Ged McGunnigle

12 papers A 5B 2Journal 4Unranked 1

Year	Rank	Type	Title / Venue / Authors
2013	A	`conf`	Identification of single bacteria using micro Raman spectroscopy. ICST Martin De Biasio, Ged McGunnigle, Raimund Leitner, Jürgen Popp, Petra Rösch, D. Balthasar
2005	J	`jnl`	Classifying Surface Texture while Simultaneously Estimating Illumination Direction. Int. J. Comput. Vis. Mike J. Chantler, Maria Petrou, A. Penirsche, M. Schmidt, Ged McGunnigle
2003	J	`jnl`	Resolving handwriting from background printing using photometric stereo. Pattern Recognit. Ged McGunnigle, Mike J. Chantler
2002	A	`conf`	Estimating Lighting Direction and Classifying Textures. BMVC Mike J. Chantler, Ged McGunnigle, Andreas Penirschke, Maria Petrou
2002	—	`conf`	The Effect of Illuminant Rotation on Texture Filters: Lissajous's Ellipses. ECCV (3) Mike J. Chantler, M. Schmidt, Maria Petrou, Ged McGunnigle
2001	A	`conf`	A Comparison of Three Rough Surface Classifiers. BMVC Ged McGunnigle, Mike J. Chantler
2001	J	`jnl`	Evaluating Kube and Pentland's fractal imaging model. IEEE Trans. Image Process. Ged McGunnigle, Mike J. Chantler
2001	A	`conf`	Segmentation of Rough Surfaces using Reflectance. BMVC Ged McGunnigle, Mike J. Chantler
2000	B	`conf`	On the Use of Gradient Space Eigenvalues for Rotation Invariant Texture Classification. ICPR Mike J. Chantler, Ged McGunnigle
2000	J	`jnl`	Rough surface classification using point statistics from photometric stereo. Pattern Recognit. Lett. Ged McGunnigle, Mike J. Chantler
2000	B	`conf`	The Response of Texture Features to Illuminant Rotation. ICPR Mike J. Chantler, Ged McGunnigle
1997	A	`conf`	A Model-Based Technique for the Classification of Textured Surfaces with Illuminant Direction Invariance. BMVC Ged McGunnigle, Mike J. Chantler

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.