AI tools for medical assessment and diagnostics: Development of novel longitudinal databases to predict outcomes for therapeutic intervention or disease progression, including the development of AI/ML systems for personalized care in neurorehabilitation
Assistive Systems in Neurorehabilitation: Development of 3D printed variable rigidity assistive devices such as ankle-foot orthoses to optimize post-stroke gait rehabilitation
Human Performance Quantification: Development of metrics to define neural and muscular performance adaptation during training and rehabilitation. Applications in post-stroke rehabilitation and sports performance
Neuromuscular Control of Movement: Developing computational models of cortical and spinal level systems for the development of novel neurorehabilitation technology
Wearable Medical Devices: Development of medical devices for non-invasive monitoring. This include high-density electrode systems for physiological monitoring, non-invasive tissue imaging, and neurostimulation electrodes

November 2021–October 2024
SEPCORPS Model - SEParating CORtical and SPinal -level motor control responses using transcranial direct current stimulation and transcutaneous electrical stimulation
National Science Foundation
Role: Principal Investigator

Filip Stefanovic

PhD