Rakesh John Amala Arokia Nathan

12 papers Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An aerial color image anomaly dataset for search missions in complex forested terrain. CoRR Rakesh John Amala Arokia Nathan, Matthias Gessner, Nurullah Özkan, Marius Bock, Mohamed Youssef, Maximilian Mews, Björn Piltz, Ralf Berger, Oliver Bimber
2025	J	`jnl`	How Robot Dogs See the Unseeable: Improving Visual Interpretability via Peering for Exploratory Robots. CoRR Oliver Bimber, Karl D. von Ellenrieder, Michael Haller, Rakesh John Amala Arokia Nathan, Gianni Lunardi, Mohamed Youssef, Marco Camurri, Santos Miguel Orozco-Soto, Jeremy E. Niven
2024	J	`jnl`	An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation. CoRR Rakesh John Amala Arokia Nathan, Sigrid Strand, Daniel Mehrwald, Dmitriy Shutin, Oliver Bimber
2024	J	`jnl`	Reciprocal Visibility for Guided Occlusion Removal With Drones. IEEE Geosci. Remote. Sens. Lett. Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber
2024	J	`jnl`	Reciprocal Visibility. CoRR Rakesh John Amala Arokia Nathan, Sigrid Strand, Dmitriy Shutin, Oliver Bimber
2023	J	`jnl`	Stereoscopic Depth Perception Through Foliage. CoRR Robert Kerschner, Rakesh John Amala Arokia Nathan, Rafal Mantiuk, Oliver Bimber
2023	J	`jnl`	Synthetic Aperture Anomaly Imaging for Through-Foliage Target Detection. Remote. Sens. Rakesh John Amala Arokia Nathan, Oliver Bimber
2023	J	`jnl`	Synthetic Aperture Anomaly Imaging. CoRR Rakesh John Amala Arokia Nathan, Oliver Bimber
2022	J	`jnl`	Inverse Airborne Optical Sectioning. CoRR Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber
2022	J	`jnl`	On the Role of Field of View for Occlusion Removal with Airborne Optical Sectioning. CoRR Francis Seits, Indrajit Kurmi, Rakesh John Amala Arokia Nathan, Rudolf Ortner, Oliver Bimber
2022	J	`jnl`	Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms. CoRR Rakesh John Amala Arokia Nathan, Indrajit Kurmi, Oliver Bimber
2021	J	`jnl`	Through-Foliage Tracking with Airborne Optical Sectioning. CoRR Rakesh John Amala Arokia Nathan, Indrajit Kurmi, David C. Schedl, Oliver Bimber

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.