Samuele Rubino

25 papers Journal 25

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Well-balanced POD-based reduced-order models for finite volume approximation of hyperbolic balance laws. J. Comput. Appl. Math. Irene Gómez-Bueno, E. D. Fernández-Nieto, Samuele Rubino
2025	J	`jnl`	A POD-Based Reduced Order Method Applied to Goda Time-Splitting Scheme. J. Sci. Comput. Mejdi Azaïez, T. Chacón Rebollo, C. Núñez Fernández, Samuele Rubino
2025	J	`jnl`	General Order Virtual Element Approximation for the Smagorinsky turbulence model. CoRR Stefano Berrone, Karol L. Cascavita, Enrique Delgado Ávila, Samuele Rubino, Maria Strazzullo, Fabio Vicini
2025	J	`jnl`	Reduced-Order Time Splitting for Navier-Stokes with Open Boundaries. CoRR Mejdi Azaïez, Tomás Chacón Rebollo, C. Núñez Fernández, Samuele Rubino
2025	J	`jnl`	Residual-based data-driven variational multiscale reduced order models for parameter-dependent problems. Comput. Appl. Math. Birgul Koc, Samuele Rubino, Tomás Chacón Rebollo, Traian Iliescu
2025	J	`jnl`	Second order reduced model via incremental projection for Navier Stokes. CoRR Mejdi Azaïez, Yayu Guo, C. Núñez Fernández, Samuele Rubino, Chuanju Xu
2025	J	`jnl`	Well-balanced POD-based reduced-order models for finite volume approximation of hyperbolic balance laws. CoRR Irene Gómez-Bueno, E. D. Fernández-Nieto, Samuele Rubino
2023	J	`jnl`	Uniform Bounds with Difference Quotients for Proper Orthogonal Decomposition Reduced Order Models of the Burgers Equation. J. Sci. Comput. Birgul Koc, Tomás Chacón Rebollo, Samuele Rubino
2022	J	`jnl`	Error analysis of a residual-based stabilization-motivated POD-ROM for incompressible flows. CoRR Tomás Chacón Rebollo, Samuele Rubino, Mourad Oulghelou, Cyrille Allery
2022	J	`jnl`	Error analysis of proper orthogonal decomposition data assimilation schemes with grad-div stabilization for the Navier-Stokes equations. J. Comput. Appl. Math. Bosco García-Archilla, Julia Novo, Samuele Rubino
2022	J	`jnl`	On the influence of the nonlinear term in the numerical approximation of Incompressible Flows by means of proper orthogonal decomposition methods. CoRR Bosco García-Archilla, Julia Novo, Samuele Rubino
2022	J	`jnl`	Uniform Bounds with Difference Quotients for Proper Orthogonal Decomposition Reduced Order Models of the Burgers Equation. CoRR Birgul Koc, Tomás Chacón Rebollo, Samuele Rubino
2021	J	`jnl`	A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equations. J. Comput. Phys. Mejdi Azaïez, Tomás Chacón Rebollo, Samuele Rubino
2021	J	`jnl`	Error Analysis of Proper Orthogonal Decomposition Stabilized Methods for Incompressible Flows. SIAM J. Numer. Anal. Julia Novo, Samuele Rubino
2021	J	`jnl`	On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition. SIAM J. Numer. Anal. Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
2020	J	`jnl`	Error analysis of proper orthogonal decomposition data assimilation schemes for the Navier-Stokes equations. CoRR Bosco García-Archilla, Julia Novo, Samuele Rubino
2020	J	`jnl`	Error analysis of proper orthogonal decomposition stabilized methods for incompressible flows. CoRR Julia Novo, Samuele Rubino
2020	J	`jnl`	Numerical Analysis of a Projection-Based Stabilized POD-ROM for Incompressible Flows. SIAM J. Numer. Anal. Samuele Rubino
2020	J	`jnl`	On Optimal Pointwise in Time Error Bounds and Difference Quotients for the Proper Orthogonal Decomposition. CoRR Birgul Koc, Samuele Rubino, Michael Schneier, John R. Singler, Traian Iliescu
2019	J	`jnl`	A cure for instabilities due to advection-dominance in POD solution to advection-diffusion-reaction equations. CoRR Mejdi Azaïez, Tomás Chacón Rebollo, Samuele Rubino
2019	J	`jnl`	An efficient time-splitting approximation of the Navier-Stokes equations with LPS modeling. Appl. Math. Comput. Samuele Rubino
2019	J	`jnl`	Numerical analysis of a projection-based stabilized POD-ROM for incompressible flows. CoRR Samuele Rubino
2018	J	`jnl`	A High-Order Local Projection Stabilization Method for Natural Convection Problems. J. Sci. Comput. Tomás Chacón Rebollo, Macarena Gómez Mármol, Frédéric Hecht, Samuele Rubino, Isabel Sánchez Muñoz
2014	J	`jnl`	Numerical approximation of the Smagorinsky turbulence model applied to the primitive equations of the ocean. Math. Comput. Simul. Tomás Chacón Rebollo, Frédéric Hecht, Macarena Gómez Mármol, Giordano Orzetti, Samuele Rubino
2012	J	`jnl`	A three-dimensional model for the study of the cooling system of submersible electric pumps. Math. Comput. Simul. Nadaniela Egidi, Pierluigi Maponi, Luciano Misici, Samuele Rubino

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.