This project was conducted for the Department of Homeland Security (DHS). Due to the sensitive nature of the work, specific findings, data, and interface designs cannot be disclosed. The following case study focuses on my technical contributions and the system architecture.
REVS (Resilience Engineering for Visual Screening) is a research initiative designed to study visual screening behavior and user resilience in controlled, security-focused environments.
My primary role was to architect and build the front-end systems that facilitated this large-scale data collection. The goal was to create a robust, modular platform capable of presenting complex visual stimuli with precise timing and logic.
Broke down the complex research tool into stable, reusable components to ensure maintainability and scalability.
Refined the image presentation logic to meet strict research protocols, ensuring accurate stimulus delivery for visual screening tasks.
Prepared the platform for large-scale participant data collection, focusing on system reliability and user performance tracking.
The findings from this study are currently being compiled for publication. A link to the official research paper will be made available here once it is published.