Neural rehabilitation engineering faculty
Neural rehabilitation to enhance patient care
Our neural faculty engage in sophisticated modeling and simulation of neural systems to deepen our understanding of neural function. Our faculty specializes in advanced neural signal acquisition and analysis techniques, leveraging cutting-edge technology to develop innovative solutions for assessing and treating individuals affected by neural and biomechanical pathologies. Their research aims to pave the way for improved diagnostics and therapeutic interventions, enhancing the quality of life for patients through tailored neurological care.
Christopher Buneo
Associate Professor
School of Biological and Health Systems Engineering
Bradley Greger
Associate Professor
School of Biological and Health Systems Engineering
Thurmon Lockhart
Professor
School of Biological and Health Systems Engineering
Dr. Lockhart is the Inaugural MORE Foundation Professor of Life in Motion Professor in the Biomedical Engineering program in the School of Biological Health and Systems Engineering at Arizona State University.
Jitendran Muthuswamy
Associate Professor
School of Biological and Health Systems Engineering
Muthuswamy’s expertise in Neural Engineering centers on Neural Interfaces and Neuromodulation.
Rosalind Sadleir
Associate Professor
School of Biological and Health Systems Engineering
Sadleir’s Neuro-electricity Laboratory works to advance understanding about the electrical activity and properties of the brain.
Marco Santello
Professor
School of Biological and Health Systems Engineering
Santello is the director of the Neural Control of Movement Laboratory. Work in this laboratory focuses on understanding the mechanisms responsible for the control of dexterous movements.
Sydney Schaefer
Associate Professor
School of Biological and Health Systems Engineering
Schaefer’s research aims to accelerate early detection of Alzheimer’s disease, and improve neurorehabilitation in older adults by studying how aging and cognitive impairment affect motor skill learning.