PhD Student in Ingegneria dell’Informazione at Dipartimento di Ingegneria dell’Informazione, Università degli Studi di Firenze. My research interests are machine learning, neural networks, large-scale and non-linear optimization.



  1. Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models. Ceccarelli, F. and Sciandrone, M. and Perricone, C. and Galvan, G. and Morelli, F. and Vicente, L.N. and Leccese, I. and Massaro, L. and Cipriano, E. and Spinelli, F.R. and Alessandri, C. and Valesini, G. and Conti, F.. PLoS ONE (https://doi.org/10.1371/journal.pone.0174200).
  2. Machine learning methods for short-term bid forecasting in the renewable energy market: A case study in ItalyCocchi GGalli LGalvan GSciandrone MCantù MTomaselli GWind Energy2018;115. (https://doi.org/10.1002/we.2166)

My ORCID number: 0000-0002-0384-0334.


      1. ISMP 18 – An Alternating Augmented Lagrangian method for constrained nonconvex optimization. (slides.pdf)


Phone: +39 3349486905
E-mail: giulio.galvan@gmail.com