DIEGO SCUPPA

PhD Student

PhD program:: XL
email: scuppa@diag.uniroma1.it
building: Dipartimento di Ingegneria Informatica, Automatica e Gestionale "Antonio Ruberti" (DIAG)
room: A114

supervisor: Marco Sciandrone

Diego Scuppa obtained his Master’s Degree in Applied Mathematics (curriculum: Mathematics for Data Science) in July 2024 from Sapienza University of Rome, defending his thesis titled “Optimization Methods for AIS and SAR Data Fusion,” supervised by Prof. Marco Sciandrone. Since November of the same year, he has been enrolled in the ABRO doctoral program, focusing on the Operations Research curriculum (MAT-09), at the Department of Computer, Control, and Management Engineering Antonio Ruberti (DIAG) at Sapienza University of Rome. His main research activities include continuous optimization and machine learning.

Research products

11573/1761353 - 2026 - Projected Gradient Methods with Momentum

Lapucci, Matteo; Liuzzi, Giampaolo; Lucidi, Stefano; Sciandrone, Marco; Scuppa, Diego - 01a Articolo in rivista

paper: JOURNAL OF OPTIMIZATION THEORY AND APPLICATIONS (Dordrecht : Kluwer) pp. - - issn: 1573-2878 - wos: WOS:001810673100001 (0) - scopus: 2-s2.0-105043675963 (0)

11573/1769725 - 2026 - A scoping review on aging and cardiovascular diseases - Molecular mediators and artificial intelligence-based advanced diagnostic methods

Sudoso, Antonio M.; Ciarpaglini, Lorenzo; Scuppa, Diego; Trasatti, Elisa; Sciandrone, Marco; Galiuto, Leonarda - 01g Articolo di rassegna (Review)

paper: INTERNATIONAL JOURNAL OF CARDIOLOGY (Shannon; Amsterdam: Elsevier Science Publishers; Elsevier/North-Holland) pp. - - issn: 0167-5273 - wos: (0) - scopus: (0)

11573/1741087 - 2025 - Predicting takotsubo syndrome subtypes: An interpretable machine learning model for differentiating emotional versus physical aetiologies

Scuppa, Diego; Colaceci, Francesca; Sciandrone, Marco; Arcari, Luca; Mariano, Enrica G.; Musumeci, Beatrice Maria; Barbato, Emanuele; Galiuto, Leonarda - 01a Articolo in rivista

paper: INTERNATIONAL JOURNAL OF CARDIOLOGY (Shannon : Elsevier Ireland) pp. - - issn: 1874-1754 - wos: WOS:001513426500005 (6) - scopus: 2-s2.0-105008023748 (6)