Salvatore Cuomo

Associate Professor

University of Naples Federico II

Italy

Research Interests

Explore related searches

Professors in Italy Professors in Fluid Mechanics Fluid Mechanics professors in Italy

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Salvatore Cuomo is an Associate Professor at the University of Naples Federico II in Italy. His research focuses on advanced computational methods including algebraic multigrid techniques, physics-informed neural networks, and machine learning applications in environmental science and financial forecasting. Recent publications reflect his expertise in groundwater flow modeling, soil microbiota dynamics, and predictive analytics for resource management.

Articles (16)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (5)

Alessandra Piscitelli

University of Naples Federico II

ITALY

View details

Fabio Giampaolo

University of Naples Federico II

ITALY

View details

Stefano Izzo

University of Naples Federico II

ITALY

View details

Francesco Calabrò

Professore Associato

Università degli Studi di Napoli Federico II

ITALY

View details

Gerardo SEVERINO

Professore ordinario

University of Naples Federico II

ITALY

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Salvatore Cuomo

Research Interests

Explore related searches

Contact this professor

About

Articles (16)

A numerical approach for soil microbiota growth prediction through physics-informed neural network

Algebraic multigrid methods for uncertainty quantification of source-type flows through randomly heterogeneous porous media

Investigating neural networks with groundwater flow equation loss

Impact of collocation point sampling techniques on PINN performance in groundwater flow predictions

Machine Learning Model for Battle of Water Demand Forecasting

Railway safety through predictive vertical displacement analysis using the PINN-EKF synergy

Time discretization in the solution of parabolic PDEs with ANNs

Solving groundwater flow equation using physics-informed neural networks

An unsupervised learning framework for marketneutral portfolio

A Sojourn-Based Approach to Semi-Markov Reinforcement Learning

A machine learning-enhanced biosensor for mercury detection based on an hydrophobin chimera

Comparative investigation of GPU-accelerated triangle-triangle intersection algorithms for collision detection

Effects of spatial decomposition on the efficiency of kNN search in spatial interpolations

Heterogeneous data fusion considering spatial correlations using graph convolutional networks and its application in air quality prediction

Neural networks generative models for time series

Physics-informed neural networks approach for 1D and 2D Gray-Scott systems

Collaborators (5)

Alessandra Piscitelli

Fabio Giampaolo

Stefano Izzo

Francesco Calabrò

Gerardo SEVERINO

Make your next move.