Multi-fidelity Adaptive global metamodel of expensive computer simulations. - Riccardo Pellegrini; Umberto Iemma; Cecilia Leotardi; Emilio Fortunato Campana; Matteo Diez (CEC, 2016)

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 (MOD, 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)

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)

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)

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 (SMACD, 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; et al. (CoRR, 2022)

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)

Overview on the Special Issue on "Simulation-Based Optimization: Methods and Applications in Engineering Design". - Riccardo Pellegrini; Andrea Serani (Algorithms, 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., 2023)

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; et al. (CoRR, 2024)

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; et al. (J. Comput. Phys., 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; et al. (J. Reliab. Intell. Environ., 2025)