By leveraging open-source frameworks, we delivered sPONG and cPONG, a pair of Secure Socket Service (SSS) applications that turn the classic Pong game into a secure, network-based competition within a Local Area Network. The system enables real-time multiplayer gameplay while incorporating Zero Trust principles, load balancing, proxy servers, auditing, and transparent communications, with an intuitive UI for monitoring socket conditions and packet-level performance. Our resea

Prepare for a thrilling, educational revision of the original computer game; Pong. Read the research intent and abstract below for more information on our project that began in 2025 supported in part by The Cyber Hive, and Old Dominion University (ODU).

By tracking cursor movements and keystrokes, RadSearch generates gaze maps (fixations and saccades), converts them into graphical representations, and computes multiple metrics—including fixation counts, dwell times, matching fixations, graph isomorphism, and Lowest Cost Mapping (LCM) geometric distances. Our research provides insights into the differences in perceptual fluency and search strategies across skill levels, offering a cost-effective, accessible solution for impr

Studying the gaze and fixation patterns of Radiologist just got much simpler thanks to RadSearch. Read the research intent and abstract below for more information on our project that concluded in 2020 supported in part by Old Dominion University (ODU), Stony Brook University (Stony Brook), and the National Institute of Health (NIH).

Using computer vision (HAAR cascade detection & bar tracking), MirrorMatch automatically counts repetitions, measures range of motion, phase (lifting/lowering) durations and velocities, delivering immediate feedback to help beginners improve form and reduce injury risk. We demonstrated MirrorMatch as a scalable, low-cost alternative to wearable sensors for accessible exercise monitoring.

For those seeking a different way to track your fitness progress over time, MirrorMatch does just that. Read the research intent and abstract below for more information on our demonstration that occurred in 2019 supported in part by Dr. Shubham Jain (Stony Brook) and the National Institute of Health (NIH).