Gelan Yang

30 papers Journal 26Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Internet Things
Hua Qin, Ni Li, Gelan Yang, Yang Peng
2026 J jnl
J. Netw. Comput. Appl.
Hua Qin, Hao Chen, Ni Li, Yaqi Deng, Gelan Yang, Yang Peng
2025 J jnl
IEEE Trans. Fuzzy Syst.
Xiang Wu, Yongting Zhang, Khin Wee Lai, Ming-Zhao Yang, Gelan Yang, Huanhuan Wang
2025 J jnl
Future Gener. Comput. Syst.
Hua Qin, Hao Chen, Ni Li, Yaqi Deng, Gelan Yang, Yang Peng
2025 J jnl
IEEE Trans. Green Commun. Netw.
Hua Qin, Hao Chen, Ni Li, Yaqi Deng, Gelan Yang, Yang Peng
2024 J jnl
IEEE Internet Things J.
Hua Qin, Weihong Chen, Ni Li, Tao Wang, Yaqi Deng, Gelan Yang, Yang Peng
2024 J jnl
J. Netw. Comput. Appl.
Hua Qin, Ni Li, Tao Wang, Gelan Yang, Yang Peng
2024 J jnl
Ad Hoc Networks
Hao Chen, Hua Qin, Gelan Yang, Yang Peng
2023 J jnl
Wirel. Networks
Gelan Yang, Yiyi Xu, Li Tu
2023 J jnl
Comput. Networks
Hao Chen, Hua Qin, Weimin Chen, Ni Li, Tao Wang, Jianxin He, Gelan Yang, Yang Peng
2023 J jnl
J. Netw. Comput. Appl.
Hua Qin, Weimin Chen, Ni Li, Tao Wang, Hao Chen, Gelan Yang, Yang Peng
2022 J jnl
Int. J. Intell. Syst.
Wen Si, Rong Tan, Gelan Yang
2021 J jnl
EURASIP J. Wirel. Commun. Netw.
Chengfeng Long, Xingxin Liu, Yakun Yang, Tao Zhang, Siqiao Tan, Kui Fang, Xiaoyong Tang, Gelan Yang
2021 J jnl
Electron. Commer. Res.
Gelan Yang, Qin Yang, Huixia Jin
2020 J jnl
Multim. Tools Appl.
Huixia Jin, Yuanyuan Fu, Gelan Yang, Xiaoning Zhu
2020 J jnl
Wirel. Commun. Mob. Comput.
Wen Si, Jing Zhang, Yu-Dong Li, Wei Tan, Yifan Shao, Gelan Yang
2019 — ed.
ADHIP
Shuai Liu, Gelan Yang
2019 J jnl
Clust. Comput.
Ke Huang, Hao Lan Zhang, Gelan Yang
2019 J jnl
Soft Comput.
Wen Si, Gelan Yang, XiangGui Chen, Jie Jia
2019 J jnl
Clust. Comput.
Gelan Yang, Wei Tan, Huixia Jin, Tuo Zhao, Li Tu
2018 J jnl
Future Gener. Comput. Syst.
Tao Hu, Hao Zhang, Xinyan Zhu, Julaine Clunis, Gelan Yang
2018 J jnl
J. Adv. Comput. Intell. Intell. Informatics
Gelan Yang, James Nightingale
2016 J jnl
Multim. Tools Appl.
Gelan Yang, Yudong Zhang, Jiquan Yang, Genlin Ji, Zhengchao Dong, Shuihua Wang, Chunmei Feng, Qiong Wang
2016 J jnl
Multim. Tools Appl.
Cong Liu, Weisheng Xu, Qidi Wu, Gelan Yang
2014 J jnl
Int. J. Distributed Sens. Networks
Gelan Yang, Shuai Liu
2014 J jnl
Int. J. Distributed Sens. Networks
Gelan Yang, Deguang Le, Yong Jin, Suqun Cao
2012 J jnl
J. Electronic Imaging
Yue Wu, Gelan Yang, Huixia Jin, Joseph P. Noonan
2010 — conf
ICONIP (2)
Gelan Yang, Xue Xu, Gang Yang, Jianming Zhang
2009 — conf
WKDD
Gelan Yang, Xue Xu, Li Tu
2008 — conf
CSSE (1)
Gelan Yang, Xue Xu, Jianming Zhang

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.