Wellstar College Research and Engagement Day

Thursday, April 13 at Prillaman Hall

Celebrating Research, Scholarship, and Community Engagement in the Wellstar College of Health and Human Services

Please join us for a full-day event of presentations, poster sessions, panel discussions, and interactive community partnership events, along with awards for best research and best community engagement, and awards recognizing our top community partners.

Event Schedule

  • Event Time
    Event Description
  • 11:00-12:00
    Welcome and Podium Session 1
    HS 1000
  • 12:00-4:00
    Community Partner Fair
    Indoor Plaza and HS Atrium
  • 12:30-1:30
    Podium Session 2
    HS 1000
  • 2:00-2:15
    Community Partner Awards
    HS 1000
  • 2:15-3:15
    Poster Session
    HS 1001
  • 3:15-3:45
    NCUR Poster Videos
    HS 1001
  • 4:00-5:00
    Keynote Address
    HS 1000
  • 5:15-5:30
    Research Awards and Closing
    HS 1000
Download Event Program


  • Santosh Kumar

    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.