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. Biomarkers of erosive arthritis in systemic lupus erythematosus: Application of machine learning models. Ceccarelli F, Sciandrone M, Perricone C, Galvan G, Cipriano E, et al. PLOS ONE 2018. (https://doi.org/10.1371/journal.pone.0207926)
  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)
  3. Prediction of chronic damage in systemic lupus erythematosus by using machine-learning models.  Ceccarelli F, Sciandrone M, Perricone C, Galvan G, Morelli F, et al. PLOS ONE 2017.(https://doi.org/10.1371/journal.pone.0174200).

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