Adrian Amor-Martin

19 papers Misc 2Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dependability analysis and hardening of vision transformers against soft errors. J. Supercomput. Lester Frias-Dominguez, José M. Badía, German Leon, Adrian Amor-Martin, Jose A. Belloch
2026	J	`jnl`	Real-time object tracking with on-device deep learning for adaptive beamforming in dynamic acoustic environments. J. Supercomput. Jorge Ortigoso-Narro, Jose A. Belloch, Adrian Amor-Martin, Sandra Roger, Maximo Cobos
2026	J	`jnl`	Stability Considerations for the Design of Amplifier-Based Active Sensors. IEEE Access Sandra Santiago-Mesas, Adrian Amor-Martin, Vicente González Posadas, Daniel Segovia-Vargas
2025	J	`jnl`	Enhanced U-Net architectures for accurate room impulse response generation via differential-phase learning. EURASIP J. Audio Speech Music. Process. Ignacio Martin-Salinas, Gema Piñero, Jose A. Belloch, Adrian Amor-Martin
2025	J	`jnl`	Evaluating and accelerating vision transformers on GPU-based embedded edge AI systems. J. Supercomput. Ignacio Martin-Salinas, José M. Badía, Óscar Valls, German Leon, Rocío del Amor, Jose A. Belloch, Adrian Amor-Martin, Valery Naranjo
2025	J	`jnl`	Real-Time Object Tracking with On-Device Deep Learning for Adaptive Beamforming in Dynamic Acoustic Environments. CoRR Jorge Ortigoso-Narro, Jose A. Belloch, Adrian Amor-Martin, Sandra Roger, Maximo Cobos
2024	J	`jnl`	Urban sound classification using neural networks on embedded FPGAs. J. Supercomput. Jose A. Belloch, Raul Coronado, Óscar Valls, Rocío del Amor, German Leon, Valery Naranjo, Manuel F. Dolz, Adrian Amor-Martin, Gema Piñero
2023	J	`jnl`	Strategies to parallelize a finite element mesh truncation technique on multi-core and many-core architectures. J. Supercomput. José M. Badía, Adrian Amor-Martin, Jose A. Belloch, Luis Emilio García-Castillo
2022	J	`jnl`	3D magnetotelluric modeling using high-order tetrahedral Nédélec elements on massively parallel computing platforms. Comput. Geosci. Octavio Castillo Reyes, David Modesto, Pilar Queralt, Alex Marcuello, Juanjo Ledo, Adrian Amor-Martin, Josep de la Puente, Luis E. García-Castillo
2022	J	`jnl`	Tailored meshing for parallel 3D electromagnetic modeling using high-order edge elements. CoRR Octavio Castillo Reyes, Adrian Amor-Martin, Arnaud Botella, Pierre Anquez, Luis Emilio García-Castillo
2022	J	`jnl`	Tailored meshing for parallel 3D electromagnetic modeling using high-order edge elements. J. Comput. Sci. Octavio Castillo Reyes, Adrian Amor-Martin, Arnaud Botella, Pierre Anquez, Luis Emilio García-Castillo
2021	J	`jnl`	Study of accuracy of a non-conformal finite element domain decomposition method. J. Comput. Phys. Adrian Amor-Martin, Luis E. García-Castillo, Jin-Fa Lee
2020	J	`jnl`	GPU Acceleration of a Non-Standard Finite Element Mesh Truncation Technique for Electromagnetics. IEEE Access José M. Badía, Adrian Amor-Martin, Jose A. Belloch, Luis E. García-Castillo
2019	J	`jnl`	On the use of many-core machines for the acceleration of a mesh truncation technique for FEM. J. Supercomput. Jose A. Belloch, Adrian Amor-Martin, Daniel Garcia-Donoro, Francisco-Jose Martínez-Zaldívar, Luis E. García-Castillo
2018	J	`jnl`	Supervised machine learning using encrypted training data. Int. J. Inf. Sec. Francisco Javier González-Serrano, Adrian Amor-Martin, Jorge Casamayon-Anton
2017	Misc	`conf`	Algorithm for simultaneous adaptation and time step iterations for the electromagnetic waves propagation and heating of the human head induced by cell phone. ICCS Luis E. García-Castillo, Ignacio Gómez-Revuelto, Adrian Amor-Martin, Marcin Los, Maciej Paszynski
2017	Misc	`conf`	Higher-Order Finite Element Electromagnetics Code for HPC environments. ICCS Daniel Garcia-Donoro, Adrian Amor-Martin, Luis E. García-Castillo
2017	J	`jnl`	Training Support Vector Machines with privacy-protected data. Pattern Recognit. Francisco Javier González-Serrano, Ángel Navia-Vázquez, Adrian Amor-Martin
2014	—	`conf`	State estimation using an extended Kalman filter with privacy-protected observed inputs. WIFS Francisco Javier González-Serrano, Adrian Amor-Martin, Jorge Casamayon-Anton

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.