Gang Wang

18 papers C 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Network-Based Event-Triggered Optimal Containment Control for Stochastic Multiagent Systems With Asymmetric State Constraints.
IEEE Internet Things J.
Xue Yu, Gang Wang, Huaguang Zhang, Yanhong Luo
2026 J jnl
Predictor-Based Fractional-Order Sliding Mode LFC for Interconnected Power Systems With Input Delay.
IEEE Trans. Cybern.
Xue Yu, Gang Wang, Yuan Zhong, Huaguang Zhang, Jinhai Liu
2026 J jnl
Switched Observer-Based Event-Triggered LFC for Networked Power Systems Under Hybrid Attacks.
IEEE Trans. Netw. Sci. Eng.
Gang Wang, Xue Yu, Huaguang Zhang, Yanhong Luo
2025 J jnl
Defect Size Quantification for Pipeline Dynamic MFL Detection via 3-D Dynamic Magnetic Dipole Forward Model.
IEEE Trans. Instrum. Meas.
Yuan Zhong, Gang Wang, Xue Yu, Liang Jia, Liwei Wang, Huaguang Zhang
2025 J jnl
Event-triggered consensus for delayed multi-agent systems based on non-uniform delay partition.
J. Frankl. Inst.
Xue Yu, Gang Wang, Ce Liang, Jinhai Liu
2024 J jnl
Adaptive Dynamic Event-Triggered Distributed Output Observer for Leader-Follower Multiagent Systems Under Directed Graphs.
IEEE Trans. Neural Networks Learn. Syst.
Juan Zhang, Huaguang Zhang, Wei Wang, Yanhong Luo, Gang Wang
2024 J jnl
Event-Triggered Practical Fixed-Time Containment Control for Stochastic Multiagent Systems With Input Delay.
IEEE Trans. Fuzzy Syst.
Xue Yu, Gang Wang, Liang Jia, Huaguang Zhang
2023 J jnl
A Composite Approach of Electromagnetic Acoustic Transducer and Eddy Current for Inner and Outer Corrosion Defects Detection.
IEEE Trans. Instrum. Meas.
Huadong Song, Qi Xiao, Gang Wang, Jianpeng Zhang, Wenguang Hu
2023 J jnl
A Method of Rayleigh Wave Combined With Coil Spatial Pulse Compression Technique for Crack Defects Detection.
IEEE Trans. Instrum. Meas.
Jian Feng, Qiangxin Li, Qi Xiao, Gang Wang
2023 J jnl
Eddy Current Sensor With Multiple Spatial Degrees of Freedom for Concentrating Magnetic Fields.
IEEE Trans. Instrum. Meas.
Gang Wang, Yuan Zhong, Qi Xiao, Qiangxin Li
2021 J jnl
Stability and Stabilization of T-S Fuzzy Time-Delay System via Relaxed Integral Inequality and Dynamic Delay Partition.
IEEE Trans. Fuzzy Syst.
Gang Wang, Liang Jia, Huaguang Zhang
2018 J jnl
A Novel Denoising Algorithm of Electromagnetic Ultrasonic Detection Signal Based on Improved EEMD Method.
J. Electr. Comput. Eng.
Wenkang Gong, Qi Liu, Wenhao Du, Weichen Xu, Gang Wang
2010 J jnl
Fuzzy hyperbolic neural network with time-varying delays.
Fuzzy Sets Syst.
Gang Wang, Huaguang Zhang, Bing Chen, Shaocheng Tong
2007 J jnl
New criteria of global exponential stability for a class of generalized neural networks with time-varying delays.
Neurocomputing
Huaguang Zhang, Gang Wang
2006 C conf
Global exponential stability of generalized neural networks with time-varying delays.
ISCAS
Gang Wang, Huaguang Zhang, Derong Liu
2006 — conf
New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays.
ISNN (1)
Gang Wang, Huaguang Zhang, Chonghui Song
2005 — conf
Global Exponential Stability of a Class of Generalized Neural Networks with Variable Coefficients and Distributed Delays.
ICIC (1)
Huaguang Zhang, Gang Wang
2004 — conf
A New Method for Robust Stability Analysis of a Class of Recurrent Neural Networks with Time Delays.
ISNN (1)
Huaguang Zhang, Gang Wang

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.