Larisa Beilina

25 papers Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Variational optimization approach for reconstruction of dielectric permittivity and conductivity functions using partial boundary measurements. CoRR Eric Lindström, Larisa Beilina
2025	J	`jnl`	A time-adaptive optimization approach for reconstructing immune response in a mathematical model of acute HIV infection using clinical data. CoRR Larisa Beilina, I. Gainova, G. Bocharov
2025	J	`jnl`	Finite element 3D models of melanoma growth and time-dependent backscattered data for dielectric properties of melanoma at 6 GHz. CoRR Eric Lindström, Larisa Beilina
2025	J	`jnl`	Reconstructing the dielectric properties of melanoma in 3D using real-life melanoma model. CoRR Georg Kyhn, Eric Lindström, Larisa Beilina
2024	J	`jnl`	A hybrid finite element/finite difference method for reconstruction of dielectric properties of conductive objects. CoRR Eric Lindström, Larisa Beilina
2023	J	`jnl`	A stabilized P1 domain decomposition finite element method for time harmonic Maxwell's equations. Math. Comput. Simul. Mohammad Asadzadeh, Larisa Beilina
2023	J	`jnl`	Energy norm error estimates and convergence analysis for a stabilized Maxwell's equations in conductive media. CoRR Eric Lindström, Larisa Beilina
2022	J	`jnl`	An adaptive finite element method for solving 3D electromagnetic volume integral equation with applications in microwave thermometry. J. Comput. Phys. Larisa Beilina, Morteza Ghaderi Aram, Evgenii M. Karchevskii
2022	J	`jnl`	An adaptive finite element/finite difference domain decomposition method for applications in microwave imaging. CoRR Larisa Beilina, Eric Lindström
2022	J	`jnl`	Stability and Convergence Analysis of a Domain Decomposition FE/FD Method for Maxwell's Equations in the Time Domain. Algorithms Mohammad Asadzadeh, Larisa Beilina
2021	J	`jnl`	Interactive Change Point Detection using optimisation approach and Bayesian statistics applied to real world applications. CoRR Rebecca Gedda, Larisa Beilina, Ruomu Tan
2021	J	`jnl`	Stability and convergence analysis of a domain decomposition FE/FD method for the Maxwell's equations in time domain. CoRR Mohammad Asadzadeh, Larisa Beilina
2020	J	`jnl`	Numerical analysis of least squares and perceptron learning for classification problems. CoRR Larisa Beilina
2019	J	`jnl`	On stabilized P1 finite element approximation fortime harmonic Maxwell's equations. CoRR Mohammad Asadzadeh, Larisa Beilina
2019	J	`jnl`	Time-adaptive optimization in a parameter identification problem of HIV infection. CoRR Larisa Beilina, I. Gainova
2016	J	`jnl`	Application of the finite element method in a quantitative imaging technique. J. Comput. Methods Sci. Eng. Larisa Beilina
2016	J	`jnl`	Domain decomposition finite element/finite difference method for the conductivity reconstruction in a hyperbolic equation. Commun. Nonlinear Sci. Numer. Simul. Larisa Beilina
2015	J	`jnl`	Globally convergent and adaptive finite element methods in imaging of buried objects from experimental backscattering radar measurements. J. Comput. Appl. Math. Larisa Beilina, Nguyen Trung Thành, Michael V. Klibanov, John Bondestam Malmberg
2015	J	`jnl`	Imaging of Buried Objects from Experimental Backscattering Time-Dependent Measurements Using a Globally Convergent Inverse Algorithm. SIAM J. Imaging Sci. Nguyen Trung Thành, Larisa Beilina, Michael V. Klibanov, Michael A. Fiddy
2014	J	`jnl`	Reconstruction of the Refractive Index from Experimental Backscattering Data Using a Globally Convergent Inverse Method. SIAM J. Sci. Comput. Nguyen Trung Thành, Larisa Beilina, Michael V. Klibanov, Michael A. Fiddy
2013	J	`jnl`	Quantitative Image Recovery From Measured Blind Backscattered Data Using a Globally Convergent Inverse Method. IEEE Trans. Geosci. Remote. Sens. Andrey V. Kuzhuget, Larisa Beilina, Michael V. Klibanov, Anders Sullivan, Lam H. Nguyen, Michael A. Fiddy
2010	J	`jnl`	Globally Convergent Numerical Methods for Some Coefficient Inverse Problems. Comput. Sci. Eng. Jianguo Xin, Larisa Beilina, Michael V. Klibanov
2008	J	`jnl`	A Globally Convergent Numerical Method for a Coefficient Inverse Problem. SIAM J. Sci. Comput. Larisa Beilina, Michael V. Klibanov
2007	—	`conf`	A Posteriori Error Estimation in Biomedical Imaging. ISBI Larisa Beilina
2006	J	`jnl`	An Adaptive Hybrid FEM/FDM Method for an Inverse Scattering Problem in Scanning Acoustic Microscopy. SIAM J. Sci. Comput. Larisa Beilina, Christian Clason

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.