Emanuelle Burton

18 papers A* 2A 1C 2Journal 3Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Experience Report: Teaching Computer Science Ethics using Science Fiction Across Multiple Institutions and Course Types. SIGCSE (1) Emanuelle Burton, Judy Goldsmith, Nicholas Mattei, Matthew Spradling, Alan Tsang, Nanette M. Veilleux
2024	—	`conf`	Managing Authority When Teaching Computing Ethics. SIGCSE (2) Emanuelle Burton, Kristel Clayville, Stacy A. Doore, Michael S. Kirkpatrick, Michael Goldweber
2023	—	`conf`	Teaching Computer Science Ethics Using Science Fiction. SIGCSE (2) Emanuelle Burton, Judy Goldsmith, Nicholas Mattei, Cory Siler, Sara-Jo Swiatek
2022	—	`conf`	Learning Outcomes and Assessments for Ethical Computing. SIGCSE (2) Rasika Bhalerao, Emanuelle Burton, Stacy A. Doore, Judy Goldsmith
2022	—	`conf`	Moving Toward a Responsible CS Curriculum: Every Course Has a Role to Play. SIGCSE (2) Patrick D. Anderson, Emanuelle Burton, Jaye Nias, Marty J. Wolf
2022	—	`conf`	SIGCSE Reads 2022: Using Challenging Stories in your Classroom. SIGCSE (2) Rebecca Bates, Emanuelle Burton, Valerie Summet, Nanette Veilleux, Judy Goldsmith
2021	—	`conf`	Exploring Why Underrepresented Students Are Less Likely to Study Machine Learning and Artificial Intelligence. ITiCSE (1) Daphne Barretto, Julienne LaChance, Emanuelle Burton, Soohyun Nam Liao
2020	A*	`conf`	Assessing Ethical Thinking about AI. AAAI Judy Goldsmith, Emanuelle Burton, David M. Dueber, Beth Goldstein, Shannon Sampson, Michael D. Toland
2020	A	`conf`	Assessment of CS Students' Ethical Reasoning Skills. SIGCSE Emanuelle Burton, David Dueber, Judy Goldsmith, Beth Goldstein, Shannon Sampson, Michael D. Toland
2019	C	`conf`	The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. AIES Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei
2018	J	`jnl`	How to teach computer ethics through science fiction. Commun. ACM Emanuelle Burton, Judy Goldsmith, Nicholas Mattei
2018	—	`conf`	The Heart of the Matter: Patient Autonomy as a Model for the Wellbeing of Technology Users. AAAI Spring Symposia Emanuelle Burton, Kristel Clayville, Judy Goldsmith, Nicholas Mattei
2017	J	`jnl`	Ethical Considerations in Artificial Intelligence Courses. AI Mag. Emanuelle Burton, Judy Goldsmith, Sven Koenig, Benjamin Kuipers, Nicholas Mattei, Toby Walsh
2017	J	`jnl`	Ethical Considerations in Artificial Intelligence Courses. CoRR Emanuelle Burton, Judy Goldsmith, Sven Koenig, Benjamin Kuipers, Nicholas Mattei, Toby Walsh
2017	A*	`conf`	Why Teaching Ethics to AI Practitioners Is Important. AAAI Judy Goldsmith, Emanuelle Burton
2017	—	`conf`	Why Teaching Ethics to AI Practitioners Is Important. AAAI Workshops Judy Goldsmith, Emanuelle Burton
2016	C	`conf`	Using "The Machine Stops" for Teaching Ethics in Artificial Intelligence and Computer Science. AAAI Workshop: AI, Ethics, and Society Emanuelle Burton, Judy Goldsmith, Nicholas Mattei
2015	—	`conf`	Teaching AI Ethics Using Science Fiction. AAAI Workshop: AI and Ethics Emanuelle Burton, Judy Goldsmith, Nicholas Mattei

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.