Oswaldo Luiz do Valle Costa

21 papers C 1Journal 18Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Reinforcement Learning-Based Market Making as a Stochastic Control on Non-Stationary Limit Order Book Dynamics. CoRR Rafael Zimmer, Oswaldo Luiz do Valle Costa
2021	—	`conf`	Fault Detection Filter for Discrete-Time Markov Jump Lur'e Systems. ECC Leonardo de Paula Carvalho, Bayu Jayawardhana, Oswaldo Luiz do Valle Costa
2021	J	`jnl`	Gain-Scheduled Fault Detection Filter for Discrete-Time LPV Systems. IEEE Access Leonardo de Paula Carvalho, Jonathan M. Palma, Tábitha E. Rosa, Bayu Jayawardhana, Oswaldo Luiz do Valle Costa
2021	J	`jnl`	Model-based fault detection filter for Markovian jump linear systems applied to a control moment gyroscope. Eur. J. Control Leonardo de Paula Carvalho, Fabio Yukio Toriumi, Bruno Augusto Angélico, Oswaldo Luiz do Valle Costa
2021	J	`jnl`	Network-Aware Controller Design With Performance Guarantees for Linear Wireless Systems. IEEE Trans. Autom. Control. André Marcorin de Oliveira, Vineeth Satheeskumar Varma, Romain Postoyan, Irinel-Constantin Morarescu, Jamal Daafouz, Oswaldo Luiz do Valle Costa
2020	J	`jnl`	A Detector-Based Approach for the Constrained Quadratic Control of Discrete-Time Markovian Jump Linear Systems. IEEE Trans. Autom. Control. Yeison Andres Zabala, Oswaldo Luiz do Valle Costa
2020	J	`jnl`	H IEEE Access Leonardo de Paula Carvalho, André Marcorin de Oliveira, Oswaldo Luiz do Valle Costa
2020	J	`jnl`	Suboptimal H2 and H∞ static output feedback control of hidden Markov jump linear systems. Eur. J. Control André Marcorin de Oliveira, Oswaldo Luiz do Valle Costa, Jamal Daafouz
2018	J	`jnl`	Detector-based H∞ results for discrete-time Markov jump linear systems with partial observations. Autom. Marcos G. Todorov, Marcelo D. Fragoso, Oswaldo Luiz do Valle Costa
2018	—	`conf`	Robust Fault Detection H∞ Filter for Markovian Jump Linear Systems. ECC Leonardo de Paula Carvalho, André Marcorin de Oliveira, Oswaldo Luiz do Valle Costa
2017	J	`jnl`	Filtering ℒ-coupled algebraic Riccati equations for discrete-time Markov jump systems. Autom. Oswaldo Luiz do Valle Costa, Danilo Zucolli Figueiredo
2017	J	`jnl`	H2-control and the separation principle for discrete-time jump systems with the Markov chain in a general state space. Int. J. Syst. Sci. Danilo Zucolli Figueiredo, Oswaldo Luiz do Valle Costa
2016	J	`jnl`	Quadratic control with partial information for discrete-time jump systems with the Markov chain in a general Borel space. Autom. Oswaldo Luiz do Valle Costa, Danilo Zucolli Figueiredo
2015	J	`jnl`	A Detector-Based Approach for the H IEEE Trans. Autom. Control. Oswaldo Luiz do Valle Costa, Marcelo D. Fragoso, Marcos Garcia Todorov
2014	J	`jnl`	Stochastic stabilization and induced l Autom. Carlos Alberto Cavichioli Gonzaga, Oswaldo Luiz do Valle Costa
2011	J	`jnl`	On the Filtering Problem for Continuous-Time Markov Jump Linear Systems with no Observation of the Markov Chain. Eur. J. Control Oswaldo Luiz do Valle Costa, Marcelo D. Fragoso, Marcos G. Todorov
2008	J	`jnl`	Generalized Coupled Algebraic Riccati Equations for Discrete-time Markov Jump with Multiplicative Noise Systems. Eur. J. Control Oswaldo Luiz do Valle Costa, Wanderlei Lima de Paulo
2006	C	`conf`	Discrete-time mean-variance portfolio optimization with Markov switching parameters. ACC Michael Viriato Araujo, Oswaldo Luiz do Valle Costa
1996	J	`jnl`	Mean-square stabilizing solutions for discrete-time coupled algebraic Riccati equations. IEEE Trans. Autom. Control. Oswaldo Luiz do Valle Costa
1995	J	`jnl`	Discrete-time LQ-optimal control problems for infinite Markov jump parameter systems. IEEE Trans. Autom. Control. Oswaldo Luiz do Valle Costa, Marcelo D. Fragoso
1994	J	`jnl`	Linear minimum mean square error estimation for discrete-time Markovian jump linear systems. IEEE Trans. Autom. Control. Oswaldo Luiz do Valle Costa

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.