Riccardo Pellegrini

According to our database, Riccardo Pellegrini authored at least 13 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Digital twins for intelligent cities: the case study of Matera.

Riccardo De Benedictis, Amedeo Cesta, Riccardo Pellegrini, Matteo Diez, Diego Maria Pinto, Paolo Ventura, Giuseppe Stecca, Giovanni Felici, Andreas Scalas, Michela Mortara, Daniela Cabiddu, Simone Pittaluga, Michela Spagnuolo, Stefano Silvestri, Emanuele Damiano, Mario Sicuranza, Mario Ciampi, Gabriella Tognola, Lucanos Strambini, Roberto Malvezzi, Ida G. Presta, Marialucia Camardelli, Giordana Castelli, Emilio Fortunato Campana

J. Reliab. Intell. Environ., March, 2025

Democratizing uncertainty quantification.

Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Robert Akers, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Benjamin M. Kent, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl

J. Comput. Phys., 2025

2024

Democratizing Uncertainty Quantification.

Linus Seelinger, Anne Reinarz, Mikkel Bue Lykkegaard, Amal Mohammed A. Alghamdi, David Aristoff, Wolfgang Bangerth, Jean Bénézech, Matteo Diez, Kurt Frey, John D. Jakeman, Jakob Sauer Jørgensen, Ki-Tae Kim, Massimiliano Martinelli, Matthew D. Parno, Riccardo Pellegrini, Noemi Petra, Nicolai André Brogaard Riis, Katherine Rosenfeld, Andrea Serani, Lorenzo Tamellini, Umberto Villa, Tim J. Dodwell, Robert Scheichl

CoRR, 2024

2023

A multi-fidelity active learning method for global design optimization problems with noisy evaluations.

Riccardo Pellegrini, Jeroen Wackers, Riccardo Broglia, Andrea Serani, Michel Visonneau, Matteo Diez

Eng. Comput., October, 2023

Overview on the Special Issue on "Simulation-Based Optimization: Methods and Applications in Engineering Design".

Riccardo Pellegrini, Andrea Serani

Algorithms, April, 2023

Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance.

Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez

Eng. Comput., 2023

2022

Analytical Benchmark Problems for Multifidelity Optimization Methods.

Laura Mainini, Andrea Serani, Markus P. Rumpfkeil, Edmondo A. Minisci, Domenico Quagliarella, Hayriye Pehlivan Solak, Sihmehmet Yildiz, S. Ficini, Riccardo Pellegrini, Francesco Di Fiore, Dean E. Bryson, Melike Nikbay, Matteo Diez, Phil Beran

CoRR, 2022

A Seamless and Unified Flow for Robust Development of DC-DC Digital Controllers.

Riccardo Pellegrini, Enea Dimroci, Roberta Priolo, Alessandro Bertolini, Francesco Battini, Marco Leo, Marco Castellano, Francesco Pinzin, Alberto Cattani, Alessandro Gasparini

Proceedings of the 18th International Conference on Synthesis, 2022

2020

Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison.

Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez

CoRR, 2020

2018

A multi-objective DIRECT algorithm for ship hull optimization.

Emilio Fortunato Campana, Matteo Diez, Giampaolo Liuzzi, Stefano Lucidi, Riccardo Pellegrini, Veronica Piccialli, Francesco Rinaldi, Andrea Serani

Comput. Optim. Appl., 2018

2017

Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization.

Riccardo Pellegrini, Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Matteo Diez

Appl. Soft Comput., 2017

Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch.

Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Emilio Fortunato Campana, Umberto Iemma, Matteo Diez

Proceedings of the Machine Learning, Optimization, and Big Data, 2017

2016

Multi-fidelity Adaptive global metamodel of expensive computer simulations.

Riccardo Pellegrini, Umberto Iemma, Cecilia Leotardi, Emilio Fortunato Campana, Matteo Diez

Proceedings of the IEEE Congress on Evolutionary Computation, 2016