Research

Our research interest is grounded at the juncture of engineering and health-sciences, with the ultimate goal of impacting lives through development of novel and transformative digital health technologies posed for successful clinical translation. Our primary focus is on design and development of wearables sensors and systems and AI solutions, with the objective of extracting actionable information for digital health paradigms. Digital health paradigms exemplify the notion of medicine that is always available, accessible and actionable. While there is a tremendous potential with continuous physiological and behavioral monitoring paradigms leading to early detection of disorders or more effective monitoring of therapeutics, the principal challenges are the form factor of wearable sensors that can assist in clinical decision support, predictive tools that can provide accurate insights on the trajectory of disorders, effectiveness of treatment or even the health status when adverse events are introduced. The future of health care will rely on mechanistic AI models with prediction capability and the concept of digital twin that, on a personalized level, will provide equitable and accessible opportunities to all to promote and maximize health and well-being.