Andrea Serani - RankMe

32 papers Journal 24Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Machine Learning Enabled MDO for Bio-Inspired Autonomous Underwater Gliders. CoRR Andrea Serani, Giorgio Palma, Jeroen Wackers, Matteo Diez
2025	J	`jnl`	Data-driven uncertainty-aware seakeeping prediction of the Delft 372 catamaran using ensemble Hankel dynamic mode decomposition. CoRR Giorgio Palma, Andrea Serani, Matteo Diez
2025	J	`jnl`	Democratizing uncertainty quantification. J. Comput. Phys. 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
2025	J	`jnl`	Extending parametric model embedding with physical information for design-space dimensionality reduction in shape optimization. Eng. Comput. Andrea Serani, Giorgio Palma, Jeroen Wackers, Domenico Quagliarella, Stefano Gaggero, Matteo Diez
2025	J	`jnl`	Model-free system identification of surface ships in waves via Hankel dynamic mode decomposition with control. CoRR Giorgio Palma, Andrea Serani, Shawn Aram, David W. Wundrow, David Drazen, Matteo Diez
2025	J	`jnl`	System Identification of a Moored ASV with Recessed Moon Pool via Deterministic and Bayesian Hankel-DMDc. CoRR Giorgio Palma, Ivan Santic, Andrea Serani, Lorenzo Minno, Matteo Diez
2024	J	`jnl`	A Scoping Review on Simulation-based Design Optimization in Marine Engineering: Trends, Best Practices, and Gaps. CoRR Andrea Serani, Thomas Scholcz, Valentina Vanzi
2024	J	`jnl`	A Survey on Design-space Dimensionality Reduction Methods for Shape Optimization. CoRR Andrea Serani, Matteo Diez
2024	J	`jnl`	Analysis and Forecasting of the Dynamics of a Floating Wind Turbine Using Dynamic Mode Decomposition. CoRR Giorgio Palma, Andrea Bardazzi, Alessia Lucarelli, Chiara Pilloton, Andrea Serani, Claudio Lugni, Matteo Diez
2024	J	`jnl`	Bayesian dynamic mode decomposition for real-time ship motion digital twinning. CoRR Giorgio Palma, Andrea Serani, Kevin McTaggart, Shawn Aram, David W. Wundrow, David Drazen, Matteo Diez
2024	J	`jnl`	Democratizing Uncertainty Quantification. CoRR 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
2023	J	`jnl`	A multi-fidelity active learning method for global design optimization problems with noisy evaluations. Eng. Comput. Riccardo Pellegrini, Jeroen Wackers, Riccardo Broglia, Andrea Serani, Michel Visonneau, Matteo Diez
2023	J	`jnl`	Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance. Eng. Comput. Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez
2023	J	`jnl`	Overview on the Special Issue on "Simulation-Based Optimization: Methods and Applications in Engineering Design". Algorithms Riccardo Pellegrini, Andrea Serani
2022	J	`jnl`	Analytical Benchmark Problems for Multifidelity Optimization Methods. CoRR 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
2022	J	`jnl`	Geometric Moment-Dependent Global Sensitivity Analysis without Simulation Data: Application to Ship Hull Form Optimisation. Comput. Aided Des. Shahroz Khan, Panagiotis D. Kaklis, Andrea Serani, Matteo Diez
2022	J	`jnl`	Shape-supervised Dimension Reduction: Extracting Geometry and Physics Associated Features with Geometric Moments. Comput. Aided Des. Shahroz Khan, Panagiotis D. Kaklis, Andrea Serani, Matteo Diez, Konstantinos V. Kostas
2021	J	`jnl`	Comparing Multi-Index Stochastic Collocation and Multi-Fidelity Stochastic Radial Basis Functions for Forward Uncertainty Quantification of Ship Resistance. CoRR Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez
2021	J	`jnl`	Dense conjugate initialization for deterministic PSO in applications: ORTHOinit+. Appl. Soft Comput. Cecilia Leotardi, Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso
2021	J	`jnl`	Recurrent-type Neural Networks for Real-time Short-term Prediction of Ship Motions in High Sea State. CoRR Danny D'Agostino, Andrea Serani, Frederick Stern, Matteo Diez
2020	J	`jnl`	Uncertainty Quantification of Ship Resistance via Multi-Index Stochastic Collocation and Radial Basis Function Surrogates: A Comparison. CoRR Chiara Piazzola, Lorenzo Tamellini, Riccardo Pellegrini, Riccardo Broglia, Andrea Serani, Matteo Diez
2018	J	`jnl`	A multi-objective DIRECT algorithm for ship hull optimization. Comput. Optim. Appl. Emilio Fortunato Campana, Matteo Diez, Giampaolo Liuzzi, Stefano Lucidi, Riccardo Pellegrini, Veronica Piccialli, Francesco Rinaldi, Andrea Serani
2018	—	`conf`	Augmented Design-Space Exploration by Nonlinear Dimensionality Reduction Methods. LOD Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez
2017	—	`conf`	Dolphin Pod Optimization - A Nature-Inspired Deterministic Algorithm for Simulation-Based Design. MOD Andrea Serani, Matteo Diez
2017	—	`conf`	Dolphin Pod Optimization. ICSI (1) Andrea Serani, Matteo Diez
2017	J	`jnl`	Formulation and parameter selection of multi-objective deterministic particle swarm for simulation-based optimization. Appl. Soft Comput. Riccardo Pellegrini, Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Matteo Diez
2017	—	`conf`	Hybrid Global/Local Derivative-Free Multi-objective Optimization via Deterministic Particle Swarm with Local Linesearch. MOD Riccardo Pellegrini, Andrea Serani, Giampaolo Liuzzi, Francesco Rinaldi, Stefano Lucidi, Emilio Fortunato Campana, Umberto Iemma, Matteo Diez
2017	—	`conf`	Nonlinear Methods for Design-Space Dimensionality Reduction in Shape Optimization. MOD Danny D'Agostino, Andrea Serani, Emilio Fortunato Campana, Matteo Diez
2016	—	`conf`	Dense Orthogonal Initialization for Deterministic PSO: ORTHOinit+. ICSI (1) Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Giovanni Fasano, Riccardo Gusso
2016	J	`jnl`	Parameter selection in synchronous and asynchronous deterministic particle swarm optimization for ship hydrodynamics problems. Appl. Soft Comput. Andrea Serani, Cecilia Leotardi, Umberto Iemma, Emilio Fortunato Campana, Giovanni Fasano, Matteo Diez
2015	—	`ch.`	Globally Convergent Hybridization of Particle Swarm Optimization Using Line Search-Based Derivative-Free Techniques. Recent Advances in Swarm Intelligence and Evolutionary Computation Andrea Serani, Matteo Diez, Emilio Fortunato Campana, Giovanni Fasano, Daniele Peri, Umberto Iemma
2014	—	`conf`	A Proposal of PSO Particles' Initialization for Costly Unconstrained Optimization Problems: ORTHOinit. ICSI (1) Matteo Diez, Andrea Serani, Cecilia Leotardi, Emilio Fortunato Campana, Daniele Peri, Umberto Iemma, Giovanni Fasano, Silvio Giove