Fayong Zhang

11 papers C 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Memetic Comput.
Yajie Huo, Fayong Zhang, Wenyin Gong
2025 J jnl
Trans. GIS
Zejun Zuo, Fayong Zhang, Lin Yang, Wenhao Li, Yun Xie, Ruolin Yang
2024 J jnl
Comput. Ind. Eng.
Fayong Zhang, Rui Li, Wenyin Gong
2024 J jnl
Complex Intell. Syst.
Fayong Zhang, Caixian Li, Rui Li, Wenyin Gong
2024 J jnl
IEEE Trans. Geosci. Remote. Sens.
Fayong Zhang, Kejun Liu, Yuanyuan Liu, Chaofan Wang, Wujie Zhou, Hongyan Zhang, Lizhe Wang
2023 J jnl
Inf. Sci.
Yuanyuan Liu, Ning Zhou, Fayong Zhang, Wenbin Wang, Yu Wang, Kejun Liu, Ziyuan Liu
2023 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Xue Yang, Mingchun Yang, Yanjia Cao, Chang Ren, Fayong Zhang, Luliang Tang
2020 J jnl
Comput. Geosci.
Maoteng Zheng, Fayong Zhang, Junfeng Zhu, Zejun Zuo
2019 J jnl
Int. J. Pattern Recognit. Artif. Intell.
Yuanyuan Liu, Xingmei Li, Fang Fang, Fayong Zhang, Jingying Chen, Zhizhong Zeng
2006 C conf
APWeb
Lingfang Zeng, Dan Feng, Fang Wang, Degang Liu, Fayong Zhang
2005 — conf
EGC
Dan Feng, Lingfang Zeng, Fang Wang, Degang Liu, Fayong Zhang, Lingjun Qin, Qun Liu

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.