Lekbir Afraites

33 papers Journal 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dynamic Handwriting Analysis Using Sequence-Based on BiGRUs for Parkinson's Disease Identification. SN Comput. Sci. Houssam Moustansir, Aissam Hadri, Lekbir Afraites, Soufiane Lyaqini
2026	J	`jnl`	Enhanced Image Super-Resolution via a Coupled Fractional Caputo Derivative and Adaptive p(x)-Laplacian Model. J. Math. Imaging Vis. Ziad Zaabouli, Khalid Jenkal, Lekbir Afraites, Amine Laghrib
2026	J	`jnl`	Enhanced shadow removal using space-variant anisotropic PDEs and tensor-based osmosis models. J. Frankl. Inst. Fakhr-eddine Limami, Aissam Hadri, Amine Laghrib, Lekbir Afraites
2026	J	`jnl`	Identification of Gaussian and poisson noise through non-convex optimization with a non-local PDE constraint of r[u]-laplace type. Numer. Algorithms Ziad Zaabouli, Lekbir Afraites, Amine Laghrib, Aissam Hadri
2026	J	`jnl`	Statistical Topological Gradient and Shape Optimization for Robust Metal-Semiconductor Contact Reconstruction. CoRR Lekbir Afraites, Aissam Hadri, Mourad Hrizi, Julius Fergy Tiongson Rabago
2025	J	`jnl`	A novel time-fractional decomposition model for image denoising integrating Caputo derivative. Math. Comput. Simul. Ziad Zaabouli, Lekbir Afraites, Amine Laghrib
2025	J	`jnl`	Detecting an Immersed Obstacle in Stokes Fluid Flow Using the Coupled Complex Boundary Method. SIAM J. Control. Optim. Julius Fergy T. Rabago, Lekbir Afraites, Hirofumi Notsu
2025	J	`jnl`	Enhanced shape recovery in advection-diffusion problems via a novel ADMM-based CCBM optimization. CoRR El mehdi Cherrat, Lekbir Afraites, Julius Fergy T. Rabago
2025	J	`jnl`	Enhancing image quality through fractional PDEs: A novel approach to image osmosis. Comput. Math. Appl. Fakhr-eddine Limami, Amine Laghrib, Lekbir Afraites, Mourad Nachaoui
2025	J	`jnl`	Existence of solution for a coupled diffusion PDE system for various noise reduction. J. Comput. Appl. Math. A. Mohssine, Lekbir Afraites, Aissam Hadri, Amine Laghrib
2025	J	`jnl`	Learning primal-dual approach for space-dependent diffusion coefficient identification in fractional diffusion equations. J. Comput. Phys. Mohammed Srati, Abdessamad Oulmelk, Lekbir Afraites, Aissam Hadri, Mahmoud A. Zaky, Ahmed S. Hendy
2025	J	`jnl`	Machine Learning for Optimal Player Substitutions in Soccer. SN Comput. Sci. Marouane Baadi, Zakaria Khoudi, Lekbir Afraites, Soufiane Lyaqini
2025	J	`jnl`	Nonsmooth optimization method for determining nonsmooth potential parameter in nonlinear subdiffusion equation. Commun. Nonlinear Sci. Numer. Simul. Abdessamad Oulmelk, Lekbir Afraites, Aissam Hadri, Mahmoud A. Zaky, Ahmed S. Hendy, Xiangcheng Zheng, Hong Wang
2025	J	`jnl`	Numerical solution by shape optimization method to an inverse shape problem in multi-dimensional advection-diffusion problem with space dependent coefficients. CoRR El mehdi Cherrat, Lekbir Afraites, Julius Fergy T. Rabago
2025	J	`jnl`	On a computational paradigm for a class of fractional order direct and inverse problems in terms of physics-informed neural networks with the attention mechanism. J. Comput. Sci. Mohammed Srati, Abdessamad Oulmelk, Lekbir Afraites, Aissam Hadri, Mahmoud A. Zaky, Ahmed S. Hendy
2025	J	`jnl`	Simultaneous recovery of a corroded boundary and admittance using the Kohn-Vogelius method. CoRR Moustapha Essahraoui, El mehdi Cherrat, Lekbir Afraites, Julius Fergy T. Rabago
