Elizabeth Manias

11 papers Journal 8Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Elderly HealthMag: Systematic Building and Calibrating a Tool for Identifying and Evaluating Senior User Digital Health Software. CoRR Yuqing Xiao, John C. Grundy, Anuradha Madugalla, Elizabeth Manias
2026	J	`jnl`	Towards Explainable Stakeholder-Aware Requirements Prioritisation in Aged-Care Digital Health. CoRR Yuqing Xiao, John C. Grundy, Anuradha Madugalla, Elizabeth Manias
2024	J	`jnl`	Perspectives on telehealth implementation in Australia: An exploratory qualitative study with practice managers and general practitioners. Int. J. Medical Informatics Feby Savira, Andrew Sanigorski, Kevin Mc Namara, Martin Hensher, Anna Peeters, Elizabeth Manias
2024	J	`jnl`	Taxonomy development methods regarding patient safety in health sciences - A systematic review. Int. J. Medical Informatics Tiina Syyrilä, Saija Koskiniemi, Elizabeth Manias, Marja Härkänen
2024	J	`jnl`	Using machine learning models to predict falls in hospitalised adults. Int. J. Medical Informatics Sepideh Jahandideh, A. F. Hutchinson, Tracey Bucknall, Jeffrey Considine, Adam Driscoll, Elizabeth Manias, N. M. Phillips, Bodil Rasmussen, N. Vos, Alison M. Hutchinson
2022	J	`jnl`	Change in nurses' psychosocial characteristics pre- and post-electronic medical record system implementation coinciding with the SARS-CoV-2 pandemic: pre- and post-cross-sectional surveys. Int. J. Medical Informatics Rebecca M. Jedwab, Alison M. Hutchinson, Elizabeth Manias, Rafael A. Calvo, Naomi Dobroff, Bernice Redley
2022	J	`jnl`	Understanding nurses' perceptions of barriers and enablers to use of a new electronic medical record system in Australia: A qualitative study. Int. J. Medical Informatics Rebecca M. Jedwab, Elizabeth Manias, Alison M. Hutchinson, Naomi Dobroff, Bernice Redley
2021	—	`conf`	Facilitators and Barriers to the Adoption of an Electronic Medical Record System by Intensive Care Nurses. Nursing Informatics Somtochukwu Amaka Osajiuba, Rebecca M. Jedwab, Rafael A. Calvo, Naomi Dobroff, Nicholas Glozier, Alison M. Hutchinson, Michael Leiter, Katrina Nankervis, Helen Rawson, Bernice Redley, Elizabeth Manias
2021	—	`conf`	Older Nurses' Perceptions of an Electronic Medical Record Implementation. Nursing Informatics Shaluni Tissera, Rebecca M. Jedwab, Rafael A. Calvo, Naomi Dobroff, Nicholas Glozier, Alison M. Hutchinson, Michael Leiter, Elizabeth Manias, Katrina Nankervis, Helen Rawson, Bernice Redley
2021	—	`conf`	Perioperative Nurses' Perceptions Pre-Implementation of an Electronic Medical Record System. Nursing Informatics Agnes Njane, Rebecca M. Jedwab, Rafael Calvo, Naomi Dobroff, Nicholas Glozier, Alison M. Hutchinson, Michael Leiter, Elizabeth Manias, Katrina Nankervis, Helen Rawson, Bernice Redley
2020	J	`jnl`	Patient and family engagement in communicating with electronic medical records in hospitals: A systematic review. Int. J. Medical Informatics Elizabeth Manias, Tracey Bucknall, Nilmini Wickramasinghe, Kathleen Gray, Jonathan L. Schaffer, Ellie Rosenfeld

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.