Zhengqiang Pan

17 papers C 1Journal 10Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-type mixed response Gaussian process with parameter estimation embedded in latent variable approximation. Adv. Eng. Informatics Zichen Wang, Zhengqiang Pan, Yanlin Wang, Zhitao Long, Zhijun Cheng, Guang Jin
2024	—	`conf`	A Sequential Experimental Design Method Based on Binary Response Prediction. ISSSR Zichen Wang, Zhengqiang Pan, Taihe Yi, Guang Jin, Yanlin Wang
2023	J	`jnl`	Research on evaluation indices and calculation method of experimental design. Qual. Reliab. Eng. Int. Zichen Wang, Zhengqiang Pan, Zhijun Cheng, Yanlin Wang
2020	J	`jnl`	Improved MDD Algorithm for Mission Reliability Estimation of an Escort Formation. IEEE Access Ruibing Bian, Zhengqiang Pan, Zhijun Cheng, Senyang Bai
2017	—	`conf`	Accelerated-compensated degradation modeling based on synthesized-stress enhancement test data. ICSRS Nina Yang, Jing Feng, Tianyu Liu, Zhengqiang Pan, Jieru Meng
2017	C	`conf`	An online capacity estimation method for lithium ion battery cells using the significant points. IECON Xing Zhou, Zhengqiang Pan
2017	J	`jnl`	Super-resolving blurry multiframe images through multiframe blind deblurring using ADMM. Multim. Tools Appl. Qizi Huangpeng, Xiangrong Zeng, Quan Sun, Jun Fan, Jing Feng, Zhengqiang Pan
2016	J	`jnl`	Irregular Time-Varying Stress Degradation Path Modeling: a Case Study on Lithium-ion Cell Degradation. Qual. Reliab. Eng. Int. Tianyu Liu, Quan Sun, Zhengqiang Pan, Jing Feng, Yanzhen Tang
2016	—	`conf`	Model identification of lithium-ion batteries in the portable power system. ICPHM Xing Zhou, Long Cheng, Yanzhen Tang, Zhengqiang Pan, Quan Sun
2016	J	`jnl`	Optimal Design for Step-Stress Accelerated Test with Random Discrete Stress Elevating Times Based on Gamma Degradation Process. Qual. Reliab. Eng. Int. Morteza Amini, Soudabeh Shemehsavar, Zhengqiang Pan
2015	—	`conf`	A data-driven method for life prediction based on performance degradation data under complicated stress. IEEM Jieru Meng, Jing Feng, Tianyu Liu, Quan Sun, Zhengqiang Pan
2015	—	`conf`	A framework of Bayesian lifetime demonstration based on degradation. IEEM Zhengqiang Pan, Tianyu Liu, Quan Sun, Jing Feng
2014	J	`jnl`	Optimal Design for Step-Stress Accelerated Degradation Test with Multiple Performance Characteristics Based on Gamma Processes. Commun. Stat. Simul. Comput. Zhengqiang Pan, Quan Sun
2011	J	`jnl`	Bivariate Constant-Stress Accelerated Degradation Model and Inference. Commun. Stat. Simul. Comput. Zhengqiang Pan, N. Balakrishnan, Quan Sun
2011	J	`jnl`	Reliability modeling of degradation of products with multiple performance characteristics based on gamma processes. Reliab. Eng. Syst. Saf. Zhengqiang Pan, Narayanaswamy Balakrishnan
2010	J	`jnl`	Multiple-Steps Step-Stress Accelerated Degradation Modeling Based on Wiener and Gamma Processes. Commun. Stat. Simul. Comput. Zhengqiang Pan, N. Balakrishnan
2006	—	`conf`	Design of Dynamic Systems Based on Dynamic Fault Trees and Neural Networks. CASE Zhongbao Zhou, Zhiqiang Yan, Jinglun Zhou, Guang Jin, Doudou Dong, Zhengqiang Pan

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.

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.