6/24 10:30am] Neuro-electronics system: introduction and its applications

  • Subject
    Design process of the neuro-electronics system and its applications
  • Date
    6/24 Thurs 10:30am
  • Speaker
    Texas A&M Univ. Prof. Hangue Park
  • Place
    https://kaist.zoom.us/j/7547293100
Overview: 

 

In this 4-day seminar series, I will introduce the basics of the neuro-electronics system and its practical applications with recent research studies. At the 1st day, I will introduce the neuro-electronics system, about its background and necessary components. At the 2nd day, I will introduce more details about the way for the neuro-electronics system to interact with the nervous system and muscular system and intervene their operations. At the 3rd day, I will deliver the whole design process of the neuro-electronics system that can communicate with the nervous system and replace/assist/augment the body function. I will also introduce the current and future applications of the neuro-electronics system. At the final 4th day, I will introduce our recent works about the neuro-electronics system developments and animal/human experiments at the Integrated Neuroprosthesis Lab (INPL) in Texas A&M University.

Profile: 

Hangue Park is currently an assistant professor in Electrical and Computer Engineering at Texas A&M University. He received his Ph.D. in Electrical and Computer Engineering at Georgia Institute of Technology, in 2017. At Georgia Tech, he worked for multiple human and animal studies with people after spinal cord injury and amputee cats. He also has 5+ years of industrial experience in circuit and system design for cell phone and handheld electronic devices. His current research interests lie in artificial sensory feedback and closed-loop optimization of sensorimotor loop, to assist incomplete body functions and enhance rehabilitation outcomes. He is a recipient of the Trainee Professional Development Award from Society for Neuroscience at 2017, the Outstanding Research Award from the Association of Korean Neuroscientists at 2016, and the Best Demonstration Award at the IEEE Biomedical Circuits and Systems Conference 2012.

 

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