Salvatore Cuomo
Associate Professor
He has had the scientific responsibility of being the advisor/co-advisor for over 60 bachelor’s and/or master’s theses.
(The theses were conducted at the School of Polytechnics and Basic Sciences of the University of Naples Federico II, for the following degree courses: Bachelor's in Mathematics; Bachelor's in Computer Science; Master's in Mathematics; Master's in Computer Science.)
Below are the most recent and impactful theses, also in relation to current research topics and scientific collaborations.
- a.y. 2015/2016 -- Dr. Federica SICA, “VALUATION MODELS FOR INFLATION PRODUCTS AND CVA: METHODOLOGICAL APPROACHES AND EMPIRICAL ISSUES”, Master’s Degree in Mathematics. The results of this thesis have been applied at RaboBank, Netherlands.
- a.y. 2016/2017 -- Dr. Filomena Panico, “SOLVING LEARNING WITH ERRORS: A PROBABILISTIC APPROACH BASED ON A GPU DIRECT SCHEME”, Master’s Degree in Mathematics, selected among the top 100 theses in Cryptography and Codes in 10 years - National Association DE CIFRIS.
- a.y. 2018/2019 -- Dr. Alessio Cesarano, “INFORMATION PROPAGATION IN SOCIAL NETWORK: A COMPUTATIONAL APPROACH BASED ON CABLE EQUATION”, Master’s Degree in Mathematical Engineering.
- a.y. 2018/2019 -- Dr. Giampaolo Casolla, “SIMILARITY METRICS FOR GRAPH MINING”, Master’s Degree in Mathematics
- a.y. 2018/2019 -- Dr. Edoardo Prezioso, “TEMPORAL CONVOLUTIONAL NEURAL NETWORKS FOR MULTILABEL CLASSIFICATION”, Master’s Degree in Mathematical Engineering.
- a.y. 2018/2019 -- Dr. Fabio Giampaolo, “MACHINE LEARNING METHODOLOGIES FOR SHORT-TERM FORECASTING”, Master’s Degree in Math. Engineering
- a.y. 2019/20 -- Dr. Danilo Crisci, “A Deep Learning methodology for administrative health records: a case study on Local Health System”, MSD in Mathematics
- a.y. 2020/21 -- Dr. Federico Gatta, “Machine Learning Approaches in Financial Data Analysis”, Master’s Degree in Mathematics.
- a.y. 2020/21 -- Dr. Stefano Izzo, “A DEEP LEARNING APPROACH FOR THE CLASSIFICATION OF URBAN FUNCTIONAL ZONE”, MSD in Mathematics.
- a.y. 2021/22 -- Dr. Fato F., “GENERATIVE ADVERSARIAL NET FOR NOISE AND ARTIFACTS REDUCTION IN MRI NECK IMAGING”, MSD in Mathematics.
- a.y. 2021/22 -- Dr. Martina Savoia, “Deep Learning methodologies for Mercury detection in marine water”, Master’s Degree in Mathematics.
- a.y. 2021/22 -- Dr. Daniela Annunziata, “Physics-Informed Neural Networks for solving ODEs”, Master’s Degree in Mathematics
- a.y. 2022/23 -- Dr. Vincenzo Vocca, “Predictive Modeling of Soil Microbiota Growth Using Physics-Informed Neural Network”, Master’s Degree in Mathematics.
- a.y. 2022/23 -- Dr. Laura Pompameo, “Railway Safety through Predictive Vertical Displacement Analysis using the PINN-EKF Synergy”, MSD in Mathematics.