Zehua Jia

14 papers Journal 10Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep Hamming Hashing Integrating Transformer and Attention Mechanism.
IEEE Trans. Emerg. Top. Comput. Intell.
Xinyi Wang, Dongsheng Guo, Weidong Zhang, Zehua Jia, Shan Xue, Wenbo Zhang
2025 J jnl
Discrete-Time Zeroing Neural Network for Time-Dependent Constrained Nonlinear Equation With Application to Dual-Arm Robot System.
IEEE Trans. Syst. Man Cybern. Syst.
Dongsheng Guo, Yilin Yu, Naimeng Cang, Zehua Jia, Weidong Zhang, Zhisheng Ma
2025 — conf
Efficient Inverse Reinforcement Learning for Unknown Discrete-Time Systems.
CDC
Longyang Huang, Ruonan Liu, Zehua Jia, Weidong Zhang
2025 J jnl
Finite-Time $\mathcal {H}_{\infty }$ Event-Triggered SMC for T-S Fuzzy UMVs Under Aperiodic DoS Attacks.
IEEE Trans. Fuzzy Syst.
Jiangming Xu, Peng Cheng, Xiang Zhang, Jun Cheng, Zehua Jia, Weidong Zhang
2025 J jnl
Global Universal Finite-Time Stabilizing Control for Feedforward Nonlinear Systems With Non-Parametric Uncertainty: A Non-Nested Strategy.
IEEE Trans Autom. Sci. Eng.
Xin Dong, Xiang Zhang, Hongtian Chen, Zehua Jia, Chuanlin Zhang, Wei-Dong Zhang
2025 J jnl
Harmonic Noise Rejection Zeroing Neural Network for Time-Dependent Equality-Constrained Quadratic Program and Its Application to Robot Arms.
IEEE Trans. Ind. Informatics
Dongsheng Guo, Chan Zhang, Naimeng Cang, Zehua Jia, Shan Xue, Weidong Zhang, Shuai Li, Yu-Long Wang
2025 J jnl
Stabilization of 2D Markov Jump Systems With Directional Communication Delays: Handling Delayed Modes and Asynchronous Modes.
IEEE Trans Autom. Sci. Eng.
Xiang Zhang, Shuping He, Zehua Jia, Dongsheng Guo, Weidong Zhang
2024 J jnl
Adaptive Fault-Tolerant Fuzzy Containment Control for Networked Autonomous Surface Vehicles: A Noncooperative Game Approach.
IEEE Trans. Fuzzy Syst.
Wentao Wu, Yibo Zhang, Zehua Jia, Jun-Guo Lu, Weidong Zhang
2024 — conf
Lightweight Maritime Ship Object Detection Based on YOLOv7-Tiny.
ICIRA (6)
Weixiang Feng, Wenbo Zhang, Dongsheng Guo, Zehua Jia, Shan Xue
2024 J jnl
New discrete-time zeroing neural network for solving time-dependent linear equation with boundary constraint.
Artif. Intell. Rev.
Naimeng Cang, Feng Qiu, Shan Xue, Zehua Jia, Dongsheng Guo, Zhijun Zhang, Weibing Li
2024 J jnl
Robust Distributed Cooperative Rendezvous Control for Heterogeneous Marine Vehicles Using Model Predictive Control.
IEEE Trans. Veh. Technol.
Zehua Jia, Haibo Lu, Hongtian Chen, Weidong Zhang
2024 J jnl
Safety-Preserving Lyapunov-Based Model Predictive Rendezvous Control for Heterogeneous Marine Vehicles Subject to External Disturbances.
IEEE Trans. Cybern.
Zehua Jia, Kunwu Zhang, Yang Shi, Weidong Zhang
2024 — conf
Stabilization of Markov Jump Systems Under Replay Attacks.
ASCC
Xiang Zhang, Peng Cheng, Di Wu, Zehua Jia, Zhihuan Hu, Weidong Zhang
2021 — conf
Control Strategies for Target-Attacker-Defender Games of USVs.
CACRE
Bin Lin, Lei Qiao, Zehua Jia, Zhijian Sun, Min Sun, Weidong 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.