2024	J	`jnl`	A novel coupled Int. J. Comput. Math. Ziad Zaabouli, Abdelmajid El Hakoume, Lekbir Afraites, Amine Laghrib
2024	J	`jnl`	A robust alternating direction method of multipliers numerical scheme for solving geometric inverse problems in a shape optimization setting. Comput. Math. Appl. Julius Fergy T. Rabago, Aissam Hadri, Lekbir Afraites, Ahmed S. Hendy, Mahmoud A. Zaky
2024	J	`jnl`	A variational PDNet network using a learning reaction-diffusion equation. Expert Syst. Appl. Abdelmajid El Hakoume, Amine Laghrib, Lekbir Afraites, Aissam Hadri
2024	J	`jnl`	Alternating direction multiplier method to estimate an unknown source term in the time-fractional diffusion equation. Comput. Math. Appl. Abdessamad Oulmelk, Lekbir Afraites, Aissam Hadri, Mahmoud A. Zaky, Ahmed S. Hendy
2024	J	`jnl`	Boundary shape reconstruction with Robin condition: existence result, stability analysis, and inversion via multiple measurements. Comput. Appl. Math. Lekbir Afraites, Julius Fergy T. Rabago
2024	J	`jnl`	Boundary shape reconstruction with Robin condition: existence result, stability analysis, and inversion via multiple measurements. CoRR Lekbir Afraites, Julius Fergy T. Rabago
2024	J	`jnl`	Physics-informed convolution gated recurrent unit network for solving an inverse problem. Neurocomputing Mohammed Srati, Aissam Hadri, Lekbir Afraites
2024	J	`jnl`	Tensor-guided learning for image denoising using anisotropic PDEs. Mach. Vis. Appl. Fakhr-eddine Limami, Aissam Hadri, Lekbir Afraites, Amine Laghrib
2023	J	`jnl`	An Optimal Fluid Optical Flow Registration for Super-resolution with Lamé Parameters Learning. J. Optim. Theory Appl. Abdelmajid El Hakoume, Amine Laghrib, Aissam Hadri, Lekbir Afraites
2023	J	`jnl`	An artificial neural network approach to identify the parameter in a nonlinear subdiffusion model. Commun. Nonlinear Sci. Numer. Simul. Abdessamad Oulmelk, Mohammed Srati, Lekbir Afraites, Aissam Hadri
2023	J	`jnl`	An inverse problem of identifying the coefficient in a nonlinear time-fractional diffusion equation. Comput. Appl. Math. Abdessamad Oulmelk, Lekbir Afraites, Aissam Hadri
2023	J	`jnl`	On a Mathematical Analysis of a Coupled System Adapted to MRI Image Denoising. J. Nonlinear Sci. Abdelmajid El Hakoume, Ziad Zaabouli, Lekbir Afraites, Amine Laghrib
2022	J	`jnl`	A weighted parameter identification PDE-constrained optimization for inverse image denoising problem. Vis. Comput. Lekbir Afraites, Aissam Hadri, Amine Laghrib, Mourad Nachaoui
2022	J	`jnl`	Coupled complex boundary method for a geometric inverse source problem. RAIRO Oper. Res. Lekbir Afraites, Chorouk Masnaoui, Mourad Nachaoui
2021	J	`jnl`	A Regularization by Denoising super-resolution method based on genetic algorithms. Signal Process. Image Commun. Mourad Nachaoui, Lekbir Afraites, Amine Laghrib
2021	J	`jnl`	A novel image denoising approach based on a non-convex constrained PDE: application to ultrasound images. Signal Image Video Process. Aissam Hadri, Lekbir Afraites, Amine Laghrib, Mourad Nachaoui
2008	J	`jnl`	On Second Order Shape Optimization Methods for Electrical Impedance Tomography. SIAM J. Control. Optim. Lekbir Afraites, Michel Dambrine, Djalil Kateb

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.