Lakhlifa Sadek

13 papers Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Extended block Krylov subspace approaches for solving large-scale linear system of fractional DEs. J. Comput. Appl. Math. Lakhlifa Sadek, Hamad Talibi Alaoui, Ahmad Sami Bataineh, Ishak Hashim
2026	J	`jnl`	Fractional truncated exponential technique to solve the optimal control Atangana-Baleanu problems. J. Supercomput. Said Ounamane, Lakhlifa Sadek, Bouchra Abouzaid, El Mostafa Sadek
2026	J	`jnl`	The Galerkin Mittag-Leffler method for solving fractional optimal control problems with inequality constraints. Math. Comput. Simul. Lakhlifa Sadek, Mohammad Esmael Samei, Mir Sajjad Hashemi
2025	J	`jnl`	Efficient numerical schemes for linear fractional differential systems with applications to diffusion problems. J. Frankl. Inst. Manal Alqhtani, Lakhlifa Sadek, Zakia Hammouch, Khaled M. Saad
2025	J	`jnl`	Fractional truncated exponential method for linear fractional optimal control problems. Math. Comput. Simul. Said Ounamane, Lakhlifa Sadek, Bouchra Abouzaid, El Mostafa Sadek
2025	J	`jnl`	Numerical approach for solving the differential Stein matrix equations. J. Appl. Math. Comput. Lakhlifa Sadek
2025	J	`jnl`	The Mittag-Leffler-Caputo-Fabrizio Fractional Derivative and Its Numerical Approach. Symmetry Manal Alqhtani, Lakhlifa Sadek, Khaled M. Saad
2025	J	`jnl`	The Symmetry-Preserving Rosenbrock Approach: Application to Solve the Chaotic Lorenz System. Symmetry Lakhlifa Sadek, Ibtisam Aldawish
2025	J	`jnl`	The quantum Adams-Bashforth-Moulton fractional method for solving quantum fractional differential equations. J. Appl. Math. Comput. Said Chablaoui, Lakhlifa Sadek, El Mostafa Sadek
2024	J	`jnl`	The Galerkin Bell method to solve the fractional optimal control problems with inequality constraints. J. Comput. Sci. Lakhlifa Sadek, Said Ounamane, Bouchra Abouzaid, El Mostafa Sadek
2023	J	`jnl`	A numerical approach based on Bernstein collocation method: Application to differential Lyapunov and Sylvester matrix equations. Math. Comput. Simul. Lakhlifa Sadek, Ahmad Sami Bataineh, Osman Rasit Isik, Hamad Talibi Alaoui, Ishak Hashim
2022	J	`jnl`	Application of MGA and EGA algorithms on large-scale linear systems of ordinary differential equations. J. Comput. Sci. Lakhlifa Sadek, Hamad Talibi Alaoui
2020	J	`jnl`	Global extended Krylov subspace methods for large-scale differential Sylvester matrix equations. J. Appl. Math. Comput. El Mostafa Sadek, Abdeslem Hafid Bentbib, Lakhlifa Sadek, Hamad Talibi Alaoui

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.