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MindGame: Internet of Medical Things Puzzle Platform for ADHD Behavior Analysis
This project aims to analyze ADHD behavioral symptoms using data from a commercial smartwatch's accelerometer, gyroscope, and heart rate sensing, along with computer mouse movement while playing puzzle games.
Collaboration: URI Psychology | PhD Work | Internal URI funding
CareWear: Multimodal Stress Detection Platform
Wearable devices such as smart watches are now part of our daily lives. This research is designed to understand the feasibility of using wearable devices to identify stress events. In the future, the outcome of this study can help to use wearables to detect stress episodes.
Minder: A Wearable for Physiological Biomarkers for Opioid Use Disorder
This NIH/NIBIB R01 project aims to develop a novel artificial intelligence-assisted wearable sensor system, MINDER, which will continuously monitor physiologic changes and use ML algorithms to accurately identify buprenorphine use in opioid use disorders. MINDER is comprised of a custom upper arm wearable a companion app, and a clinician-facing portal.
Collaboration: UMass Chan Medical School | PhD Work | NIH R01
RiseAbove: Epilepsy Self-Management Platform
RISE ABOVE is a self-paced, online stigma self-management program co-designed with people with epilepsy. It features four interactive modules on stress management, stigma recognition, cognitive restructuring, and problem-solving. The program aims to empower users through education and skill-building to better manage internalized stigma.
Collaboration: Brown Health | PhD Work | Epilepsy Foundation, New England
FidgetSense: Fidgeting Detection in ADHD
This project was a collaboration with the Rhode Island–based startup Q2Behave. The goal was to conduct a clinical study to collect foundational behavioral data needed to develop a data analysis algorithm that will ultimately support a wearable platform designed to help children and parents better manage ADHD.
Collaboration: Q2BHEAVE LLC | PhD Work | RI State funding
Kaya: Smart Glove for Parkinson’s Symptom Monitoring
This NSF CPS CAREER project aimed at developing wearable telemedicine technologies—including smart socks and gloves—to support home-based motor assessment for patients with Parkinson's Disease. Integrated with a mobile app and clinician portal, the system enabled real-time monitoring of motor symptoms, enhancing telehealth care.
CarePortal: Clinician Centered Dashboard
This project was related to a clinician-centered dashboard that involves the suggestions, opinions, and feedback of clinicians about what data they would like to visualize if their patients were using wearable technology for self-management. Wearable dataset used in this thesis was collected via the Microsoft band. The Microsoft band collected biometric information such as heart rate, accelerometer.
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