Yahya Alnashri

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Appl. Math. Comput.
Yahya Alnashri
2025 J jnl
CoRR
Hasan Alzubaidi, Yahya Alnashri
2025 J jnl
CoRR
Yahya Alnashri
2025 J jnl
CoRR
Yahya Alnashri
2024 J jnl
CoRR
Yahya Alnashri
2024 J jnl
CoRR
Yahya Alnashri, Hasan Alzubaidi
2022 J jnl
Comput. Methods Appl. Math.
Yahya Alnashri
2022 J jnl
CoRR
Yahya Alnashri
2021 J jnl
Comput. Methods Appl. Math.
Yahya Alnashri, Hasan Alzubaidi
2021 J jnl
CoRR
Yahya Alnashri
2021 J jnl
CoRR
Yahya Alnashri, Hasan Alzubaidi
2020 J jnl
CoRR
Yahya Alnashri
2020 J jnl
CoRR
Yahya Alnashri, Hasan Alzubaidi
2018 J jnl
SIAM J. Numer. Anal.
Yahya Alnashri, Jérôme Droniou
2016 J jnl
Comput. Math. Appl.
Yahya Alnashri, Jérôme Droniou

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.