A. J. Lacey

12 papers A 8Journal 2Unranked 2

Year	Rank	Type	Title / Venue / Authors
2003	J	`jnl`	Bayesian and non-Bayesian probabilistic models for medical image analysis. Image Vis. Comput. Paul A. Bromiley, Neil A. Thacker, Marietta L. J. Scott, Maja Pokric, A. J. Lacey, Timothy F. Cootes
2002	A	`conf`	Validating MRI Field Homogeneity Correction Using Image Information Measures. BMVC Neil A. Thacker, A. J. Lacey, Paul A. Bromiley
2001	—	`conf`	A Visualization System for the Clinical Evaluation of Cerebral Aneurysms from MRA Data. Eurographics (Short Presentations) James S. Perrin, A. J. Lacey, Roger Laitt, Alan Jackson, Nigel W. John
2001	A	`conf`	TINA 2001: The Closed Loop 3D Model Matcher. BMVC A. J. Lacey, Neil A. Thacker, Patrick Courtney, Stephen Pollard
2000	A	`conf`	An Evaluation of the Performance of RANSAC Algorithms for Stereo Camera Calibrarion. BMVC A. J. Lacey, N. Pinitkarn, Neil A. Thacker
1999	A	`conf`	Locating Motion Artifacts in Parametric fMRI Analysis. MICCAI A. J. Lacey, Neil A. Thacker, E. Burton, Alan Jackson
1998	J	`jnl`	A multi-stage approach to the dense estimation of disparity from stereo SEM images. Image Vis. Comput. A. J. Lacey, Neil A. Thacker, S. Crossley, R. A. Yates
1998	—	`conf`	Modelling Stereo Vision for Range Sensor Simulation. ESM A. J. Harris, Neil A. Thacker, A. J. Lacey
1997	A	`conf`	Robust Stereo via Temporal Consistency. BMVC S. Crossley, A. J. Lacey, Neil A. Thacker, Nicholas Luke Seed
1996	A	`conf`	Surface Approximation from Industrial SEM Images. BMVC A. J. Lacey, Neil A. Thacker, R. A. Yates
1995	A	`conf`	Smart Feature Detection using an Invariance Network Architecture. BMVC A. J. Lacey, Neil A. Thacker, Nicholas Luke Seed
1994	A	`conf`	Feature Tracking and Motion Classification Using a Switchable Model Kalman Filter. BMVC A. J. Lacey, Neil A. Thacker, Nicholas Luke Seed

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.