El-Hadi Djermoune

34 papers Misc 4Journal 9Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	A Two-Stage Cascaded Ensemble Based on CRNN and Markov Chain for Sleep Apnea Detection Using ECG. BIOSTEC (1) Faustine Faccin, El-Hadi Djermoune, Pauline Guyot, Laurent Bougrain
2023	—	`conf`	A Background Correction Algorithm for Hyperspectral Images. EUSIPCO Said Sadeg, Jean Cauzid, Cécile Fabre, Yingying Song, David Brie, El-Hadi Djermoune
2021	J	`jnl`	K-step analysis of orthogonal greedy algorithms for non-negative sparse representations. Signal Process. Thanh Thi Nguyen, Charles Soussen, Jérôme Idier, El-Hadi Djermoune
2019	—	`conf`	A Single ECG Lead-Based Oscillation Index for the Quantification of Periodic Breathing in Severe Heart Failure Patients. EUSIPCO Pauline Guyot, El-Hadi Djermoune, Thierry Bastogne, Bruno Chenuel
2019	—	`conf`	Joint unmixing-deconvolution algorithms for hyperspectral images. EUSIPCO Yingying Song, El-Hadi Djermoune, David Brie, Cédric Richard
2019	J	`jnl`	Non-Negative Orthogonal Greedy Algorithms. IEEE Trans. Signal Process. Thanh Thi Nguyen, Jérôme Idier, Charles Soussen, El-Hadi Djermoune
2019	J	`jnl`	Online Deconvolution for Industrial Hyperspectral Imaging Systems. SIAM J. Imaging Sci. Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
2018	—	`conf`	Early Detection of Cheyne-Stokes Breathing via ECG-Derived Respiration in Patients With Severe Heart Failure: a Pilot Study. CinC Pauline Guyot, Bruno Chenuel, El-Hadi Djermoune, Thierry Bastogne
2018	—	`conf`	R-Peak Detection in Holter ECG Signals Using Non-Negative Matrix Factorization. CinC Pauline Guyot, Pascal Voiriot, El-Hadi Djermoune, Stéphane Papelier, Céline Lessard, Mathieu Felices, Thierry Bastogne
2017	J	`jnl`	A simultaneous sparse approximation method for multidimensional harmonic retrieval. Signal Process. Souleymen Sahnoun, El-Hadi Djermoune, David Brie, Pierre Comon
2017	—	`conf`	Comparison of Compression Solutions for Impedance and Field Potential Signals of Cardiomyocytes. CinC Pauline Guyot, Levy Batista, El-Hadi Djermoune, Jean-Marie Moureaux, Leo Doerr, Matthias Beckler, Thierry Bastogne
2017	—	`book`	Contributions à l'estimation fréquentielle multidimensionnelle et à la sélection de variables en spectroscopie. (Contributions to multidimensional harmonic retrieval and variable selection in spectroscopy). El-Hadi Djermoune
2017	—	`conf`	Online deconvolution for pushbroom hyperspectral imaging systems. CAMSAP Yingying Song, El-Hadi Djermoune, Jie Chen, Cédric Richard, David Brie
2016	—	`conf`	A regularized sparse approximation method for hyperspectral image classification. SSP Leila Belmerhnia, El-Hadi Djermoune, David Brie, Cédric Carteret
2016	Misc	`conf`	Identification of dynamical biological systems based on mixed-effect models. SAC Levy Batista, Thierry Bastogne, El-Hadi Djermoune
2016	Misc	`conf`	Minimum distance criterion for non-negative hyperspectral image deconvolution. ICASSP Yingying Song, David Brie, El-Hadi Djermoune, Simon Henrot
2016	J	`jnl`	Regularization Parameter Estimation for Non-Negative Hyperspectral Image Deconvolution. IEEE Trans. Image Process. Yingying Song, David Brie, El-Hadi Djermoune, Simon Henrot
2015	J	`jnl`	A Simultaneous Sparse Approximation Method for Multidimensional Harmonic Retrieval. CoRR Souleymen Sahnoun, El-Hadi Djermoune, David Brie, Pierre Comon
2015	J	`jnl`	Data-driven modeling and characterization of anti-angiogenic molecule effects on tumoral vascular density. Biomed. Signal Process. Control. Jean-Baptiste Tylcz, K. El Alaoui-Lasmaili, El-Hadi Djermoune, Noémie Thomas, Béatrice Faivre, Thierry Bastogne
2015	—	`conf`	Identification of dynamical biological systems based on random effects models. EMBC Levy Batista, Thierry Bastogne, El-Hadi Djermoune
2015	—	`conf`	Simultaneous regularized sparse approximation for wood wastes NIR spectra features selection. CAMSAP Leila Belmerhnia, El-Hadi Djermoune, Cédric Carteret, David Brie
2014	—	`conf`	Greedy methods for simultaneous sparse approximation. EUSIPCO Leila Belmerhnia, El-Hadi Djermoune, David Brie
2013	Misc	`conf`	Sparse modal estimation of 2-D NMR signals. ICASSP Souleymen Sahnoun, El-Hadi Djermoune, David Brie
2012	J	`jnl`	Sparse multidimensional modal analysis using a multigrid dictionary refinement. EURASIP J. Adv. Signal Process. Souleymen Sahnoun, El-Hadi Djermoune, Charles Soussen, David Brie
2012	—	`conf`	Sparse multigrid modal estimation: Initial grid selection. EUSIPCO Souleymen Sahnoun, El-Hadi Djermoune, David Brie
2009	—	`conf`	A subband algorithm for estimating the parameters of two-dimensional exponential signals. EUSIPCO El-Hadi Djermoune, David Brie, Marc Tomczak
2009	—	`conf`	First-order analysis of the mode and amplitude estimates of a damped sinusoid using Matrix Pencil. EUSIPCO El-Hadi Djermoune, Magalie Thomassin, Marc Tomczak
2009	J	`jnl`	Perturbation analysis of subspace-based methods in estimating a damped complex exponential. IEEE Trans. Signal Process. El-Hadi Djermoune, Marc Tomczak
2008	Misc	`conf`	Estimation of the parameters of two-dimensional NMR spectroscopy signals using an adapted subband decomposition. ICASSP El-Hadi Djermoune, Gordana Kasalica, David Brie
2007	—	`conf`	Metal transfer characterization with an active contour algorithm in MIG/MAG welding movies. CASE Jean-Pierre Planckaert, El-Hadi Djermoune, David Brie, Francis Briand, Frédéric Richard
2004	—	`conf`	An adapted filter bank for frequency estimation. EUSIPCO El-Hadi Djermoune, Marc Tomczak
2004	—	`conf`	Statistical analysis of the Kumaresan-Tufts and Matrix Pencil methods in estimating a damped sinusoid. EUSIPCO El-Hadi Djermoune, Marc Tomczak
2003	—	`—`	Estimation des paramètres de sinusoïdes amorties par décomposition en sous-bandes adaptative : application à la spectroscopie RMN. El-Hadi Djermoune
2002	—	`conf`	SNR enhancement of damped exponential signals in noise. EUSIPCO El-Hadi Djermoune, Marc Tomczak

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.