I build open source software and technology to support reliable high-frequency data collection from mobile and wearable sensors to enable sensor-triggered just-in-time adaptive interventions.
This is coupled with an analytics cloud designed to facilitate mobile health data analytics and interventions that enables population-scale model development, training, and evaluation. It brings state-of-the-art research techniques and methodologies together in a single system to affect clinical outcomes.
Disseration: A System for Tracking People in Homes for Smart Home ApplicationsUniversity of Virginia
Thesis: Software based deployment of encryption keys in wireless sensor networks.University of Louisville
My research focused on indoor tracking and navigation systems, mobile health interventions, and body sensor systems.University of Memphis