Faiz Muhammad Khan

12 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A TODIM-based cubic quasirung orthopair fuzzy MCGDM model for evaluating 5G network providers using Minkowski distance and entropy measures. Expert Syst. Appl. Yongxin Li, Muhammad Rahim, Faiz Muhammad Khan, Hamiden Abd El-Wahed Khalifa
2024	J	`jnl`	A Progressive Outlook on Possibility Multi-Fuzzy Soft Ordered Semigroups: Theory and Analysis. Axioms Sana Habib, Faiz Muhammad Khan, Violeta Leoreanu Fotea
2023	J	`jnl`	Complex Fuzzy Rough Aggregation Operators and their Applications in EDAS for Multi-Criteria Group Decision-Making. Int. J. Fuzzy Log. Intell. Syst. Faiz Muhammad Khan, Naila Bibi, Saleem Abdullah, Azmat Ullah
2021	J	`jnl`	A New Generalization of Fuzzy Soft Bi-ideals in Ordered Semigroups. J. Multiple Valued Log. Soft Comput. Faiz Muhammad Khan, Violeta Leoreanu Fotea, Ibrahim, Amanullah
2019	J	`jnl`	A new concept of possibility fuzzy soft ordered semigroups via its applications. J. Intell. Fuzzy Syst. Sana Habib, Faiz Muhammad Khan, Yufeng Nie
2019	—	`—`	An integrative workflow to study large-scale biochemical networks Faiz Muhammad Khan
2019	J	`jnl`	Some Innovative Types of Fuzzy Ideals in AG-Groupoids. J. Intell. Syst. Faiz Muhammad Khan, Hidayat Ullah Khan, Safyan Mukhtar, Asghar Khan, Nor Haniza Sarmin
2018	J	`jnl`	Ordered Semigroups Based on (ε, ε, ∨q Adv. Fuzzy Syst. Faiz Muhammad Khan, Yufeng Nie, Hidayat Ullah Khan, Bakht Muhammad Khan
2018	J	`jnl`	Qualitative behavior of a second-order fuzzy difference equation. J. Intell. Fuzzy Syst. Ghaus ur Rahman, Qamar Din, Faiz Faizullah, Faiz Muhammad Khan
2016	J	`jnl`	Classification of Ordered Semigroups in Terms of Generalized Interval-Valued Fuzzy Interior Ideals. J. Intell. Syst. Hidayat Ullah Khan, Nor Haniza Sarmin, Asghar Khan, Faiz Muhammad Khan
2012	J	`jnl`	New types of fuzzy bi-ideals in ordered semigroups. Neural Comput. Appl. Asghar Khan, Nor Haniza Sarmin, Bijan Davvaz, Faiz Muhammad Khan
2012	J	`jnl`	Ordered semigroups characterized by (∈, ∈ ∨ q Neural Comput. Appl. Asghar Khan, Young Bae Jun, Nor Haniza Sarmin, Faiz Muhammad Khan

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.