Behzad Djafari Rouhani

11 papers Journal 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Genotype-Structured PDE Model of Vaccine-Induced Control of Variant Emergence. Axioms Anass Bouchnita, Behzad Djafari Rouhani
2025	J	`jnl`	Proximal Point Methods for Solving Equilibrium Problems in Hadamard Spaces. Axioms Behzad Djafari Rouhani, Vahid Mohebbi
2024	J	`jnl`	Integrating Genomic, Climatic, and Immunological Factors to Analyze Seasonal Patterns of Influenza Variants. Symmetry Anass Bouchnita, Behzad Djafari Rouhani
2024	J	`jnl`	The AA-Viscosity Algorithm for Fixed-Point, Generalized Equilibrium and Variational Inclusion Problems. Axioms Muhammad Waseem Asghar, Mujahid Abbas, Behzad Djafari Rouhani
2023	J	`jnl`	Maximizing Metapopulation Growth Rate and Biomass in Stream Networks. SIAM J. Appl. Math. Tung D. Nguyen, Yixiang Wu, Amy Veprauskas, Tingting Tang, Ying Zhou, Charlotte Beckford, Brian Chau, Xiaoyun Chen, Behzad Djafari Rouhani, Yuerong Wu, Yang Yang, Zhisheng Shuai
2023	J	`jnl`	Recent Results on Expansive-Type Evolution and Difference Equations: A Survey. Axioms Behzad Djafari Rouhani, Mohsen Rahimi Piranfar
2020	J	`jnl`	Strong Convergence of an Inexact Proximal Point Algorithm in a Banach Space. J. Optim. Theory Appl. Behzad Djafari Rouhani, Vahid Mohebbi
2019	J	`jnl`	Strong Convergence of Regularized New Proximal Point Algorithms. J. Optim. Theory Appl. Behzad Djafari Rouhani, Sirous Moradi
2017	J	`jnl`	Strong Convergence of Two Proximal Point Algorithms with Possible Unbounded Error Sequences. J. Optim. Theory Appl. Behzad Djafari Rouhani, Sirous Moradi
2008	J	`jnl`	Penalization and regularization for multivalued pseudo-monotone variational inequalities with Mosco approximation on constraint sets. J. Glob. Optim. Behzad Djafari Rouhani, Akhtar A. Khan, Fabio Raciti
2007	J	`jnl`	Iterative regularization for elliptic inverse problems. Comput. Math. Appl. Akhtar A. Khan, Behzad Djafari Rouhani

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.