Personalized Health

Research in personalized health uses systems and control, and computational intelligence tools for the understanding, monitoring and treatment of neurological diseases, tracking and optimizing lighting for circadian rhythm and sleep regulation, and computer-aided drug design.  The use of low-cost wearable sensors with advanced signal processing and modeling allows personalized monitor and mediation of health conditions.

Example projects in this area involves:

  • "A Quantitative Approach to the Biochronicity of Circadian Rhythm, Sleep, and Neurobehavioral Performance", Agung Julius and John Wen (ARO)
  • Neuroscience and Control, Sergio Pequito



  • neurological systems
  • circadian rhythm / sleep
  • adaptive assistive care


  • smart wearable sensors
  • adaptive signal processing
  • dynamical model
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