CURRENT POSITION
PhD student in Data Science
Sapienza University of Rome
2020 - CURRENT
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
EDUCATION AND TRAINING
Master’s Degree in Data Science — EQF Level 7
Sapienza University of Rome
09/2017 - 25/10/2019 - Rome, Italy
Degree fully taught in English
Graduation vote: 110 with honors / 110
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
Graduation vote: 110 with honors / 110
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
PUBLICATIONS
- F. Siciliano, G. Consolini, R. Tozzi, M. Gentili, F. Giannattasio, P. De Michelis
2020
Forecasting SYM-H Index: A Comparison Between Long Short-Term Memory and Convolutional Neural Networks
Space Weather
doi: 10.1029/2020SW002589
LANGUAGE SKILLS
Mother tongue: Italian
Foreign languages:
English:
Cambridge ESOL Level 1 Certificate in ESOL International University of Cambridge, 03/2013
CEFR level: B2
Spanish:
Diploma de Español como lengua extranjera (Nivel inicial) Instituto Cervantes, 08/2008
CEFR level: B1