Yadollah Ordokhani

53 papers Journal 53

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A numerical approach to simulate the delay Kalecki model describing business cycles using MLS-Galerkin method. J. Appl. Math. Comput. Yadollah Ordokhani, Alireza Hosseinian, Pouria Assari
2026	J	`jnl`	Numerical solution of two-dimensional fractional optimal control problems using fractional Vieta-Fibonacci wavelets. Int. J. Syst. Sci. Tahere Hoseini, Yadollah Ordokhani, Parisa Rahimkhani
2026	J	`jnl`	Piecewise numerical approach for solving piecewise fractional optimal control and variational problems. Numer. Algorithms Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2025	J	`jnl`	A hybrid numerical method with high accuracy to solve a time-space diffusion model in terms of the Caputo and Riesz fractional derivatives. J. Supercomput. Mohammad Hossein Derakhshan, Yadollah Ordokhani, Pushpendra Kumar, J. F. Gómez-Aguilar
2025	J	`jnl`	A robust optimisation approach for the 2D-VO fractional optimal control problems. Int. J. Syst. Sci. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2025	J	`jnl`	Numerical and stability analysis of linear B-spline and local radial basis functions for solving two-dimensional distributed-order time-fractional telegraph models. J. Appl. Math. Comput. Mohammad Hossein Derakhshan, Yadollah Ordokhani
2025	J	`jnl`	Numerical simulation of two-dimensional fractional space-time partial differential equation arising from anomalous diffusion with zero magnetic field gradient. J. Supercomput. Hadis Azin, Yadollah Ordokhani, Ali Iloon Kashkooly
2025	J	`jnl`	Pell wavelet-optimization procedure for two classes of fractional partial differential equations with nonlocal boundary conditions. J. Comput. Sci. Sedigheh Sabermahani, Parisa Rahimkhani, Yadollah Ordokhani
2025	J	`jnl`	Ritz-least squares support vector regression technique for the system of fractional Fredholm-Volterra integro-differential equations. J. Appl. Math. Comput. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2024	J	`jnl`	An accurate numerical Scheme for three-dimensional variable-order Time-fractional Partial differential equations in two Types of Space Domains. Math. Model. Anal. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2024	J	`jnl`	An effective computational solver for fractal-fractional 2D integro-differential equations. J. Appl. Math. Comput. Parisa Rahimkhani, Salameh Sedaghat, Yadollah Ordokhani
2023	J	`jnl`	Performance of Genocchi wavelet neural networks and least squares support vector regression for solving different kinds of differential equations. Comput. Appl. Math. Parisa Rahimkhani, Yadollah Ordokhani
2023	J	`jnl`	Ritz-generalized Pell wavelet method: Application for two classes of fractional pantograph problems. Commun. Nonlinear Sci. Numer. Simul. Sedigheh Sabermahani, Yadollah Ordokhani, Mohsen Razzaghi
2022	J	`jnl`	A spectral Approach for Time-fractional diffusion and subdiffusion equations in a Large interval. Math. Model. Anal. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2022	J	`jnl`	An efficient approach based on Legendre-Gauss-Lobatto quadrature and discrete shifted Hahn polynomials for solving Caputo-Fabrizio fractional Volterra partial integro-differential equations. J. Comput. Appl. Math. Haniye Dehestani, Yadollah Ordokhani
2022	J	`jnl`	Fractional-Lucas optimization method for evaluating the approximate solution of the multi-dimensional fractional differential equations. Eng. Comput. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2022	J	`jnl`	Modification of numerical algorithm for space-time fractional partial differential equations including two types of fractional derivatives. Int. J. Comput. Math. Haniye Dehestani, Yadollah Ordokhani
2022	J	`jnl`	Numerical solution for a class of fractional optimal control problems using the fractional-order Bernoulli functions. Trans. Inst. Meas. Control Forugh Valian, Yadollah Ordokhani, Mohammad Ali Vali
2022	J	`jnl`	Numerical solution of variable order fractional differential equations by using shifted Legendre cardinal functions and Ritz method. Eng. Comput. Faezeh Sadat Yousefi, Yadollah Ordokhani, Sohrab Ali Yousefi
2022	J	`jnl`	Touchard wavelet technique for solving time-fractional Black-Scholes model. Comput. Appl. Math. Farshid Nourian, Mehrdad Lakestani, Sedigheh Sabermahani, Yadollah Ordokhani
2021	J	`jnl`	A modified numerical algorithm based on fractional Euler functions for solving time-fractional partial differential equations. Int. J. Comput. Math. Haniye Dehestani, Yadollah Ordokhani
2021	J	`jnl`	A novel direct method based on the Lucas multiwavelet functions for variable-order fractional reaction-diffusion and subdiffusion equations. Numer. Linear Algebra Appl. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2021	J	`jnl`	Combination of Lucas wavelets with Legendre-Gauss quadrature for fractional Fredholm-Volterra integro-differential equations. J. Comput. Appl. Math. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2021	J	`jnl`	General Lagrange scaling functions: application in general model of variable order fractional partial differential equations. Comput. Appl. Math. Sedigheh Sabermahani, Yadollah Ordokhani, Hossein Hassani
2021	J	`jnl`	General Lagrange-hybrid functions and numerical solution of differential equations containing piecewise constant delays with bibliometric analysis. Appl. Math. Comput. Sedigheh Sabermahani, Yadollah Ordokhani
