D. Livingston McPherson

13 papers A* 2A 2Journal 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Beyond the Dashboard: Investigating Distracted Driver Communication Preferences for ADAS. CoRR Aamir Hasan, D. Livingston McPherson, Melissa Miles, Katherine Rose Driggs-Campbell
2024	J	`jnl`	DRAGON: A Dialogue-Based Robot for Assistive Navigation With Visual Language Grounding. IEEE Robotics Autom. Lett. Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Driggs-Campbell
2023	A	`conf`	An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. IROS Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Driggs-Campbell
2023	J	`jnl`	An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation. CoRR Andre Schreiber, Tianchen Ji, D. Livingston McPherson, Katherine Rose Driggs-Campbell
2023	J	`jnl`	DRAGON: A Dialogue-Based Robot for Assistive Navigation with Visual Language Grounding. CoRR Shuijing Liu, Aamir Hasan, Kaiwen Hong, Runxuan Wang, Peixin Chang, Zachary Mizrachi, Justin Lin, D. Livingston McPherson, Wendy A. Rogers, Katherine Rose Driggs-Campbell
2023	A*	`conf`	Intention Aware Robot Crowd Navigation with Attention-Based Interaction Graph. ICRA Shuijing Liu, Peixin Chang, Zhe Huang, Neeloy Chakraborty, Kaiwen Hong, Weihang Liang, D. Livingston McPherson, Junyi Geng, Katherine Rose Driggs-Campbell
2023	J	`jnl`	Learning Rewards and Skills to Follow Commands with A Data Efficient Visual-Audio Representation. CoRR Peixin Chang, Shuijing Liu, Tianchen Ji, Neeloy Chakraborty, D. Livingston McPherson, Katherine Driggs-Campbell
2023	J	`jnl`	Learning Task Skills and Goals Simultaneously from Physical Interaction. CoRR Haonan Chen, Ye-Ji Mun, Zhe Huang, Yilong Niu, Yiqing Xie, D. Livingston McPherson, Katherine Driggs-Campbell
2023	A*	`conf`	Learning Visual-Audio Representations for Voice-Controlled Robots. ICRA Peixin Chang, Shuijing Liu, D. Livingston McPherson, Katherine Rose Driggs-Campbell
2023	J	`jnl`	Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. CoRR Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
2023	A	`conf`	Structural Attention-based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection. AAMAS Neeloy Chakraborty, Aamir Hasan, Shuijing Liu, Tianchen Ji, Weihang Liang, D. Livingston McPherson, Katherine Rose Driggs-Campbell
2023	J	`jnl`	Towards Safe Multi-Level Human-Robot Interaction in Industrial Tasks. CoRR Zhe Huang, Ye-Ji Mun, Haonan Chen, Yiqing Xie, Yilong Niu, Xiang Li, Ninghan Zhong, Haoyuan You, D. Livingston McPherson, Katherine Driggs-Campbell
2023	J	`jnl`	User-Friendly Safety Monitoring System for Manufacturing Cobots. CoRR Ye-Ji Mun, Zhe Huang, Haonan Chen, Yilong Niu, Haoyuan You, D. Livingston McPherson, Katherine Driggs-Campbell

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.