Ran Zhang

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Lyapunov functions for some epidemic model with high risk and vaccinated class. Appl. Math. Lett. Ran Zhang, Xue Ren
2024	J	`jnl`	Mathematical analysis for an age-space structured HIV model with latency. Math. Comput. Simul. Lidong Zhang, Jinliang Wang, Ran Zhang
2024	J	`jnl`	Threshold dynamics of a diffusive HIV infection model with infection-age, latency and cell-cell transmission. Commun. Nonlinear Sci. Numer. Simul. Guoyang Lyu, Jinliang Wang, Ran Zhang
2023	J	`jnl`	A note on the global dynamics for a diffusive foot-and-mouth disease model. Appl. Math. Lett. Jinliang Wang, Ran Zhang
2023	J	`jnl`	Age-dependent immunity effect in a cholera model with double transmission modes: Hopf bifurcation analysis. J. Appl. Math. Comput. Xin Jiang, Ran Zhang
2023	J	`jnl`	Dynamical analysis of a reaction-diffusion vector-borne disease model incorporating age-space structure and multiple transmission routes. Commun. Nonlinear Sci. Numer. Simul. Meiyu Cao, Jiantao Zhao, Jinliang Wang, Ran Zhang
2022	J	`jnl`	Dynamics of a Discrete Lotka-Volterra Information Diffusion Model. Int. J. Bifurc. Chaos Mingshan Li, Naiming Xie, Ran Zhang, Xiaojun Huang
2021	J	`jnl`	A reaction-diffusion Susceptible-Vaccinated-Infected-Recovered model in a spatially heterogeneous environment with Dirichlet boundary condition. Math. Comput. Simul. Jinliang Wang, Ran Zhang, Toshikazu Kuniya
2021	J	`jnl`	Existence of traveling wave solutions for a diffusive tuberculosis model with fast and slow progression. Appl. Math. Lett. Ran Zhang, Lili Liu, Xiaomei Feng, Zhen Jin
2021	J	`jnl`	Hopf Bifurcation of an Age-Structured Epidemic Model with Quarantine and Temporary Immunity Effects. Int. J. Bifurc. Chaos Lili Liu, Jian Zhang, Ran Zhang, Hongquan Sun
2021	J	`jnl`	Traveling Wave Solutions for a Class of Discrete Diffusive SIR Epidemic Model. J. Nonlinear Sci. Ran Zhang, Jinliang Wang, Shengqiang Liu

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.