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Computer science seminar on novel approaches to in-home rehabilitation

Date:

Wednesday, Jan. 29, 2025

Time:

1:00 p.m.

Location:

Cudahy Hall 414

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Shengting Cao will present, “Intelligent Treadmill Control and Holographic Rendering for Accessible Rehabilitation” on Wednesday, Jan. 29, at 1 p.m. in Cudahy Hall 414.

Stroke remains the leading cause of long-term disability, creating significant financial burdens due to the extensive rehabilitation required. Telerehabilitation offers a cost-effective alternative to in-clinic rehabilitation but often lacks access to advanced equipment like split-belt treadmills and falls short in providing immersive experiences and precise gait/posture visualization through tools like Zoom. In this research talk, Cao will present novel approaches to overcome these limitations in at-home rehabilitation.

Cao is a Ph.D. candidate (ABD) in electrical and computer engineering with a B.S. in computer science from The University of Alabama. His research focuses on AI-driven solutions for rehabilitation, specializing in deep learning, predictive modeling, generative modeling and mixed reality. Shengting developed a patented gait rehabilitation system that leverages self-supervised learning. He has contributed extensively to neural rendering technologies, enhancing virtual and augmented reality experiences for improved accessibility.