Santosh Kumar
Keynote Speaker Announced
Santosh Kumar is the Lillian & Morrie Moss Chair of Excellence Professor in Computer
Science at the University of Memphis, Director of NIH-funded mDOT Biomedical Technology
Resource Center, and CEO & co-founder of CuesHub, PBC. His research team develops
wearable AI for sensor-triggered mHealth interventions and to better understand and
mitigate new privacy threats emerging from wearable AI. Apps for smartphones and smartwatches
and companion big data software for the cloud developed by his team has been used
to conduct scientific studies nationwide, producing hundreds of terabytes of sensor
data. His team has used these data to develop AI models for detecting stress, stressful
conversations, smoking, craving, cocaine use, brushing, and flossing from wearables.
Keynote Address: Wearable AI for Discovery, Optimization, and Deployment of Just-in-time mHealth Interventions
Abstract: Wearables when combined with AI open unprecedented opportunities to quantify dynamic
changes in an individual’s health state as well as key physical, biological, behavioral,
social, and environmental factors that contribute to health and disease risk, anytime
and anywhere. For example, smartwatches can not only track physical activity, but
they can also be used to monitor stress (from pulse rate), eating, brushing, and smoking
(from hand gestures). By simultaneous monitoring of changes in health status, exposures
to surrounding geographical, environmental, visual, social, and digital worlds, and
health-related behaviors, wearable AI can help discover new predictors of health outcomes.
Continuous and longitudinal monitoring of the individual, their evolving context,
and their compliance and response to interventions can be used in reinforcement learning
algorithms to continuously optimize the intervention to each person over time to have
the maximum efficacy and engagement.
Deploying the optimized mHealth interventions at scale also presents many implementation
challenges that include battery life optimization and understanding, communicating,
and mitigating novel privacy threats emerging from rapid AI advances in wearables.
This talk will showcase these opportunities and challenges using the running example
of smoking cessation.
