Belarmino Pulido

20 papers C 4Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Deep-Learning Clustering to Assess the Health State in a Die-Casting Process in the Automotive Industry. SysTol Miguel Cubero, Diego García-Álvarez, Luis-Ignacio Jimenez, Daniel López, Belarmino Pulido, Carlos J. Alonso-González
2025	C	`conf`	Towards Predictive Maintenance in an Aluminum Die-Casting Process Using Deep Learning Clustering and Dimensionality Reduction. DX Miguel Cubero, Luis-Ignacio Jimenez, Daniel López, Belarmino Pulido, Carlos J. Alonso-González
2023	J	`jnl`	Clustering and Deep-Learning for Energy Consumption Forecast in Smart Buildings. IEEE Access Desirée Arias-Requejo, Belarmino Pulido, Marcus M. Keane, Carlos J. Alonso-González
2023	J	`jnl`	Integrating PCA and structural model decomposition to improve fault monitoring and diagnosis with varying operation points. Eng. Appl. Artif. Intell. Diego García-Álvarez, Aníbal Bregón, Belarmino Pulido, Carlos J. Alonso-González
2019	J	`jnl`	A Big Data Architecture for Fault Prognostics of Electronic Devices: Application to Power MOSFETs. IEEE Access Carlos J. Alonso-González, Belarmino Pulido, Mario Cartón, Aníbal Bregón
2019	J	`jnl`	State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems. Eng. Appl. Artif. Intell. Belarmino Pulido, Jesús M. Zamarreño, Alejandro Merino Gómez, Aníbal Bregón
2017	C	`conf`	Autonomous vehicle traction subsystem modeling and diagnosis using BG-PCs. DX Carlos J. Alonso-González, Aníbal Bregón, Belarmino Pulido, Matías A. Nacusse, Sergio J. Junco
2016	J	`jnl`	A qualitative event-based approach to multiple fault diagnosis in continuous systems using structural model decomposition. Eng. Appl. Artif. Intell. Matthew J. Daigle, Aníbal Bregón, Xenofon D. Koutsoukos, Gautam Biswas, Belarmino Pulido
2016	J	`jnl`	DxPCs: a toolbox for model-based diagnosis of dynamic systems using possible conflicts. Prog. Artif. Intell. Belarmino Pulido, Aníbal Bregón, Carlos J. Alonso-González, Alberto Hernández, David Rubio, Luis Miguel Villarroel
2015	—	`conf`	Characterizing and Computing HBG-PCs for Hybrid Systems Fault Diagnosis. CAEPIA Belarmino Pulido, Carlos Alonso González, Aníbal Bregón, Alberto Hernández
2015	C	`conf`	Improving Fault Isolation and Identification for Hybrid Systems with Hybrid Possible Conflicts. DX Aníbal Bregón, Carlos Alonso González, Belarmino Pulido
2014	J	`jnl`	A Common Framework for Compilation Techniques Applied to Diagnosis of Linear Dynamic Systems. IEEE Trans. Syst. Man Cybern. Syst. Aníbal Bregón, Gautam Biswas, Belarmino Pulido, Carlos Alonso González, Hamed Khorasgani
2014	J	`jnl`	An event-based distributed diagnosis framework using structural model decomposition. Artif. Intell. Aníbal Bregón, Matthew J. Daigle, Indranil Roychoudhury, Gautam Biswas, Xenofon D. Koutsoukos, Belarmino Pulido
2014	J	`jnl`	Integration of Simulation and State Observers for Online Fault Detection of Nonlinear Continuous Systems. IEEE Trans. Syst. Man Cybern. Syst. Aníbal Bregón, Carlos J. Alonso-González, Belarmino Pulido
2013	—	`conf`	A Common Framework for Fault Diagnosis of Parametric and Discrete Faults Using Possible Conflicts. CAEPIA Noemi Moya Alonso, Aníbal Bregón, Carlos J. Alonso-González, Belarmino Pulido
2012	J	`jnl`	A Decomposition Method for Nonlinear Parameter Estimation in TRANSCEND. IEEE Trans. Syst. Man Cybern. Part A Aníbal Bregón, Gautam Biswas, Belarmino Pulido
2012	J	`jnl`	Diagnosability Analysis Considering Causal Interpretations for Differential Constraints. IEEE Trans. Syst. Man Cybern. Part A Erik Frisk, Aníbal Bregón, Jan Åslund, Mattias Krysander, Belarmino Pulido, Gautam Biswas
2009	C	`conf`	Generating Possible Conflicts From Bond Graphs Using Temporal Causal Graphs. ECMS Aníbal Bregón, Belarmino Pulido, Gautam Biswas, Xenofon D. Koutsoukos
2005	—	`conf`	A New Fault Diagnosis Algorithm that Improves the Integration of Fault Detection and Isolation. CDC/ECC Vicenç Puig, Frank Schmid, Joseba Quevedo, Belarmino Pulido
2002	J	`jnl`	Diagnosis de Sistemas Dinámicos: Un Modelo de Conocimiento que Permite Integrar la Evolución del Sistema en el Proceso de Diagnosis. Computación y Sistemas Carlos J. Alonso-González, César Llamas, José A. Maestro, Belarmino Pulido

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.