Laura-Maria Dogariu

24 papers Misc 1Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Practical Regularized Recursive Least-Squares Algorithm for Robust System Identification. EUSIPCO Radu-Andrei Otopeleanu, Jacob Benesty, Constantin Paleologu, Cristian Lucian Stanciu, Laura-Maria Dogariu, Silviu Ciochina
2025	J	`jnl`	Robust Regularized Recursive Least-Squares Algorithm Based on Third-Order Tensor Decomposition. Algorithms Radu-Andrei Otopeleanu, Constantin Paleologu, Jacob Benesty, Cristian Lucian Stanciu, Laura-Maria Dogariu, Ruxandra-Liana Costea
2024	J	`jnl`	A Fourth-Order Tensorial Wiener Filter Using the Conjugate Gradient Method. Symmetry Laura-Maria Dogariu, Ruxandra-Liana Costea, Constantin Paleologu, Jacob Benesty
2024	J	`jnl`	Decomposition-Based Wiener Filter Using the Kronecker Product and Conjugate Gradient Method. IEEE ACM Trans. Audio Speech Lang. Process. Cristian Lucian Stanciu, Jacob Benesty, Constantin Paleologu, Ruxandra-Liana Costea, Laura-Maria Dogariu, Silviu Ciochina
2023	—	`conf`	A Decomposition-Based Kalman Filter for the Identification of Acoustic Impulse Responses. EUSIPCO Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Cristian Lucian Stanciu, Silviu Ciochina
2023	J	`jnl`	An Iterative Wiener Filter Based on a Fourth-Order Tensor Decomposition. Symmetry Jacob Benesty, Constantin Paleologu, Laura-Maria Dogariu
2022	—	`conf`	A Variable Step-Size Affine Projection Algorithm Based on Data Reuse. TSP Alexandru-George Rusu, Laura-Maria Dogariu, Ruxandra-Liana Costea, Constantin Paleologu, Jacob Benesty, Silviu Ciochina
2022	—	`conf`	An Affine Projection Algorithm for the Identification of Impulse Responses with Symmetric/Antisymmetric Characteristics. TSP Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Silviu Ciochina, Eduardo Vinicius Kuhn, Augusto Cesar Becker, Marcos Vinicius Matsuo
2022	—	`conf`	An Iterative Wiener Filter for Stereophonic Acoustic Echo Cancellation. IEEECONF Jacob Benesty, Laura-Maria Dogariu, Constantin Paleologu, Silviu Ciochina
2022	—	`conf`	Efficient Identification of Acoustic Linear Systems. COMM Jacob Benesty, Laura-Maria Dogariu, Constantin Paleologu, Silviu Ciochina
2022	J	`jnl`	Identification of Room Acoustic Impulse Responses via Kronecker Product Decompositions. IEEE ACM Trans. Audio Speech Lang. Process. Laura-Maria Dogariu, Jacob Benesty, Constantin Paleologu, Silviu Ciochina
2022	—	`conf`	On the Performance of a Data-Reuse Fast RLS Algorithm for Acoustic Echo Cancellation. BlackSeaCom Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Silviu Ciochina
2022	J	`jnl`	Stochastic Model for the LMS Algorithm with Symmetric/Antisymmetric Properties. Symmetry Augusto Cesar Becker, Eduardo Vinicius Kuhn, Marcos Vinicius Matsuo, Jacob Benesty, Constantin Paleologu, Laura-Maria Dogariu, Silviu Ciochina
2021	—	`conf`	A Data-Reuse Approach for an Optimized LMS Algorithm. SpeD Alexandru-George Rusu, Laura-Maria Dogariu, Silviu Ciochina, Constantin Paleologu
2021	J	`jnl`	A Kalman Filter for Multilinear Forms and Its Connection with Tensorial Adaptive Filters. Sensors Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Cristian Lucian Stanciu, Claudia-Cristina Oprea, Silviu Ciochina
2021	—	`conf`	Identification of Multilinear Forms with the Tensorial Kalman Filter. TSP Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Silviu Ciochina
2021	J	`jnl`	Tensor-Based Adaptive Filtering Algorithms. Symmetry Laura-Maria Dogariu, Cristian Lucian Stanciu, Camelia Elisei-Iliescu, Constantin Paleologu, Jacob Benesty, Silviu Ciochina
2020	J	`jnl`	A Recursive Least-Squares Algorithm for the Identification of Trilinear Forms. Algorithms Camelia Elisei-Iliescu, Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Andrei Alexandru Enescu, Silviu Ciochina
2020	—	`conf`	An Iterative Wiener Filter for the Identification of Multilinear Forms. TSP Laura-Maria Dogariu, Silviu Ciochina, Constantin Paleologu, Jacob Benesty, Cristina Oprea
2020	J	`jnl`	An efficient Kalman filter for the identification of low-rank systems. Signal Process. Laura-Maria Dogariu, Constantin Paleologu, Jacob Benesty, Silviu Ciochina
2019	—	`conf`	An Iterative Wiener Filter for the Identification of Trilinear Forms. TSP Laura-Maria Dogariu, Silviu Ciochina, Jacob Benesty, Constantin Paleologu
2019	J	`jnl`	System Identification Based on Tensor Decompositions: A Trilinear Approach. Symmetry Laura-Maria Dogariu, Silviu Ciochina, Jacob Benesty, Constantin Paleologu
2018	J	`jnl`	A Connection Between the Kalman Filter and an Optimized LMS Algorithm for Bilinear Forms. Algorithms Laura-Maria Dogariu, Silviu Ciochina, Constantin Paleologu, Jacob Benesty
2018	Misc	`conf`	Identification of Bilinear Forms with the Kalman Filter. ICASSP Laura-Maria Dogariu, Constantin Paleologu, Silviu Ciochina, Jacob Benesty, Pablo Piantanida

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.