Farshid Mirzaee

35 papers Journal 35

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Approximate solution to solve nonlinear Volterra integral equations with discontinuous kernels using shifted alternative Legendre polynomials. J. Comput. Appl. Math. Fatemeh Mohammadi, Farshid Mirzaee, Erfan Solhi
2026	J	`jnl`	Innovative computational model for variable order fractional Brownian motion and solving stochastic differential equations. Numer. Algorithms Shiva Naserifar, Farshid Mirzaee
2024	J	`jnl`	Enhanced moving least squares method for solving the stochastic fractional Volterra integro-differential equations of Hammerstein type. Numer. Algorithms Erfan Solhi, Farshid Mirzaee, Shiva Naserifar
2023	J	`jnl`	Accurate and stable numerical method based on the Floater-Hormann interpolation for stochastic Itô-Volterra integral equations. Numer. Algorithms Farshid Mirzaee, Shiva Naserifar, Erfan Solhi
2023	J	`jnl`	Approximate solution of two dimensional linear and nonlinear stochastic Itô-Volterra integral equations via meshless scheme. Math. Comput. Simul. Erfan Solhi, Farshid Mirzaee, Shiva Naserifar
2022	J	`jnl`	Application of combination schemes based on radial basis functions and finite difference to solve stochastic coupled nonlinear time fractional sine-Gordon equations. Comput. Appl. Math. Farshid Mirzaee, Shadi Rezaei, Nasrin Samadyar
2021	J	`jnl`	Approximate solution of stochastic Volterra integro-differential equations by using moving least squares scheme and spectral collocation method. Appl. Math. Comput. Farshid Mirzaee, Erfan Solhi, Shiva Naserifar
2021	J	`jnl`	Quintic B-spline collocation method to solve n-dimensional stochastic Itô-Volterra integral equations. J. Comput. Appl. Math. Farshid Mirzaee, Sahar Alipour
2020	J	`jnl`	An iterative algorithm for solving two dimensional nonlinear stochastic integral equations: A combined successive approximations method with bilinear spline interpolation. Appl. Math. Comput. Sahar Alipour, Farshid Mirzaee
2020	J	`jnl`	Combination of finite difference method and meshless method based on radial basis functions to solve fractional stochastic advection-diffusion equations. Eng. Comput. Farshid Mirzaee, Nasrin Samadyar
2020	J	`jnl`	Cubic B-spline approximation for linear stochastic integro-differential equation of fractional order. J. Comput. Appl. Math. Farshid Mirzaee, Sahar Alipour
2020	J	`jnl`	Hybrid Taylor and block-pulse functions operational matrix algorithm and its application to obtain the approximate solution of stochastic evolution equation driven by fractional Brownian motion. Commun. Nonlinear Sci. Numer. Simul. Nasrin Samadyar, Yadollah Ordokhani, Farshid Mirzaee
2020	J	`jnl`	Numerical solution of two-dimensional stochastic Fredholm integral equations on hypercube domains via meshfree approach. J. Comput. Appl. Math. Nasrin Samadyar, Farshid Mirzaee
2019	J	`jnl`	Numerical solution based on hybrid of block-pulse and parabolic functions for solving a system of nonlinear stochastic Itô-Volterra integral equations of fractional order. J. Comput. Appl. Math. Farshid Mirzaee, Sahar Alipour, Nasrin Samadyar
2019	J	`jnl`	Numerical solution based on two-dimensional orthonormal Bernstein polynomials for solving some classes of two-dimensional nonlinear integral equations of fractional order. Appl. Math. Comput. Farshid Mirzaee, Nasrin Samadyar
2018	J	`jnl`	Approximate solution of nonlinear quadratic integral equations of fractional order via piecewise linear functions. J. Comput. Appl. Math. Farshid Mirzaee, Sahar Alipour
2018	J	`jnl`	Euler polynomial solutions of nonlinear stochastic Itô-Volterra integral equations. J. Comput. Appl. Math. Farshid Mirzaee, Nasrin Samadyar, Seyede Fatemeh Hoseini
2017	J	`jnl`	A meshfree method for solving multidimensional linear Fredholm integral equations on the hypercube domains. Appl. Math. Comput. Mohsen Esmaeilbeigi, Farshid Mirzaee, Davoud Moazami
2017	J	`jnl`	A new collocation approach for solving systems of high-order linear Volterra integro-differential equations with variable coefficients. Appl. Math. Comput. Farshid Mirzaee, Seyede Fatemeh Hoseini
2017	J	`jnl`	Application of operational matrices for solving system of linear Stratonovich Volterra integral equation. J. Comput. Appl. Math. Farshid Mirzaee, Nasrin Samadyar
2017	J	`jnl`	Numerical solution of optimal control problem of the non-linear Volterra integral equations via generalized hat functions. IMA J. Math. Control. Inf. Farshid Mirzaee, Elham Hadadiyan
2017	J	`jnl`	Solving system of linear Stratonovich Volterra integral equations via modification of hat functions. Appl. Math. Comput. Farshid Mirzaee, Elham Hadadiyan
2016	J	`jnl`	A computational method for solving nonlinear stochastic Volterra integral equations. J. Comput. Appl. Math. Farshid Mirzaee, Afsun Hamzeh
2016	J	`jnl`	Application of Fibonacci collocation method for solving Volterra-Fredholm integral equations. Appl. Math. Comput. Farshid Mirzaee, Seyede Fatemeh Hoseini
2016	J	`jnl`	Approximation solution of nonlinear Stratonovich Volterra integral equations by applying modification of hat functions. J. Comput. Appl. Math. Farshid Mirzaee, Elham Hadadiyan
2016	J	`jnl`	Numerical solution of Volterra-Fredholm integral equations via modification of hat functions. Appl. Math. Comput. Farshid Mirzaee, Elham Hadadiyan
2015	J	`jnl`	Applying the modified block-pulse functions to solve the three-dimensional Volterra-Fredholm integral equations. Appl. Math. Comput. Farshid Mirzaee, Elham Hadadiyan
2015	J	`jnl`	Numerical solution of linear Fredholm integral equations via two-dimensional modification of hat functions. Appl. Math. Comput. Farshid Mirzaee, Elham Hadadiyan
2014	J	`jnl`	A collocation technique for solving nonlinear Stochastic Itô-Volterra integral equations. Appl. Math. Comput. Farshid Mirzaee, Elham Hadadiyan
2014	J	`jnl`	Application of hat functions to solve linear Fredholm fuzzy integral equation of the second kind. J. Intell. Fuzzy Syst. Farshid Mirzaee, Mahmoud Paripour, Mohammad Komak Yari
2014	J	`jnl`	Numerical solution for three-dimensional nonlinear mixed Volterra-Fredholm integral equations via three-dimensional block-pulse functions. Appl. Math. Comput. Farshid Mirzaee, Elham Hadadiyan, Saeed Bimesl
2005	J	`jnl`	Numerical solution of stochastic linear heat conduction problem by using new algorithms. Appl. Math. Comput. Khosrow Maleknejad, Farshid Mirzaee
2005	J	`jnl`	Using rationalized Haar wavelet for solving linear integral equations. Appl. Math. Comput. Khosrow Maleknejad, Farshid Mirzaee
2004	J	`jnl`	Solving linear integro-differential equations system by using rationalized Haar functions method. Appl. Math. Comput. Khosrow Maleknejad, Farshid Mirzaee, Saeid Abbasbandy
2003	J	`jnl`	Numerical solution of linear Fredholm integral equations system by rationalized Haar functions method. Int. J. Comput. Math. Khosrow Maleknejad, Farshid Mirzaee

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.