Daniel R. McArthur

Papers

Total Citations

H-Index

About

Daniel R. McArthur is a researcher focused on advancing autonomous physical security systems, with a particular emphasis on reducing false alarm rates and minimizing human operator intervention. His most-cited work, "Autonomous Detection and Assessment with Moving Sensors" (2020), introduces a novel architecture that enables adaptive, real-time threat detection and assessment using mobile sensor platforms. This contribution addresses a critical gap in current security approaches, which often struggle with the rarity of genuine threats amid high volumes of benign activity. While his citation count is still growing—reflecting the early stage of this impactful line of research—McArthur’s work has laid a foundational framework for more efficient, automated security systems. His research integrates sensor mobility, machine learning, and adaptive algorithms to create scalable solutions for physical security challenges. McArthur’s contributions are particularly notable for their potential to transform how security is managed in dynamic environments, from critical infrastructure to public spaces. As his work gains recognition, it promises to influence both academic research and practical security implementations, marking him as an emerging voice in the field of autonomous systems and security engineering.