Saeed Ketabchi

23 papers A 1Journal 21Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An overview of absolute value equations: from theory to solution methods and challenges. Comput. Optim. Appl. Milan Hladík, Hossein Moosaei, Fakhrodin Hashemi, Saeed Ketabchi, Panos M. Pardalos
2025	J	`jnl`	Generalized subsampled Newton methods for optimization and its application. Int. J. Data Sci. Anal. Ali Shahmoradi Moghaddam, Saeed Ketabchi
2023	A	`conf`	Augmented Lagrangian Method for Linear Programming Using Smooth Approximation. DIS Hossein Moosaei, Saeed Ketabchi, Mujahid N. Syed, Fatemeh Bazikar
2023	J	`jnl`	Newton-based approach to solving K-SVCR and Twin-KSVC multi-class classification in the primal space. Comput. Oper. Res. Hossein Moosaei, Milan Hladík, Mohamad Razzaghi, Saeed Ketabchi
2022	—	`conf`	Separating Two Polyhedra Utilizing Alternative Theorems and Penalty Function. LION Saeed Ketabchi, Hossein Moosaei, Mario R. Guarracino, Milan Hladík
2022	J	`jnl`	Universum parametric-margin ν-support vector machine for classification using the difference of convex functions algorithm. Appl. Intell. Hossein Moosaei, Fatemeh Bazikar, Saeed Ketabchi, Milan Hladík
2021	J	`jnl`	Generalized Twin Support Vector Machines. Neural Process. Lett. Hossein Moosaei, Saeed Ketabchi, Mohamad Razzaghi, Muhammad Tanveer
2021	J	`jnl`	On the minimum-norm solution of convex quadratic programming. RAIRO Oper. Res. Saeed Ketabchi, Hossein Moosaei, Milan Hladík
2021	J	`jnl`	Optimal correction of the absolute value equations. J. Glob. Optim. Hossein Moosaei, Saeed Ketabchi, Milan Hladík
2020	J	`jnl`	DC programming and DCA for parametric-margin ν-support vector machine. Appl. Intell. Fatemeh Bazikar, Saeed Ketabchi, Hossein Moosaei
2019	J	`jnl`	An improvement on parametric $$\nu $$ ν -support vector algorithm for classification. Ann. Oper. Res. Saeed Ketabchi, Hossein Moosaei, Mohamad Razzaghi, Panos M. Pardalos
2015	J	`jnl`	Augmented Lagrangian method within L-shaped method for stochastic linear programs. Appl. Math. Comput. Saeed Ketabchi, Malihe Behboodi-Kahoo
2015	J	`jnl`	Some techniques for solving absolute value equations. Appl. Math. Comput. Hossein Moosaei, Saeed Ketabchi, Muhammad Aslam Noor, Javed Iqbal, Vahideh Hooshyarbakhsh
2014	J	`jnl`	Parametric approach for correcting inconsistent linear equality system. Optim. Methods Softw. Malihe Behboodi-Kahoo, Saeed Ketabchi
2013	J	`jnl`	Augmented Lagrangian method for recourse problem of two-stage stochastic linear programming. Kybernetika Saeed Ketabchi, Malihe Behboodi-Kahoo
2013	J	`jnl`	Optimal error correction of the absolute value equation using a genetic algorithm. Math. Comput. Model. Saeed Ketabchi, Hossein Moosaei, Saeed Fallahi
2013	J	`jnl`	Smoothing Techniques and Augmented Lagrangian Method for Recourse Problem of Two-Stage Stochastic Linear Programming. J. Appl. Math. Saeed Ketabchi, Malihe Behboodi-Kahoo
2012	J	`jnl`	An efficient method for optimal correcting of absolute value equations by minimal changes in the right hand side. Comput. Math. Appl. Saeed Ketabchi, Hossein Moosaei
2012	J	`jnl`	Computing minimum norm solution of a specific constrained convex nonlinear problem. Kybernetika Saeed Ketabchi, Hossein Moosaei
2012	J	`jnl`	Minimum Norm Solution to the Absolute Value Equation in the Convex Case. J. Optim. Theory Appl. Saeed Ketabchi, Hossein Moosaei
2012	J	`jnl`	Optimal Error Correction and Methods of Feasible Directions. J. Optim. Theory Appl. Saeed Ketabchi, Hossein Moosaei
2010	J	`jnl`	Correcting an inconsistent set of linear inequalities by the generalized Newton method. Optim. Methods Softw. Maziar Salahi, Saeed Ketabchi
2009	J	`jnl`	Correcting Inconsistency in Linear Inequalities by Minimal Change in the Right Hand Side Vector. Comput. Sci. J. Moldova Saeed Ketabchi, Maziar Salahi

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.