Yang Zhang

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multiarray Transmitting Technique of Multiturn Small-Loop TEM for High-Performance Measurement. IEEE Trans. Instrum. Meas. Jun Lin, Tianyu Wang, Yuqi Zhao, Shilin Qiu, Yang Zhang
2025	J	`jnl`	Transient Electromagnetic Data Noise Suppression Method Based on MPA-VMD-SVD. IEEE Access Yuheng Li, Yang Zhang, Jiwei Shen, Xinze Wen, Jianmei Chen, Wanqiang Zhu
2024	J	`jnl`	An Efficient Transient Electromagnetic Uncertainty 1-D Inversion Method Based on Mixture Density Network. IEEE Trans. Geosci. Remote. Sens. Shengbao Yu, Yihan Shen, Fanze Meng, Jian Chen, Yang Zhang
2024	J	`jnl`	Early FID Signal Detection Technique With a Gradient Coil for Magnetic Resonance Sounding. IEEE Trans. Instrum. Meas. Yang Zhang, Meiting Wang, Suhang Li, Jian Chen, Jie Lin, Xinlei Shang
2024	J	`jnl`	Magnetotelluric Inversion Constrained by Guided Fuzzy c-Means Clustering Using Adaptive Virtual Rock Physics Information. IEEE Trans. Geosci. Remote. Sens. Rongzhe Zhang, Jiarong Zhang, Tonglin Li, Yang Zhang, Kaixin Du, Xiaoming Pan
2024	J	`jnl`	Multiparallel Differential JFET Low-Noise Amplifier Circuit Based on Discrete Current Source. IEEE Trans. Instrum. Meas. Yuqi Zhao, Tianyu Wang, Yang Zhang, Jun Lin
2023	J	`jnl`	A K-means Clustering and Triangulation-Based Scheme for Accurate Detection of Multiple Adjacent Through-the-Wall Human Targets. IEEE Trans. Instrum. Meas. Jingfeng Shan, Yang Zhang, Qian Zhao, Jun Lin
2023	J	`jnl`	A Short Dead Time Detection Method for Surface Nuclear Magnetic Resonance Based on Decoupling Technology. IEEE Trans. Geosci. Remote. Sens. Tingting Lin, Suhang Li, Meiting Wang, Yang Zhang
2023	J	`jnl`	High-Resolution Quasi-Three-Dimensional Transient Electromagnetic Imaging Method for Urban Underground Space Detection. IEEE Trans. Ind. Informatics Jian Chen, Yang Zhang, Tingting Lin
2022	J	`jnl`	Denoising of Transient Electromagnetic Data Based on the Minimum Noise Fraction-Deep Neural Network. IEEE Geosci. Remote. Sens. Lett. Yishu Sun, Sihe Huang, Yang Zhang, Jun Lin
2022	J	`jnl`	Integrated TEM and GPR Data Interpretation for High-Resolution Measurement of Urban Underground Space. IEEE Trans. Instrum. Meas. Jian Chen, Wenfeng Jia, Yang Zhang, Jun Lin
2022	J	`jnl`	Rapid and High-Resolution Detection of Urban Underground Space Using Transient Electromagnetic Method. IEEE Trans. Ind. Informatics Jun Lin, Jian Chen, Yang Zhang
2022	J	`jnl`	Transient Electromagnetic Machine Learning Inversion Based on Pseudo Wave Field Data. IEEE Trans. Geosci. Remote. Sens. Jian Chen, Yang Zhang, Tingting Lin
2022	J	`jnl`	Weak Coupling Technology With Noncoplanar Bucking Coil in a Small-Loop Transient Electromagnetic System. IEEE Trans. Ind. Electron. Jian Chen, Shuai Pi, Yang Zhang, Tingting Lin
2021	J	`jnl`	An Improved Air-Core Coil Sensor With a Fast Switch and Differential Structure for Prepolarization Surface Nuclear Magnetic Resonance. IEEE Trans. Instrum. Meas. Tingting Lin, Kun Zhou, Chao Chen, Yang 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.