Gabriela Werner Gabriel

18 papers Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A New Convex Approach for Grid-Supporting Inverter Control Based on DLMIs. IEEE Trans. Ind. Informatics Roberto M. Fuentes, Esteban I. Marciel, Carlos R. Baier, Gabriela Werner Gabriel, Cecília F. Morais, Márcio J. Lacerda, Jonathan M. Palma
2025	J	`jnl`	Reduced-order H∞ filtering of phase-type semi-Markov jump linear systems. J. Frankl. Inst. Gabriela Werner Gabriel, André Marcorin de Oliveira, Oswaldo L. V. Costa, Sergio Ronaldo Barros dos Santos
2024	J	`jnl`	Robust Sampled-Data State-Derivative Feedback Control Design for LTI Systems With Polytopic Uncertainty. IEEE Control. Syst. Lett. Luan Mateus Bocalan Vogás, Gabriela Werner Gabriel, Roberto Kawakami Harrop Galvão
2023	J	`jnl`	A polynomial eigenvalue test for checking DLMI constraints. Autom. João Victor Omar Baldissera, Roberto Kawakami Harrop Galvão, Gabriela Werner Gabriel
2023	J	`jnl`	Reduced-order energy-to-peak filtering for hidden Markov jump linear systems. J. Frankl. Inst. André Marcorin de Oliveira, Oswaldo L. V. Costa, Sergio R. Barros dos Santos, Gabriela Werner Gabriel
2023	J	`jnl`	Robust Sampled-Data Fault Detection Filtering Through Differential Linear Matrix Inequalities. IEEE Control. Syst. Lett. Henrique W. R. Pereira, André Marcorin de Oliveira, Gabriela Werner Gabriel, José Claudio Geromel
2022	—	`conf`	Energy-to-Peak Filtering for Continuous-Time Markov Jump Linear Systems with Partial Information on the Jump Parameter. CDC André Marcorin de Oliveira, Oswaldo L. V. Costa, Gabriela Werner Gabriel, Sergio R. Barros dos Santos
2022	J	`jnl`	Energy-to-Peak Reduced Order Filtering for Continuous-Time Markov Jump Linear Systems With Partial Information on the Jump Parameter. IEEE Access André Marcorin de Oliveira, Oswaldo L. V. Costa, Gabriela Werner Gabriel, Sergio Ronaldo Barros dos Santos
2022	J	`jnl`	Robust static output feedback control for hidden Markov jump linear systems. Int. J. Syst. Sci. André Marcorin de Oliveira, Oswaldo L. V. Costa, Gabriela Werner Gabriel
2019	J	`jnl`	Differential Linear Matrix Inequalities Optimization. IEEE Control. Syst. Lett. Tiago R. Goncalves, Gabriela Werner Gabriel, José Claudio Geromel
2019	J	`jnl`	Robust partial sampled-data state feedback control of Markov jump linear systems. Int. J. Syst. Sci. Rafael F. Cunha, Gabriela Werner Gabriel, José Claudio Geromel
2018	J	`jnl`	Optimal H∞ state feedback sampled-data control design for Markov jump linear systems. Int. J. Control Gabriela Werner Gabriel, José Claudio Geromel, Karolos M. Grigoriadis
2018	J	`jnl`	Optimal and Robust Sampled-Data Control of Markov Jump Linear Systems: A Differential LMI Approach. IEEE Trans. Autom. Control. Gabriela Werner Gabriel, Tiago R. Goncalves, José Claudio Geromel
2017	—	`conf`	Optimal sampled-data control of Markov jump linear systems through differential LMIs. CDC Gabriela Werner Gabriel, José Claudio Geromel, Tiago R. Goncalves
2017	J	`jnl`	Performance evaluation of sampled-data control of Markov jump linear systems. Autom. Gabriela Werner Gabriel, José Claudio Geromel
2016	—	`conf`	Optimal H∞ state feedback sampled-data control applied to Markov jump linear systems. ECC Gabriela Werner Gabriel, José Claudio Geromel, Karolos M. Grigoriadis
2015	J	`jnl`	Optimal H Autom. José Claudio Geromel, Gabriela Werner Gabriel
2014	—	`conf`	ℋ2 state feedback sampled-data control for Markov Jump Linear Systems. CDC Gabriela Werner Gabriel, Matheus Souza, José Claudio Geromel

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.