Damiano Badini

26 papers A 1B 4Journal 17Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Digital Network Twin-Enabled Synchronization and Localization. IEEE J. Sel. Areas Commun. Niccolò Paglierani, Francesco Linsalata, Omer Altug Sevimay, Lorenzo Cazzella, Damiano Badini, Maurizio Magarini, Umberto Spagnolini
2026	J	`jnl`	Exploiting age of information in network digital twins for AI-driven real-time link blockage detection. Comput. Networks Michele Zhu, Francesco Linsalata, Silvia Mura, Lorenzo Cazzella, Damiano Badini, Umberto Spagnolini
2026	J	`jnl`	High-fidelity RF mapping: Assessing environmental modeling in 6G network digital twins. Comput. Networks Lorenzo Cazzella, Francesco Linsalata, Damiano Badini, Matteo Matteucci, Maurizio Magarini, Umberto Spagnolini
2025	—	`conf`	AI-empowered Real-Time Line-Of-Sight Identification via Network Digital Twins. INFOCOM WKSHPS Michele Zhu, Silvia Mura, Francesco Linsalata, Lorenzo Cazzella, Damiano Badini, Umberto Spagnolini
2025	J	`jnl`	Bayesian EM Digital Twins Channel Estimation. CoRR Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi, Maurizio Magarini, Damiano Badini, Umberto Spagnolini
2025	J	`jnl`	Bayesian EM Digital Twins Channel Estimation. IEEE Wirel. Commun. Lett. Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi, Maurizio Magarini, Damiano Badini, Umberto Spagnolini
2025	B	`conf`	Channel Estimation via Digital Twins with Limited a Priori Knowledge. PIMRC Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi, Damiano Badini, Umberto Spagnolini, Maurizio Magarini
2025	—	`conf`	Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins. VTC2025-Fall Lorenzo Cazzella, Francesco Linsalata, Mahdi Maleki, Damiano Badini, Matteo Matteucci, Umberto Spagnolini
2025	J	`jnl`	Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins. CoRR Lorenzo Cazzella, Francesco Linsalata, Mahdi Maleki, Damiano Badini, Matteo Matteucci, Umberto Spagnolini
2025	B	`conf`	Enhancing 5G-based Localization in Dynamic Environments through Network Digital Twins. GLOBECOM Zhengchen Xu, Silvia Mura, Francesco Linsalata, Lorenzo Cazzella, Damiano Badini, Umberto Spagnolini
2025	J	`jnl`	High-Fidelity RF Mapping: Assessing Environmental Modeling in 6G Network Digital Twins. CoRR Lorenzo Cazzella, Francesco Linsalata, Damiano Badini, Matteo Matteucci, Maurizio Magarini, Umberto Spagnolini
2024	J	`jnl`	Deep Learning-Based Target-to-User Association in Integrated Sensing and Communication Systems. IEEE J. Sel. Top. Signal Process. Lorenzo Cazzella, Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Matteo Matteucci, Umberto Spagnolini
2024	J	`jnl`	Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems. CoRR Lorenzo Cazzella, Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Matteo Matteucci, Umberto Spagnolini
2024	J	`jnl`	Integrated Sensing and Communication System via Dual-Domain Waveform Superposition. IEEE Trans. Wirel. Commun. Dario Tagliaferri, Marouan Mizmizi, Silvia Mura, Francesco Linsalata, Davide Scazzoli, Damiano Badini, Maurizio Magarini, Umberto Spagnolini
2023	—	`conf`	Experimental Demonstration of ISAC Waveform Design Exploring Out-of-Band Emission. ICC Workshops Davide Scazzoli, Francesco Linsalata, Dario Tagliaferri, Marouan Mizmizi, Damiano Badini, Maurizio Magarini, Umberto Spagnolini
2023	B	`conf`	High Resolution Integrated Sensing and Communication System by Out-Of-Band Emission. PIMRC Dario Tagliaferri, Marouan Mizmizi, Silvia Mura, Francesco Linsalata, Damiano Badini, Maurizio Magarini, Umberto Spagnolini
2023	J	`jnl`	Target-to-User Association in ISAC Systems With Vehicle-Lodged RIS. IEEE Wirel. Commun. Lett. Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Umberto Spagnolini
2022	J	`jnl`	Integrated Sensing and Communication System via Dual-Domain Waveform Superposition. CoRR Dario Tagliaferri, Marouan Mizmizi, Silvia Mura, Francesco Linsalata, Davide Scazzoli, Damiano Badini, Maurizio Magarini, Umberto Spagnolini
2022	J	`jnl`	Model-free machine learning of wireless SISO/MIMO communications. Comput. Commun. Dolores García, Jesus Omar Lacruz, Damiano Badini, Danilo De Donno, Joerg Widmer
2022	B	`conf`	Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning. WCNC Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Matteo Matteucci, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
2021	J	`jnl`	Channel Estimation for 6G V2X Hybrid Systems Using Multi-Vehicular Learning. IEEE Access Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
2021	J	`jnl`	Channel Estimation for 6G V2X HybridSystems using Multi-Vehicular Learning. CoRR Marouan Mizmizi, Dario Tagliaferri, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
2021	J	`jnl`	Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications. CoRR Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Damiano Badini, Christian Mazzucco, Matteo Matteucci, Umberto Spagnolini
2021	—	`conf`	Multi-Vehicular Beam Space Learning for Channel Estimation in 6G V2X Systems. SPAWC Dario Tagliaferri, Marouan Mizmizi, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
2021	J	`jnl`	Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning. CoRR Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi, Matteo Matteucci, Damiano Badini, Christian Mazzucco, Umberto Spagnolini
2021	A	`conf`	Scalable Machine Learning Algorithms to Design Massive MIMO Systems. MSWiM Dolores García Martí, Damiano Badini, Danilo De Donno, Joerg Widmer

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.