Yanhua Ma

32 papers A 1C 2Journal 21Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
J. Artif. Intell. Soft Comput. Res.
Yanhua Ma, Ke Lv, Li-Juan Liu, Hamid Reza Karimi
2025 J jnl
BioData Min.
Yinyao Ma, Hanlin Lv, Yanhua Ma, Xiao Wang, Longting Lv, Xuxia Liang, Lei Wang
2025 J jnl
Comput. Electron. Agric.
Tao Zhang, Chuanzhong Xuan, Yanhua Ma, Zhaohui Tang, Xinyu Gao
2025 J jnl
Microelectron. J.
Yuhao Liu, Yanhua Ma
2025 J jnl
IEEE Trans. Aerosp. Electron. Syst.
Chong-Yi Sun, Xu Fang, Yanhua Ma, Hui Chen, Xi-Ming Sun
2024 J jnl
Eng. Appl. Artif. Intell.
Xiwen Zhang, Chuanzhong Xuan, Yanhua Ma, ZhaoHui Tang, Xinyu Gao
2024 J jnl
Comput. Electron. Agric.
Xiwen Zhang, Chuanzhong Xuan, Yanhua Ma, ZhaoHui Tang, Jiahe Cui, Haoyu Zhang
2024 J jnl
Microelectron. J.
Yuhao Liu, Yanhua Ma, Bowei Zhang, Lu Liu, Jie Wang, Shibo Tang
2023 J jnl
Int. J. Control
Tongjian Liu, Yanhua Ma, Rui Wang, Xi-Ming Sun
2023 — conf
CECCT
Shaojing Song, Ju Wang, Siyue Zhu, Bohao Li, Yanhua Ma, Ying Guo
2022 J jnl
Comput. Electron. Agric.
Xiwen Zhang, Chuanzhong Xuan, Yanhua Ma, He Su, Mengqin Zhang
2022 J jnl
IET Circuits Devices Syst.
Yanhua Ma, Xiangzhe Kong, Yu-Chun Chang
2022 — conf
MLNLP
Xuling Li, Zhenlan Dou, Yanhua Ma, Xuan Zhang, Xuefeng He
2022 J jnl
Sensors
Xiantao Fan, Chuanzhong Xuan, Mengqin Zhang, Yanhua Ma, Yunqi Meng
2022 J jnl
Microelectron. J.
Yan Liu, Yanhua Ma, Yu-Chun Chang
2021 J jnl
Comput. Electron. Agric.
Kui Wang, Pei Wu, Chuanzhong Xuan, Yongan Zhang, Ku Bu, Yanhua Ma
2021 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Yuhu Wu, Kaijian Hu, Xi-Ming Sun, Yanhua Ma
2021 J jnl
IET Circuits Devices Syst.
Yanhua Ma, Jitong Li, Ming Zhu, Yu-Chun Chang
2019 — conf
ICCA
Yanhua Ma, Xian Du, Jianqin Mao, Yuqi Jin
2019 J jnl
Sensors
Nan Ding, Haoxuan Ma, Chuanguo Zhao, Yanhua Ma, Hongwei Ge
2019 — conf
SmartIoT
Nan Ding, Haoxuan Ma, Chuanguo Zhao, Yanhua Ma, Hongwei Ge
2019 J jnl
Comput. Electr. Eng.
Nan Ding, Haoxuan Ma, Huanbo Gao, Yanhua Ma, Guozhen Tan
2018 J jnl
Comput. Electron. Agric.
Lina Zhang, Pei Wu, Tana Wuyun, Xinhua Jiang, Chuanzhong Xuan, Yanhua Ma
2018 — conf
SmartIoT
Nan Ding, Zhuanglin Gao, Xianghua Meng, Yanhua Ma
2018 A conf
FPGA
Nan Ding, Wei Zhang, Yanhua Ma, Zhenguo Gao
2018 J jnl
Inf. Sci.
Yong-Feng Gao, Xian Du, Yanhua Ma, Xi-Ming Sun
2018 — conf
IntelliSys (1)
Yanhua Ma, Chengbao Cui, Yong Wang
2014 C conf
ISNN
Yongxin Guo, Zhen Zhang, Jianqin Mao, Haishan Ding, Yanhua Ma
2011 J jnl
IEEE Trans. Control. Syst. Technol.
Yanhua Ma, Jianqin Mao, Zhen Zhang
2008 C conf
ICARCV
Wei Lei, Jianqin Mao, Yanhua Ma
2007 — conf
SNPD (2)
Yanhua Ma, Chuanjun Liu, Haiying Sun
2006 — conf
ISDA (2)
Yanhua Ma, Chuanjun Liu, Haiying Sun

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.