Fei Tan

23 papers Journal 23
YearRankTypeTitle / Venue / Authors
2026 J jnl
Expert Syst. Appl.
Lili Zhou, Qilin Chen, Fei Tan, Changxin Wu
2026 J jnl
Int. J. Syst. Sci.
Lili Zhou, Wenmiao Xu, Fei Tan, Fujin Jia
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Fei Tan, Lili Zhou, Guangdeng Zong, Zhen Wang, Guangming Zhuang, Xing-Chen Shang-Guan
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Fei Tan, Lili Zhou, Quanxin Zhu
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Lili Zhou, Mingzhe Huang, Fei Tan, Guangdeng Zong, Zhen Wang, Guangming Zhuang
2025 J jnl
Expert Syst. Appl.
Lili Zhou, Haibin Liao, Fei Tan, ZeLiang Chen
2025 J jnl
Expert Syst. Appl.
Lili Zhou, Zeqin Lin, Fei Tan, Pengyu Chen
2025 J jnl
Commun. Nonlinear Sci. Numer. Simul.
Lili Zhou, Jingjing Li, Fei Tan, Zhen Wang, Guangming Zhuang
2024 J jnl
Trans. Inst. Meas. Control
Lili Zhou, Huiying Zhang, Fei Tan, Kaiyue Liu
2024 J jnl
Neurocomputing
Lili Zhou, Huo Lin, Fei Tan
2023 J jnl
Eur. J. Control
Fei Tan, Lili Zhou, Junwei Lu, Hongzheng Quan, Kaiyue Liu
2023 J jnl
Soft Comput.
Fei Tan, Lili Zhou, Junwei Lu, Yongmin Li
2022 J jnl
Soft Comput.
Lili Zhou, Xiaohui Li, Fei Tan, Yi Huang, Weina Ma
2022 J jnl
Neurocomputing
Fei Tan, Shengyuan Xu, Yongmin Li, Yuming Chu, Zhengqiang Zhang
2022 J jnl
J. Frankl. Inst.
Fei Tan, Lili Zhou, Jianwei Xia
2022 J jnl
Soft Comput.
Xiaohui Li, Lili Zhou, Fei Tan
2021 J jnl
Neurocomputing
Lili Zhou, Fei Tan, Xiaohui Li, Ling Zhou
2020 J jnl
IEEE Syst. J.
Lili Zhou, Fei Tan, Fei Yu
2020 J jnl
J. Frankl. Inst.
Fei Tan, Lili Zhou, Junwei Lu, Yuming Chu
2020 J jnl
Int. J. Syst. Sci.
Fei Tan, Lili Zhou, Fei Yu, Junwei Lu
2020 J jnl
Neurocomputing
Fei Tan, Lili Zhou, Yuming Chu, Yongmin Li
2019 J jnl
Neurocomputing
Lili Zhou, Fei Tan, Fei Yu, Wei Liu
2019 J jnl
Trans. Inst. Meas. Control
Fei Tan, Lili Zhou

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.