Raissa Schiavoni

15 papers Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Novel Entropy Metric for Unified Analysis of Temporal, Spatial, and Spectral EEG Properties. IEEE Trans. Biomed. Eng. Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni, Annarita Tedesco
2025	—	`conf`	A Preliminary Study on Band-Specific Multivariate Multiscale Fuzzy Entropy of EEG in Mild Cognitive Impairment. MetroXRAINE Pasquale Arpaia, Maria Cacciapuoti, Olimpia Criscuolo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni, Annarita Tedesco
2025	—	`conf`	EEG Complexity Measures and Their Applications in Alzheimer's Disease Detection. MetroXRAINE Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Olimpia Criscuolo, Sabatina Criscuolo, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni, Annarita Tedesco
2024	J	`jnl`	A Method for Sensing Dielectric Properties of Thin and Flexible Conductive Biocomposites. Sensors Andrea Cataldo, Christian Demitri, Leonardo Lamanna, Antonio Masciullo, Raissa Schiavoni
2024	—	`conf`	Comparison of EEG Preprocessing Techniques for Complexity Measures in Alzheimer's Disease Detection. MetroXRAINE Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni
2024	—	`conf`	Entropy and Coherence Features in EEG-Based Classification for Alzheimer's Disease Detection. I2MTC Sabatina Criscuolo, Andrea Cataldo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni
2023	—	`conf`	Entropy-Based EEG Measures for Revealing Altered Neural Dynamics in Alzheimer's Disease: A Preliminary Study. MetroXRAINE Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni
2023	J	`jnl`	Microwave Reflectometry Sensing System for Low-Cost in-vivo Skin Cancer Diagnostics. IEEE Access Raissa Schiavoni, Gennaro Maietta, Elisabetta Filieri, Antonio Masciullo, Andrea Cataldo
2022	J	`jnl`	A Method for Extracting Debye Parameters as a Tool for Monitoring Watered and Contaminated Soils. Sensors Andrea Cataldo, Iman Farhat, Lourdes Farrugia, Raffaele Persico, Raissa Schiavoni
2022	J	`jnl`	Portable Microwave Reflectometry System for Skin Sensing. IEEE Trans. Instrum. Meas. Andrea Cataldo, Egidio De Benedetto, Raissa Schiavoni, Giuseppina Monti, Annarita Tedesco, Antonio Masciullo, Emanuele Piuzzi, Luciano Tarricone
2022	J	`jnl`	Split Ring Resonator Network and Diffused Sensing Element Embedded in a Concrete Beam for Structural Health Monitoring. Sensors Erika Pittella, Raissa Schiavoni, Giuseppina Monti, Antonio Masciullo, Marco Scarpetta, Andrea Cataldo, Emanuele Piuzzi
2021	J	`jnl`	Combined Punctual and Diffused Monitoring of Concrete Structures Based on Dielectric Measurements. Sensors Andrea Cataldo, Raissa Schiavoni, Antonio Masciullo, Giuseppe Cannazza, Francesco Micelli, Egidio De Benedetto
2021	—	`conf`	Microwave Wearable System for Sensing Skin Hydration. I2MTC Raissa Schiavoni, Giuseppina Monti, Annarita Tedesco, Luciano Tarricone, Emanuele Piuzzi, Egidio De Benedetto, Antonio Masciullo, Andrea Cataldo
2021	—	`conf`	Systems and Monitoring Apparata Based on Reflectometric Techniques for Enhanced Revealing. RTSI Andrea Cataldo, Leopoldo Angrisani, Egidio De Benedetto, Antonio Masciullo, Raissa Schiavoni, Giuseppe Cannazza
2020	J	`jnl`	Feasibility of a Wearable Reflectometric System for Sensing Skin Hydration. Sensors Raissa Schiavoni, Giuseppina Monti, Emanuele Piuzzi, Luciano Tarricone, Annarita Tedesco, Egidio De Benedetto, Andrea Cataldo

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.