Fei Niu

11 papers C 3Journal 4Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Research on multivariate time series prediction method for upper motion intention perception. Eng. Appl. Artif. Intell. Yang Meng, Shuhao Liang, Jinda Wang, Fei Niu, Wendong Wang, Zelin Ci
2023	J	`jnl`	A Comparative Study of Several Popular Models for Near-Land Surface Air Temperature Estimation. Remote. Sens. Dewei Yang, Shaobo Zhong, Xin Mei, Xinlan Ye, Fei Niu, Weiqi Zhong
2023	J	`jnl`	Fusing Social Media, Remote Sensing, and Fire Dynamics to Track Wildland-Urban Interface Fire. Remote. Sens. Weiqi Zhong, Xin Mei, Fei Niu, Xin Fan, Shengya Ou, Shaobo Zhong
2022	—	`conf`	Correlation Analysis of Vegetation Drought and Influencing Factors and a Preliminary Prediction Model Based on Convolutional LSTM. Agro-Geoinformatics Dewei Yang, Shaobo Zhong, Xin Mei, Fei Niu, Wei Zhu
2021	—	`conf`	Comparison of cloud cover between satellite and ground observation over the Tibet Plateau. ICISCAE (ACM) Yisheng Zhang, Zengliang Zhao, Fei Niu
2021	J	`jnl`	Initial Results of Modeling and Improvement of BDS-2/GPS Broadcast Ephemeris Satellite Orbit Based on BP and PSO-BP Neural Networks. Remote. Sens. Hanlin Chen, Fei Niu, Xing Su, Tao Geng, Zhimin Liu, Qiang Li
2013	C	`conf`	Case Studies in Learning-Based Testing. ICTSS Lei Feng, Simon Lundmark, Karl Meinke, Fei Niu, Muddassar A. Sindhu, Peter Y. H. Wong
2012	—	`conf`	An Incremental Learning Algorithm for Extended Mealy Automata. ISoLA (1) Karl Meinke, Fei Niu
2011	—	`conf`	Learning-Based Software Testing: A Tutorial. ISoLA Workshops Karl Meinke, Fei Niu, Muddassar A. Sindhu
2011	C	`conf`	Learning-Based Testing for Reactive Systems Using Term Rewriting Technology. ICTSS Karl Meinke, Fei Niu
2010	C	`conf`	A Learning-Based Approach to Unit Testing of Numerical Software. ICTSS Karl Meinke, Fei Niu

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.