Edmir Xhoxhi

17 papers C 2Journal 4Unranked 10

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Uncertainty and Prioritization: Empirical Evaluation of a VoI-Based CPM Generation Pipeline Using Real-World Data. VNC Vincent Albert Wolff, Edmir Xhoxhi, Florian Alexander Schiegg, Jan-Elric Neumann
2024	—	`conf`	A Data-Driven Analysis of Vulnerable Road User Safety in Interaction with Connected Automated Vehicles. VNC Edmir Xhoxhi, Vincent Albert Wolff
2024	J	`jnl`	A Data-Driven Analysis of Vulnerable Road User Safety in Interaction with Connected Automated Vehicles. CoRR Edmir Xhoxhi, Vincent Albert Wolff
2024	C	`conf`	An Application Layer Multi-Hop Collective Perception Service for Vehicular Adhoc Networks. IV Vincent Albert Wolff, Edmir Xhoxhi, Felix Tautz
2024	J	`jnl`	An Application Layer Multi-Hop Collective Perception Service for Vehicular Adhoc Networks. CoRR Vincent Albert Wolff, Edmir Xhoxhi, Felix Tautz
2024	C	`conf`	Mitigating Vulnerable Road Users Occlusion Risk Via Collective Perception: An Empirical Analysis. IV Vincent Albert Wolff, Edmir Xhoxhi
2024	J	`jnl`	Mitigating Vulnerable Road Users Occlusion Risk Via Collective Perception: An Empirical Analysis. CoRR Vincent Albert Wolff, Edmir Xhoxhi
2024	—	`—`	Resource orchestration for vehicular ad hoc networks in a multi-service environment. Edmir Xhoxhi
2024	—	`conf`	Vulnerable Road User Clustering for Collective Perception Messages: Efficient Representation Through Geometric Shapes. VNC Edmir Xhoxhi, Vincent Albert Wolff, Yao Li, Florian Alexander Schiegg
2024	J	`jnl`	Vulnerable Road User Clustering for Collective Perception Messages: Efficient Representation Through Geometric Shapes. CoRR Edmir Xhoxhi, Vincent Albert Wolff, Yao Li, Florian Alexander Schiegg
2023	—	`conf`	A First Study on the Spectrum Needs for Release 2 V2X Services. VTC Fall Edmir Xhoxhi, Florian Alexander Schiegg
2023	—	`conf`	Accounting for the Special Role of Infrastructure-assisted Collective Perception. ITSC Florian Alexander Schiegg, Anna-Lisa Rüeck, Jörg Gamerdinger, Hugues Tchouankem, Edmir Xhoxhi, Georg Volk
2023	—	`conf`	Application-Oriented Resource Orchestration Algorithm for Connected Vehicles. ITSC Edmir Xhoxhi
2023	—	`conf`	LiDaSim: A Lightweight Dataset-Based Simulation Framework for Vehicular Ad Hoc Networks. VTC Fall Edmir Xhoxhi, Vincent Albert Wolff, Alexey Orychshenko
2023	—	`conf`	Message Generation Algorithm for Maneuver Coordination Based on Value of Information. VTC2023-Spring Edmir Xhoxhi, Shule Li, Florian Alexander Schiegg
2023	—	`conf`	On the Coexistence of Maneuver Coordination Service with Use-Case Specific Applications. VNC Edmir Xhoxhi, Shule Li
2022	—	`conf`	Benefits of DCC Facilities in ITS-G5 Networks - First Simulated Results. VTC Spring Edmir Xhoxhi, Florian A. Schiegg

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.

In 2025, he co-authored Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja, published at CheckMATE. The paper evaluates the effectiveness of obfuscation techniques and their impact on source-level static analysis and binary-level decompilation.

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.