2021	J	`jnl`	Orthonormal Bernoulli wavelets neural network method and its application in astrophysics. Comput. Appl. Math. Parisa Rahimkhani, Yadollah Ordokhani
2021	J	`jnl`	Pseudo-operational matrix method for the solution of variable-order fractional partial integro-differential equations. Eng. Comput. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2020	J	`jnl`	A new operational matrix based on Boubaker wavelet for solving optimal control problems of arbitrary order. Trans. Inst. Meas. Control Kobra Rabiei, Yadollah Ordokhani
2020	J	`jnl`	Approximate solution of nonlinear fractional integro-differential equations using fractional alternative Legendre functions. J. Comput. Appl. Math. Parisa Rahimkhani, Yadollah Ordokhani
2020	J	`jnl`	Fractional-order Bessel wavelet functions for solving variable order fractional optimal control problems with estimation error. Int. J. Syst. Sci. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2020	J	`jnl`	Fractional-order Fibonacci-hybrid functions approach for solving fractional delay differential equations. Eng. Comput. Sedigheh Sabermahani, Yadollah Ordokhani, Sohrab Ali Yousefi
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 variable-order Time fractional Weakly singular Partial integro-differential equations with error estimation. Math. Model. Anal. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2020	J	`jnl`	The bivariate Müntz wavelets composite collocation method for solving space-time-fractional partial differential equations. Comput. Appl. Math. Parisa Rahimkhani, Yadollah Ordokhani
2020	J	`jnl`	The novel operational matrices based on 2D-Genocchi polynomials: solving a general class of variable-order fractional partial integro-differential equations. Comput. Appl. Math. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2020	J	`jnl`	Two-dimensional Müntz-Legendre hybrid functions: theory and applications for solving fractional-order partial differential equations. Comput. Appl. Math. Sedigheh Sabermahani, Yadollah Ordokhani, Sohrab Ali Yousefi
2019	J	`jnl`	Fractional-order Lagrange polynomials: An application for solving delay fractional optimal control problems. Trans. Inst. Meas. Control Sedigheh Sabermahani, Yadollah Ordokhani, Sohrab Ali Yousefi
2019	J	`jnl`	Generalized fractional-order Bernoulli-Legendre functions: an effective tool for solving two-dimensional fractional optimal control problems. IMA J. Math. Control. Inf. Parisa Rahimkhani, Yadollah Ordokhani
2019	J	`jnl`	On the applicability of Genocchi wavelet method for different kinds of fractional-order differential equations with delay. Numer. Linear Algebra Appl. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2019	J	`jnl`	Solving fractional pantograph delay differential equations via fractional-order Boubaker polynomials. Eng. Comput. Kobra Rabiei, Yadollah Ordokhani
2019	J	`jnl`	The Bernoulli wavelets operational matrix of integration and its applications for the solution of linear and nonlinear problems in calculus of variations. Appl. Math. Comput. Elham Keshavarz, Yadollah Ordokhani, Mohsen Razzaghi
2018	J	`jnl`	Fractional-order Legendre-Laguerre functions and their applications in fractional partial differential equations. Appl. Math. Comput. Haniye Dehestani, Yadollah Ordokhani, Mohsen Razzaghi
2018	J	`jnl`	Müntz-Legendre wavelet operational matrix of fractional-order integration and its applications for solving the fractional pantograph differential equations. Numer. Algorithms Parisa Rahimkhani, Yadollah Ordokhani, Esmail Babolian
2017	J	`jnl`	A new operational matrix based on Bernoulli wavelets for solving fractional delay differential equations. Numer. Algorithms Parisa Rahimkhani, Yadollah Ordokhani, Esmail Babolian
2017	J	`jnl`	Application of the hybrid functions to solve neutral delay functional differential equations. Int. J. Comput. Math. Salameh Sedaghat, Somayeh Nemati, Yadollah Ordokhani
2017	J	`jnl`	Numerical solution of fractional pantograph differential equations by using generalized fractional-order Bernoulli wavelet. J. Comput. Appl. Math. Parisa Rahimkhani, Yadollah Ordokhani, Esmail Babolian
2013	J	`jnl`	Numerical solution of a class of two-dimensional nonlinear Volterra integral equations using Legendre polynomials. J. Comput. Appl. Math. Somayeh Nemati, Pedro Miguel Lima, Yadollah Ordokhani
2012	J	`jnl`	Optimal Control of Delay Systems by Using a Hybrid Functions Approximation. J. Optim. Theory Appl. N. Haddadi, Yadollah Ordokhani, Mohsen Razzaghi
2008	J	`jnl`	Solution of nonlinear Volterra-Fredholm-Hammerstein integral equations via a collocation method and rationalized Haar functions. Appl. Math. Lett. Yadollah Ordokhani, Mohsen Razzaghi
2006	J	`jnl`	Solution of nonlinear Volterra-Fredholm-Hammerstein integral equations via rationalized Haar functions. Appl. Math. Comput. Yadollah Ordokhani
2002	J	`jnl`	A Rationalized Haar Functions Method for Nonlinear Fredholm-hammerstein Integral Equations. Int. J. Comput. Math. Mohsen Razzaghi, Yadollah Ordokhani
2001	J	`jnl`	An application of rationalized Haar functions for variational problems. Appl. Math. Comput. Mohsen Razzaghi, Yadollah Ordokhani
2001	J	`jnl`	Solution for a classical problem in the calculus of variations via rationalized Haar functions. Kybernetika Mohsen Razzaghi, Yadollah Ordokhani

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.