Fatemeh Panjeh Ali Beik

25 papers Journal 25

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Accelerating iterative solvers via a two-dimensional minimum residual technique. Comput. Math. Appl. Fatemeh Panjeh Ali Beik, Michele Benzi, Mehdi Najafi-Kalyani
2024	J	`jnl`	An augmented Lagrangian-based preconditioning technique for a class of block three-by-three linear systems. Appl. Math. Lett. Fatemeh Panjeh Ali Beik, Michele Benzi
2024	J	`jnl`	On the invertibility of matrices with a double saddle-point structure. CoRR Fatemeh Panjeh Ali Beik, Chen Greif, Manfred R. Trummer
2023	J	`jnl`	A two-dimensional minimum residual technique for accelerating two-step iterative solvers with applications to discrete ill-posed problems. CoRR Fatemeh Panjeh Ali Beik, Michele Benzi, Mehdi Najafi-Kalyani
2023	J	`jnl`	An augmented Lagrangian-based preconditioning technique for a class of block three-by-three linear systems. CoRR Fatemeh Panjeh Ali Beik, Michele Benzi
2023	J	`jnl`	On the tubular eigenvalues of third-order tensors. CoRR Fatemeh Panjeh Ali Beik, Yousef Saad
2022	J	`jnl`	An Improvement on a Class of Fixed Point Iterative Methods for Solving Absolute Value Equations. Comput. Methods Appl. Math. Nafiseh Nasseri Shams, Fatemeh Panjeh Ali Beik
2022	J	`jnl`	Preconditioning techniques for the coupled Stokes-Darcy problem: spectral and field-of-values analysis. Numerische Mathematik Fatemeh Panjeh Ali Beik, Michele Benzi
2021	J	`jnl`	A preconditioning technique in conjunction with Krylov subspace methods for solving multilinear systems. Appl. Math. Lett. Fatemeh Panjeh Ali Beik, Mehdi Najafi-Kalyani
2021	J	`jnl`	Tensor extrapolation methods with applications. Numer. Algorithms Fatemeh Panjeh Ali Beik, Alaa El Ichi, Khalide Jbilou, Rachid Sadaka
2020	J	`jnl`	Correction to: On the preconditioned AOR iterative method for Z-matrices. Comput. Appl. Math. Davod Khojasteh Salkuyeh, Mohsen Hasani, Fatemeh Panjeh Ali Beik, Juan Song, Yongzhong Song
2020	J	`jnl`	Golub-Kahan bidiagonalization for ill-conditioned tensor equations with applications. Numer. Algorithms Fatemeh Panjeh Ali Beik, Khalide Jbilou, Mehdi Najafi-Kalyani, Lothar Reichel
2020	J	`jnl`	On global iterative schemes based on Hessenberg process for (ill-posed) Sylvester tensor equations. J. Comput. Appl. Math. Mehdi Najafi-Kalyani, Fatemeh Panjeh Ali Beik, Khalide Jbilou
2020	J	`jnl`	On the preconditioning of three-by-three block saddle point problems. CoRR Hamed Aslani, Davod Khojasteh Salkuyeh, Fatemeh Panjeh Ali Beik
2020	J	`jnl`	Tensor GMRES and Golub-Kahan Bidiagonalization methods via the Einstein product with applications to image and video processing. CoRR Mohamed El Guide, Alaa El Ichi, Fatemeh Panjeh Ali Beik, Khalide Jbilou
2020	J	`jnl`	Tensor extrapolation methods with applications. CoRR Fatemeh Panjeh Ali Beik, Alaa El Ichi, Khalide Jbilou, Rachid Sadaka
2019	J	`jnl`	On the Golub-Kahan bidiagonalization for ill-posed tensor equations with applications to color image restoration. CoRR Fatemeh Panjeh Ali Beik, Khalide Jbilou, Mehdi Najafi-Kalyani, Lothar Reichel
2018	J	`jnl`	Block triangular preconditioners for stabilized saddle point problems with nonsymmetric (1, 1)-block. Comput. Math. Appl. Sayyed-Hasan Azizi Chaparpordi, Fatemeh Panjeh Ali Beik, Davod Khojasteh Salkuyeh
2018	J	`jnl`	Iterative Methods for Double Saddle Point Systems. SIAM J. Matrix Anal. Appl. Fatemeh Panjeh Ali Beik, Michele Benzi
2018	J	`jnl`	On the iterative refinement of the solution of ill-conditioned linear system of equations. Int. J. Comput. Math. Fatemeh Panjeh Ali Beik, Salman Ahmadi-Asl, Arezo Ameri
2017	J	`jnl`	On block diagonal and block triangular iterative schemes and preconditioners for stabilized saddle point problems. J. Comput. Appl. Math. Fatemeh Panjeh Ali Beik, Michele Benzi, Sayyed-Hasan Azizi Chaparpordi
2016	J	`jnl`	On the Krylov subspace methods based on tensor format for positive definite Sylvester tensor equations. Numer. Linear Algebra Appl. Fatemeh Panjeh Ali Beik, Farid Saberi Movahed, Salman Ahmadi-Asl
2014	J	`jnl`	Preconditioned generalized mixed-type splitting iterative method for solving weighted least-squares problems. Int. J. Comput. Math. Fatemeh Panjeh Ali Beik, Nafiseh Nasseri Shams
2013	J	`jnl`	The coupled Sylvester-transpose matrix equations over generalized centro-symmetric matrices. Int. J. Comput. Math. Fatemeh Panjeh Ali Beik, Davod Khojasteh Salkuyeh
2011	J	`jnl`	On the global Krylov subspace methods for solving general coupled matrix equations. Comput. Math. Appl. Fatemeh Panjeh Ali Beik, Davod Khojasteh Salkuyeh

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.