The brain machine interface project is consist of multidisciplinary members. It is a translational research including from the basic sciences to the clinical sciences. It will developing a state of the art technology for connecting the brain and electronic devices. 


Our mission is to develop a brain machine interface that is compact and wireless and of high resolution that allows free communication with an artificial limb or the nervous tissue downstream from a lesion to allow restoration of function by functional electric stimulation or direct connection to electronic circuitry. We are also aiming to develop a high resolution wireless device for sensory input to the brain, such as vision, hearing, touch and smell. Our team contains experts in neuroscience with experience in stem cell research, interest in optogentic brain interface, electric engineers with high experience in micro dimension wireless electrodes, Neurologists with experience in Clinical Neurophysiology and electrocorticography, material scientists with specialty in biocompatible materials, robotics engineers, and computer engineers with subspecialty in artificial intelligence and convoluted networks and biomedical engineers. 

The clinical use of such applications includes to name a few:

  • Management of paralysis is paraplegics, quadriplegics
  • Management of paralysis in amputees
  • New management of nerve injuries
  • Improve management of epilepsy

Faculty Members

  • Kiminobu Sugaya
  • Refaat El-Said
  • Brian Kim
  • Sudipta Seal
  • Quishi Fu
  • Hansen Mansy
  • Melanie Coathup

 Students Members

  • Alex McClanahan
  • Ezat El-Said
  • Kimberly Caudell
  • Angie El-Said
  • Mia Cozart
  • Minh Vo