MS, Mechanical Engineering, University of Michigan
PhD, Mechanical Engineering, University of Michigan
Kim is interested in designing translational control systems for assistive robots that support human mobility. Her past research investigated using wearable sensors to predict physiological metrics (like metabolic cost), and evaluated user preference as an objective for the control of robotic exoskeletons. At UW, she is studying how young children with disabilities interact with and learn to use powered mobility devices, and how using powered mobility impacts a child’s movement, language, and development.
Playing volleyball, knitting, Broadway musicals, traveling
BS, Bioengineering, minor in Global health technologies – Rice University
Graduate student in Electrical Engineering, UW
Momona is interested in how individuals of all abilities interact with machines. She is working on applying control theory to human-in-the-loop systems to understand how humans learn to control different dynamical systems and to quantify human learning for clinical diagnosis.
PhD, Systems Design Engineering, University of Waterloo, Canada
MS, Mechanical Engineering, K. N. Toosi University of Technology, Iran
BS, Mechanical Engineering, Iran University of Science and Technology, Iran
Naser is currently working at General Motors. While in the lab, Naser developed computational models of human movements in order to study the effect of neuromuscular disorders such as cerebral palsy and stroke on the human motor control system. He is interested in the design of rehabilitation robots and neuroprostheses that can accelerate the rehabilitation process and assist individuals with neuromuscular disorders. Naser’s previous research has explored the biomechanics of reaching, steering, cycling, and curling to better understand the underlying physiological relationship between the neural excitations and the resulting kinetics and kinematics.
BS, Mechanical Engineering – Colorado School of Mines
Alyssa is interested in developing novel translational strategies to improve rehabilitation outcomes for individuals with cerebral palsy. She is currently investigating the effect of using real-time feedback to improve intervention planning and train gait patterns.