BS, Mechanical Engineering, minor in Biomedical Engineering – Clarkson University
RESEARCH INTEREST
Nicole is interested in rehabilitation biomechanics, treatments, and technology. She is currently investigating the impacts of powered mobility devices for toddlers with cerebral palsy.
Christina is interested in the mechanisms underlying motor recovery after stroke and improving upper extremity function. She is currently looking into muscle activity during the acute phase of stroke.
BS, Bioengineering, minor in Global health technologies – Rice University
Graduate student in Electrical Engineering, UW
RESEARCH INTEREST
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
RESEARCH INTEREST
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
RESEARCH INTEREST
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.