Areas of study:

  • Activity Learning - Discovery, Recognition, and Prediction
  • Gerontechnology
  • Multiple resident profiling
  • Automated clinical diagnoses
  • Energy-efficient home automation
  • Transfer learning between heterogeneous sensor platforms
  • Identification of trends and anomalies in smart home sensor data
  • Design of just-in-time, context-aware health interventions
  • Modeling behavior from continuous smartwatch sensor data in the wild
  • Automated assessment of cognitive health
  • Automated support for management of chronic health conditions
  • Creation of human digital twins from multimodal information

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