Tao Xie

15 papers C 3Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Nonsmooth Dynamic Output Feedback Strategy for Nonlinear Systems With Nonparametric Uncertainties: Application to Robot Manipulators. IEEE Trans. Ind. Electron. Xin Dong, Tao Xie, Wentao Wu, Hongtian Chen, Chuanlin Zhang, Weidong Zhang
2025	J	`jnl`	A Cooperative Heterogeneous System Design of Unmanned Aerial and Surface Vehicles. IEEE Trans. Instrum. Meas. Peng Han, Wei-Dong Zhang, Tao Xie, Simon X. Yang, Hongtian Chen
2025	J	`jnl`	Finite-Time Consensus of Input-Constrained Networked Fractional-Order Systems and Its Application to Ship Power Systems. IEEE Trans Autom. Sci. Eng. Jin Ke, Ying Li, Tao Xie
2024	J	`jnl`	A Physical-Feature Interactive Expansion-Based Fault Diagnosis Method With Applications to Marine Current Turbines. IEEE Trans. Ind. Electron. Tao Xie, Weidong Zhang, Yufei Tang, Hongtian Chen
2024	J	`jnl`	A Physics-Guided Wavelet Feature Extraction Method for Fault Diagnosis of Thruster Blades. IEEE Trans. Instrum. Meas. Tao Xie, Zhihuan Hu, Wei-Dong Zhang, Zhongmei Li, Hongtian Chen
2024	J	`jnl`	Fault Diagnosis for Multi-Phase Inverters: A Telescoping Modulus Approach With Convolutional Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs Tao Xie, Zhihuan Hu, Weidong Zhang, Hongtian Chen
2024	—	`conf`	Maneuvering Control of Uncertain Nonlinear Systems: An Output Regulation Viewpoint. CDC Yibo Zhang, Wentao Wu, Tao Xie, Peng Cheng, Di Wu, Weidong Zhang
2023	C	`conf`	An entropy clustering method for blades biofouling detection of marine current turbine under variable marine current speeds. SAFEPROCESS Yujie Xu, Tianzhen Wang, Tao Xie, Zhibin Zhou, Claude Delpha
2023	J	`jnl`	Marine Current Turbine Multifault Diagnosis Based on Optimization Resampled Modulus Feature and 1-D-CNN. IEEE Trans. Instrum. Meas. Tao Xie, Wei-Dong Zhang, Yibo Zhang, Zahoor Ahmed, Yufei Tang
2021	—	`conf`	Impact Fault Detection for Marine Current Turbine Blade via Hilbert Envelope Spectrum and PCA. CAA SAFEPROCESS Tao Xie, Tianzhen Wang
2020	C	`conf`	A VMD Denoising-based Imbalance Fault Detection Method for Marine Current Turbine. IECON Jiajia Wei, Tao Xie, Tianzhen Wang
2020	J	`jnl`	Imbalance Fault Detection Based on the Integrated Analysis Strategy for Marine Current Turbines under Variable Current Speed. Entropy Tao Xie, Tianzhen Wang, Demba Diallo, Hubert Razik
2019	C	`conf`	A Control Strategy for Active Disturbance Rejection Control Based on Marine Current Turbine. IECON Xiangyang Zhou, Tianzhen Wang, Milu Zhang, Tao Xie, Zhichao Li, Shreya Pandey
2019	J	`jnl`	A Self-Learning Fault Diagnosis Strategy Based on Multi-Model Fusion. Inf. Tianzhen Wang, Jingjing Dong, Tao Xie, Demba Diallo, Mohamed Benbouzid
2019	J	`jnl`	A Sparse Autoencoder and Softmax Regression Based Diagnosis Method for the Attachment on the Blades of Marine Current Turbine. Sensors Yilai Zheng, Tianzhen Wang, Bin Xin, Tao Xie, Yide 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.