Salma Khan

14 papers Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
IEEE Access
Lin Kang, Salma Khan, Muhammad Rahim, Kamal Shah, Thabet Abdeljawad
2025 J jnl
Int. J. Fuzzy Syst.
Muhammad Rahim, Sanaa Ahmed Bajri, Salma Khan, Haifa Alqahtani, Hamiden Abd El-Wahed Khalifa
2024 J jnl
Int. J. Comput. Intell. Syst.
Murugan Palanikumar, Nasreen Kausar, Dragan Pamucar, Salma Khan, Mohd Asif Shah
2024 J jnl
IEEE Access
Lin Kang, Salma Khan, Muhammad Rahim, Kamal Shah, Thabet Abdeljawad
2024 J jnl
J. Inf. Sci.
Salma Khan, Muhammad Shaheen
2023 J jnl
J. Inf. Sci.
Salma Khan, Muhammad Shaheen
2023 J jnl
Integr.
Salma Khan, Syed Azeemuddin, Mohammed Arifuddin Sohel
2022 J jnl
Complex.
Salma Khan, Muhammad Gulistan, Nasreen Kausar, Sajida Kousar, Dragan Pamucar, Gezahagne Mulat Addis
2021 — conf
MWSCAS
Salma Khan, Syed Azeemuddin, Mohammed Arifuddin Sohel
2021 — conf
APCCAS
Salma Khan, Syed Azeemuddin, Mohammed Arifuddin Sohel
2020 J jnl
IEEE Access
Muhammad Irfan, Mazlan Hassan, Nasruddin Hassan, Muhammad Habib, Salma Khan, Abdul Muhaimin Nasruddin
2019 J jnl
J. Intell. Fuzzy Syst.
Rashid Sheikh, Muhammad Gulistan, Young Bae Jun, Salma Khan, Seifedine Nimer Kadry
2019 J jnl
Int. J. Distributed Sens. Networks
Muhammad Gulistan, Mutaz Mohammad, Faruk Karaaslan, Seifedine Nimer Kadry, Salma Khan, Hafiz Abdul Wahab
2018 J jnl
Symmetry
Muhammad Gulistan, Hafiz Abdul Wahab, Florentin Smarandache, Salma Khan, Sayed Inayat Ali Shah

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.