Omid Chatrabgoun

15 papers Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Sparse Gaussian process regression via compactly supported kernels: A trade-off between accuracy and computational efficiency. Inf. Sci. Mohsen Esmaeilbeigi, Omid Chatrabgoun, Roberto Cavoretto, Alessandra De Rossi, Maryam Shafa
2024	J	`jnl`	A novel algorithm for classification using a low rank approximation of kernel-based support vector machines with applications. Commun. Stat. Simul. Comput. Omid Chatrabgoun, Mohsen Esmaeilbeigi, Alireza Daneshkhah, Ahmad Kamandi, N. Salimi
2023	J	`jnl`	On the impact of prior distributions on efficiency of sparse Gaussian process regression. Eng. Comput. Mohsen Esmaeilbeigi, Omid Chatrabgoun, Alireza Daneshkhah, Maryam Shafa
2022	J	`jnl`	Predicting Primary Sequence-Based Protein-Protein Interactions Using a Mercer Series Representation of Nonlinear Support Vector Machine. IEEE Access Omid Chatrabgoun, Alireza Daneshkhah, Mohsen Esmaeilbeigi, Nader Sohrabi Safa, Ali Hamdan Alenezi, Arafatur Rahman
2020	J	`jnl`	Constructing gene regulatory networks from microarray data using non-Gaussian pair-copula Bayesian networks. J. Bioinform. Comput. Biol. Omid Chatrabgoun, Amin Hosseinian Far, Alireza Daneshkhah
2020	J	`jnl`	Uncertainty Quantification of Darcy Flow through Porous Media using Deep Gaussian Process. CoRR Alireza Daneshkhah, Omid Chatrabgoun, Mohsen Esmaeilbeigi, Tabassom Sedighi, S. Abolfathi
2019	J	`jnl`	An efficient method based on RBFs for multilayer data interpolation with application in air pollution data analysis. Comput. Appl. Math. Mohsen Esmaeilbeigi, Omid Chatrabgoun
2019	J	`jnl`	Optimizing minimum information pair-copula using genetic algorithm to select optimal basis functions. Commun. Stat. Simul. Comput. Omid Chatrabgoun, Alireza Daneshkhah, Mohsen Esmaeilbeigi
2019	J	`jnl`	The Role of Hilbert-Schmidt SVD basis in Hermite-Birkhoff interpolation in fractional sense. Comput. Appl. Math. Mohsen Esmaeilbeigi, Omid Chatrabgoun, Meysam Cheraghi
2018	J	`jnl`	Approximating non-Gaussian Bayesian networks using minimum information vine model with applications in financial modelling. J. Comput. Sci. Omid Chatrabgoun, Amin Hosseinian Far, Victor Chang, Nigel G. Stocks, Alireza Daneshkhah
2018	J	`jnl`	Fractional Hermite interpolation using RBFs in high dimensions over irregular domains with application. J. Comput. Phys. Mohsen Esmaeilbeigi, Omid Chatrabgoun, Meysam Cheraghi
2018	J	`jnl`	Probabilistic Modeling of Financial Uncertainties. Int. J. Organ. Collect. Intell. Alireza Daneshkhah, Amin Hosseinian Far, Omid Chatrabgoun, Tabassom Sedighi, Maryam Farsi
2018	J	`jnl`	Scattered data fitting of Hermite type by a weighted meshless method. Adv. Comput. Math. Mohsen Esmaeilbeigi, Omid Chatrabgoun, Maryam Shafa
2016	J	`jnl`	Approximation Multivariate Distribution with Pair Copula Using the Orthonormal Polynomial and Legendre Multiwavelets Basis Functions. Commun. Stat. Simul. Comput. Alireza Daneshkhah, G. Parham, Omid Chatrabgoun, M. Jokar
2016	J	`jnl`	Copula Density Estimation Using Multiwavelets Based on the Multiresolution Analysis. Commun. Stat. Simul. Comput. Omid Chatrabgoun, G. Parham

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.