Kevin Curran

Intel (United States), University of Ulster, University of Brawijaya

Papers

Total Citations

H-Index

About

Kevin Curran’s research spans digital image segmentation, indoor robot localisation, and social media security, with a focus on practical, real-world applications. His most cited work, “On Points Geometry for Fast Digital Image Segmentation” (2008, 8 citations), introduces a novel algorithm for automatic image segmentation critical to machine vision and industrial robotics, offering speed and efficiency for production environments. In “Indoor Robot Localisation with Active RFID” (2012, 5 citations), Curran explores RFID technology for tracking costly assets and moving objects, advancing location determination in constrained spaces. His comparative study “Google+ v Facebook: The Comparison” (2012, 2 citations) examines authentication vulnerabilities, highlighting brute force attacks on password systems to improve network security. Though his citation counts are modest, Curran’s contributions demonstrate a diverse technical range—from computer vision to wireless tracking and cybersecurity—reflecting a career dedicated to solving tangible engineering challenges. His work on image segmentation and RFID localisation offers foundational insights for students and researchers in robotics and automation, while his security analysis underscores the ongoing need for robust authentication in social platforms. Curran’s interdisciplinary approach makes his research a valuable resource for those exploring the intersection of hardware, software, and user safety.