Zhengchun Du

13 papers Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Enhanced modeling method of thermal behaviors in machine tool motorized spindles based on the mixture of thermal mechanism and machine learning. J. Intell. Manuf. Yun Yang, Jun Lv, Yukun Xiao, Xiaobing Feng, Zhengchun Du
2025	J	`jnl`	Geometric Error Identification and Compensation of Cradle-Type Rotary Axis in 5-Axis Machine Tool Using Multilateration Measurement. IEEE Trans. Instrum. Meas. Jun Lv, Yukun Xiao, Wentao He, Guangyan Ge, Zhengchun Du
2023	J	`jnl`	Real-Time Temperature Estimation in the Undetectable Region of Motorized Spindle. IEEE Trans. Instrum. Meas. Zhengchun Du, Yun Yang, Jun Lv, Xiaobing Feng
2023	J	`jnl`	Robust modeling method for thermal error of CNC machine tools based on random forest algorithm. J. Intell. Manuf. Mengrui Zhu, Yun Yang, Xiaobing Feng, Zhengchun Du, Jianguo Yang
2022	J	`jnl`	An efficient prediction method for the dynamic deformation of thin-walled parts in flank milling. Comput. Aided Des. Guangyan Ge, Yukun Xiao, Xiaobing Feng, Zhengchun Du
2020	J	`jnl`	An Effective Control Scheme for Multimodal SSR Suppression via VSC-Based Controller. IEEE Access Xiaotian Yuan, Zhengchun Du, Xiaofang Wu, Guihong Wu, Shuai Gao, Feng Zeng, Chongtao Li
2020	J	`jnl`	Simulation of HVDC System Steady and Transient Response by an Analytical Method. IEEE Access Chongtao Li, Yong Zhao, Feng Zeng, Zhengchun Du
2020	J	`jnl`	Subsynchronous Oscillation Analysis of Grid-Connected Converter Based on MIMO Transfer Functions. IEEE Access Xiaofang Wu, Zhengchun Du, Xiaotian Yuan, Guihong Wu, Feng Zeng
2018	J	`jnl`	Online Line Switching Method for Enhancing the Small-Signal Stability Margin of Power Systems. IEEE Trans. Smart Grid Chongtao Li, Hsiao-Dong Chiang, Zhengchun Du
2018	J	`jnl`	Shape Descriptor-Based Local Contour Profile Registration and Measurement for Flexible Automotive Sealing Strips. J. Comput. Inf. Sci. Eng. Jianhua Li, Zhengchun Du, Yan Wang
2016	J	`jnl`	Error Ellipsoid Analysis for the Diameter Measurement of Cylindroid Components Using a Laser Radar Measurement System. Sensors Zhengchun Du, Zhaoyong Wu, Jianguo Yang
2011	—	`conf`	Design and Compliance Experiment Study of the Forging Simulator. ICIRA (1) Pu Zhang, Zhenqiang Yao, Zhengchun Du, Hao Wang, Haidong Yu
2010	—	`conf`	Analysis of Forging Compliance Process and Design of the Forging Simulator. ICIRA (2) Pu Zhang, Zhenqiang Yao, Zhengchun Du

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.