advisor: Prof. Stefano Leonardi
External Advisor: Dr. Giuseppe Consolini (INAF - Italian National Institute of Astrophysics)
Bachelor’s Degree in Management Statistics — EQF Level 6
Sapienza University of Rome
09/2014 - 18/07/2017 - Rome, Italy
Bachelor Thesis:
Title: Takenoko, a low-cost playtesting methodology
Abstract: Study of a board game (Takenoko), using online comments and reviews to focus attention on the problems already detected by players, and adoption of a particular method of play-testing: a software able to simulate the mechanics of the game in question and an Artificial Intelligence capable of playing it, thus realizing a greater number of simulations than can be achieved using real people and reducing (almost to zero) the cost of the procedure
Thesis advisor: Prof. Paolo Giulio Franciosa
WORK EXPERIENCE
Scholarship Contract for Research Activities
Sapienza, Dipartimento di Ingegneria Informatica, Automatica e Gestionale
05/2020 - 10/2020 - Rome, Italy
Design of the Diabetology Project database and preparation of the experimentation platform for machine learning algorithms
Analysis and implementation of adaptive planning systems
Math, Physics, Science Tutor (High School level)
Private
2014 - CURRENT
Neural Networks