Dan Ma

37 papers C 3Journal 24Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
IEEE Trans Autom. Sci. Eng.
Qingchuan Feng, Dan Ma, Dong Yang
2026 J jnl
IEEE Trans. Control. Netw. Syst.
Yuzhuo Zhao, Dan Ma, Jingge Wang, Yanyan Liu, Hongjun Lin
2026 J jnl
IEEE Trans Autom. Sci. Eng.
Zhaoqi Liu, Dan Ma
2025 J jnl
IEEE Trans Autom. Sci. Eng.
Dan Ma, Yuqian Xing, Yanyan Liu, Hongjun Lin
2024 J jnl
J. Frankl. Inst.
Yuqian Xing, Yang Tao, Dan Ma, Chao Chen, Hongjun Lin
2024 J jnl
IEEE Trans. Autom. Control.
Yanling Ding, Dan Ma, Qi Mao, Hui Peng, Jie Chen
2023 C conf
ACC
Qi Mao, Dan Ma, Yanling Ding, Hui Peng, Jie Chen
2023 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Peng Wang, Hong Sang, Dan Ma
2023 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Lili Li, Mingzhe Ju, Dan Ma, Tieshan Li
2022 J jnl
SIAM J. Control. Optim.
Dan Ma, Jianqi Chen, Renquan Lu, Jie Chen, Tianyou Chai
2022 J jnl
IEEE Trans. Autom. Control.
Dan Ma
2022 J jnl
IEEE Trans. Autom. Control.
Jianqi Chen, Dan Ma, Yong Xu, Jie Chen
2022 J jnl
Autom.
Dan Ma, Islam Boussaada, Jianqi Chen, Catherine Bonnet, Silviu-Iulian Niculescu, Jie Chen
2022 J jnl
IEEE Trans. Cybern.
Dan Ma, Jie Chen, Tianyou Chai
2021 J jnl
IEEE Trans. Autom. Control.
Dan Ma, Jianqi Chen, Renquan Lu, Jie Chen, Tianyou Chai
2020 C conf
ACC
Dan Ma, Islam Boussaada, Catherine Bonnet, Silviu-Iulian Niculescu, Jie Chen
2020 J jnl
IEEE Trans. Syst. Man Cybern. Syst.
Li Tang, Dan Ma, Jun Zhao
2020 J jnl
IEEE Trans. Circuits Syst.
Ying Zhao, Yu Liu, Dan Ma
2020 — conf
CDC
Jianqi Chen, Dan Ma, Yong Xu, Jie Chen
2019 J jnl
IET Signal Process.
Li Tang, Dan Ma, Jun Zhao
2019 J jnl
IEEE Trans. Autom. Control.
Dan Ma, Rui Tian, Adil Zulfiqar, Jie Chen, Tianyou Chai
2019 J jnl
IEEE Trans. Autom. Control.
Dan Ma, Jie Chen
2019 — conf
CDC
Dan Ma, Jianqi Chen, Renquan Lu, Jie Chen
2019 J jnl
Autom.
Dan Ma, Jianqi Chen, Andong Liu, Jie Chen, Silviu-Iulian Niculescu
2019 J jnl
J. Frankl. Inst.
Peng Wang, Dan Ma, Jun Zhao
2019 — conf
ICCA
Zhuoyu Li, Dan Ma, Jun Zhao
2019 J jnl
Autom.
Yuanye Chen, Adil Zulfiqar, Dan Ma, Yang Shi, Jie Chen, Frank Allgöwer
2018 — conf
CDC
Dan Ma, Rui Tian, Adil Zulfiqar, Jie Chen, Tianyou Chai
2018 J jnl
Syst. Control. Lett.
Ying Zhao, Dan Ma, Jun Zhao
2017 — conf
CDC
Dan Ma, Jie Chen
2017 — conf
CDC
Yuanye Chen, Adil Zulfiqar, Dan Ma, Yang Shi, Jie Chen
2015 J jnl
Syst. Control. Lett.
Dan Ma, Jun Zhao
2014 — conf
ICCA
Dan Ma
2013 — conf
CSCS
Dan Ma, Georgi M. Dimirovski
2010 C conf
ACC
Dan Ma, Georgi M. Dimirovski, Jun Zhao
2009 — conf
CDC
Dan Ma, Zhongfeng Guo, Georgi M. Dimirovski, Jun Zhao
2009 — conf
CCA/ISIC
Dan Ma, Georgi M. Dimirovski, Jun Zhao

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.