Elizabeth Morse-McNabb

13 papers C 3Journal 7Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An automated image quality assessment method for dairy applications by multi-threshold analysis with parallel computing and computer vision. Vis. Comput. Md. Farhad Hasan, Elizabeth Morse-McNabb
2025	J	`jnl`	Can perennial ryegrass-based models of pasture biomass be applied to alternative species? Comput. Electron. Agric. Anna Thomson, Md. Farhad Hasan, M. Berkhout, Joe Jacobs, Elizabeth Morse-McNabb
2023	J	`jnl`	A Multi-Variable Sentinel-2 Random Forest Machine Learning Model Approach to Predicting Perennial Ryegrass Biomass in Commercial Dairy Farms in Southeast Australia. Remote. Sens. Elizabeth Morse-McNabb, Md. Farhad Hasan, Senani Karunaratne
2023	J	`jnl`	Comparing the predictive ability of Sentinel-2 multispectral imagery and a proximal hyperspectral sensor for the estimation of pasture nutritive characteristics in an intensive rotational grazing system. Comput. Electron. Agric. Anna Thomson, Joe Jacobs, Elizabeth Morse-McNabb
2022	J	`jnl`	Multi-site calibration and validation of a wide-angle ultrasonic sensor and precise GPS to estimate pasture mass at the paddock scale. Comput. Electron. Agric. A. R. Lawson, K. Giri, Anna Thomson, Senani Karunaratne, Kevin F. Smith, Joe Jacobs, Elizabeth Morse-McNabb
2020	J	`jnl`	The Fusion of Spectral and Structural Datasets Derived from an Airborne Multispectral Sensor for Estimation of Pasture Dry Matter Yield at Paddock Scale with Time. Remote. Sens. Senani Karunaratne, Anna Thomson, Elizabeth Morse-McNabb, Jayan Wijesingha, Dani Stayches, Amy Copland, Joe Jacobs
2019	—	`conf`	Using Sentinel-2 Image Time Series to map the State of Victoria, Australia. MultiTemp Charlotte Pelletier, Zehui Ji, Olivier Hagolle, Elizabeth Morse-McNabb, Kathryn Sheffield, Geoffrey I. Webb, François Petitjean
2014	J	`jnl`	Managing Wheat From Space: Linking MODIS NDVI and Crop Models for Predicting Australian Dryland Wheat Biomass. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Eileen M. Perry, Elizabeth Morse-McNabb, James Nuttall, Garry O'Leary, Robert Clark
2013	C	`conf`	Creating an historical land cover data set for the Wimmera region, Victoria, Australia from the USGS Landsat archive. IGARSS Kathryn Sheffield, Elizabeth Morse-McNabb
2013	C	`conf`	Managing wheat from space: Linking MODIS NDVI and crop models for Australian dryland wheat. IGARSS Eileen M. Perry, Elizabeth Morse-McNabb, James Nuttall, Garry O'Leary, Robert Clark
2013	C	`conf`	Time series analysis of MODIS EVI data for regular land cover mapping in Victoria, Australia. IGARSS Elizabeth Morse-McNabb, Kathryn Sheffield, Robert Clark
2012	—	`conf`	Calibration and Validation of State Wide Land Cover Mapping. GSR Elizabeth Morse-McNabb, Kathryn Sheffield, Robert Clark, Susan Robson, Hayden Lewis
2012	—	`conf`	Historical Land Cover Assessment: Challenges and Achievements. GSR Kathryn Sheffield, Elizabeth Morse-McNabb

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.