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Luke Osborn, MSE
losborn@jhu.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: I am interested in using tactile feedback to enhance upper limb prostheses. My focus is on developing a system with embedded sensors to create a closed-loop system that enhances the functionality and stability of prosthetic hands as well as sockets.
 
 
Joseph Betthauser
jbettha1@jhu.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: I am interested in decoding surface and intramuscular EMG signal for simultaneous and proportional multi-DOF control of upper limb prosthesis.Points of interest include DSP and pattern rec for decoding, adaptive learning models for control, and the improvement of EMG sensor designs (e.g. approach intramuscular signal feature quality with surface electrodes). I hope to develop non-invasive techniques for enhancing the utility of upper limb prostheses for amputee patients, thereby improving their quality of life. My current work is focused on simultaneous and proportional wrist rotation and grasp for trans-radial amputees.
 
 
Chris Hunt
chunt11@jhmi.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: I am a second year BME PhD student. I am interested in using multi-modal information for improving myoelectric prosthesis control.
 
 
Mark Iskarous
miskaro1@jhu.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: I am a first year PhD student in the BME Department with a background in Electrical Engineering and Computer Science. I am particularly interested in System-Level Circuit Design and Analog front-ends. In lab, I'm interested in designing sensors and systems to enable naturalistic sensory feedback to upper limb prostheses and their users.
 
 
Cynthia Steinhardt
csteinh2@jhu.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: I am a first year PhD student in biomedical engineering. I am interested in providing tactile sensory feedback to prostheses to improve object interactions.? My work involves modeling a human-prosthesis interaction with sensory feedback using control theory and exploring how feedback integrates with the residual limb and motor learning system.
 
 
Sapna Kumar
skumar58@jhu.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: I am a second year masters student in biomedical engineering who is interested in the study of electrode interface to measure surface Electromyography (sEMG) and its signal source in people with upper limb amputations. My work involves developing an electrode interface for EMG signal source optimization to improve performance of upper limb myoelectric control systems.
 
 
Avinash Sharma
Avinash@jhmi.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: I?m a first year MSE student in biomedical engineering and I?m interested in developing Virtual & Augmented Reality systems for prothesis training and control.
 
 
Teja Kera
tkarri@jhu.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: First year BME MSE student
 
 
Darshini Balamurugan
dbalamu1@jhu.edu
Research Group:
Brain Computer Interfaces & Neuroprostheses
About: First year robotics MSE student
 
 
 
   

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