Ran Jing

30 papers A* 2C 1Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
AAAI
Ran Jing, Geng Tu, Yice Zhang, Ruifeng Xu
2026 J jnl
Pattern Recognit.
Geng Tu, Ran Jing, Xuan Luo, Erik Cambria, Wenjie Li, Ruifeng Xu
2026 J jnl
CoRR
Beibei Liu, Akua Dickson, Ran Jing, Andrew P. Sabelhaus
2025 J jnl
Neurocomputing
Yu Lei, Ran Jing, Fangfang Li, Quanxue Gao, Cheng Deng
2025 J jnl
CoRR
Qingsen Ma, Dianyun Wang, Ran Jing, Yujun Sun, Zhenbo Xu
2025 J jnl
IEEE Control. Syst. Lett.
Ran Jing, Charles Van Hook, Ilyoung Yang, Andrew P. Sabelhaus
2025 J jnl
IEEE Trans. Affect. Comput.
Geng Tu, Ran Jing, Bin Liang, Yue Yu, Min Yang, Bing Qin, Ruifeng Xu
2025 J jnl
CoRR
Taha Ondogan, Ran Jing, Andrew P. Sabelhaus, Roberto Tron
2025 J jnl
Comput. Geosci.
Ran Jing, Yanlin Shao, Qihong Zeng, Yuangang Liu, Wei Wei, Binqing Gan, Xiaolei Duan
2025 — conf
RoboSoft
Akua Dickson, Juan C. Pacheco Garcia, Ran Jing, Meredith L. Anderson, Andrew P. Sabelhaus
2025 J jnl
IEEE Robotics Autom. Lett.
Akua Dickson, Juan C. Pacheco Garcia, Meredith L. Anderson, Ran Jing, Sarah Alizadeh-Shabdiz, Audrey X. Wang, Charles DeLorey, Zach J. Patterson, Andrew P. Sabelhaus
2025 J jnl
CoRR
Akua Dickson, Juan C. Pacheco Garcia, Meredith L. Anderson, Ran Jing, Sarah Alizadeh-Shabdiz, Audrey X. Wang, Charles DeLorey, Zach J. Patterson, Andrew P. Sabelhaus
2025 — conf
AIMS
Ran Jing, Geng Tu, Ruifeng Xu
2024 J jnl
Inf. Sci.
Hao Ren, Fengshi Jing, Zhurong Chen, Shan He, Jiandong Zhou, Le Liu, Ran Jing, Wanmin Lian, Junzhang Tian, Qingpeng Zhang, Zhongzhi Xu, Weibin Cheng
2024 J jnl
IEEE Robotics Autom. Lett.
Andrew Choi, Ran Jing, Andrew P. Sabelhaus, Mohammad Khalid Jawed
2024 J jnl
CoRR
Meredith L. Anderson, Ran Jing, Juan C. Pacheco Garcia, Ilyoung Yang, Sarah Alizadeh-Shabdiz, Charles DeLorey, Andrew P. Sabelhaus
2024 — conf
RoboSoft
Meredith L. Anderson, Ran Jing, Juan C. Pacheco Garcia, Ilyoung Yang, Sarah Alizadeh-Shabdiz, Charles DeLorey, Andrew P. Sabelhaus
2024 J jnl
CoRR
Akua Dickson, Juan C. Pacheco Garcia, Ran Jing, Meredith L. Anderson, Andrew P. Sabelhaus
2024 J jnl
CoRR
Ran Jing, Meredith L. Anderson, Juan C. Pacheco Garcia, Andrew P. Sabelhaus
2023 A* conf
EMNLP
Geng Tu, Ran Jing, Bin Liang, Min Yang, Kam-Fai Wong, Ruifeng Xu
2023 J jnl
Computing
Yang Zhao, Zhen Shao, Wei Zhao, Jun Han, Qingru Zheng, Ran Jing
2023 J jnl
Remote. Sens.
Ran Jing, Fuzhou Duan, Fengxian Lu, Miao Zhang, Wenji Zhao
2023 J jnl
CoRR
Andrew Choi, Ran Jing, Andrew P. Sabelhaus, Mohammad Khalid Jawed
2022 J jnl
Remote. Sens.
Ran Jing, Fuzhou Duan, Fengxian Lu, Miao Zhang, Wenji Zhao
2022 J jnl
CoRR
Ran Jing, Meredith L. Anderson, Miguel Ianus-Valdivia, Amsal Akber Ali, Carmel Majidi, Andrew P. Sabelhaus
2021 C conf
ACC
Ran Jing, Xiangrui Zeng
2021 J jnl
CoRR
Ran Jing, Xiangrui Zeng
2020 J jnl
IEEE Access
Ran Jing, Zhaoning Gong, Hongliang Guan
2018 J jnl
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Ran Jing, Zhaoning Gong, Wending Zhu, Hongliang Guan, Wenji Zhao
2016 J jnl
Int. J. Appl. Earth Obs. Geoinformation
Duo A, Wenji Zhao, Xinyuan Qu, Ran Jing, Kai Xiong

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.