Qinhao Wu

11 papers B 1Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Performance Analysis of IRS-Assisted UAV Relaying System With Imperfect Phase Compensation.
IEEE Access
Xiaoshan Ma, Zixuan Zhang, Qinhao Wu, Yingshuai Xu
2026 J jnl
State Estimation for Smart Grid Under Hybrid Cyberattacks: Analysis of Attack Stealthiness and Estimator Stability.
IEEE Trans. Ind. Informatics
Qinhao Wu, Hong Lin, Xiaoshan Ma, Chenxiao Cai
2025 J jnl
Test-Time Adaptation of a Multi-Class Object Localization and Size Estimation Framework for Smart Agriculture Applications.
Cogn. Comput.
Zixu Liu, Qinhao Wu, Yuan Chai, Huan Yu
2024 J jnl
A customised down-sampling machine learning approach for sepsis prediction.
Int. J. Medical Informatics
Qinhao Wu, Fei Ye, Qianqian Gu, Feng Shao, Xi Long, Zhuozhao Zhan, Junjie Zhang, Jun He, Yangzhou Zhang, Quan Xiao
2024 — conf
FPRAN: A Hierarchical Generative Model for Few-Shot Pantograph Fault Diagnosis.
ICNSC
Qihui Xu, Jiacheng Tang, Qi Kang, Qinhao Wu, Shuaiyu Yao
2024 — conf
Using Pyramid Vision Transformer for Assisting Glaucoma Diagnosis with Small Datasets.
ICNSC
Qinhao Wu, Shuaiyu Yao, Wendi Ouyang, Jingzhe Huang, Qi Kang
2022 — conf
Knowledge Graph Construction and Intelligent Application Based on Enterprise-level Big Data of Nuclear Power Industry.
ITQM
Zhengyu Zou, Qinhao Wu, Zhiqiang Zhu
2022 — conf
Texture Segmentation on Synthesized Vascular Image.
ICNSC
Qinhao Wu, Shuaiyu Yao, Tim Morris, Qi Kang
2021 J jnl
BRIEF-based face descriptor: an application to automatic facial expression recognition (AFER).
Signal Image Video Process.
Nora Al-Garaawi, Qinhao Wu, Tim Morris
2021 B conf
Joint Space-Frequency Rendezvous for Multi-UAV Relaying Systems.
SECON
Zixuan Zhang, Yunlong Wu, Qinhao Wu, Jinlin Peng, Bo Zhang
2019 J jnl
Anti-Jamming Communications in UAV Swarms: A Reinforcement Learning Approach.
IEEE Access
Jinlin Peng, Zixuan Zhang, Qinhao Wu, Bo 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.