Yi Hong

Yi Hong is an Adjunct Assistant Professor in the Department of Computer Science at the University of Georgia, Franklin College of Arts & Sciences. Her research focuses on medical image analysis, statistical shape analysis, computer vision, and interdisciplinary applications. She has led grants including an NSF-funded project on Human-Robot Collaboration and another on Image Metamorphosis Analysis. She holds a PhD from the University of North Carolina at Chapel Hill (2016), MSc from the Chinese Academy of Sciences (2011), and BSc from Wuhan University (2007).

• Research Interests: Medical Imaging, Computer Vision, Statistical Shape Analysis, Deep Learning, Biomedical Engineering
• Funding:
  • NSF Grant: NRI: FND (2018-2021)
  • NSF Grant: CRII: SCH (2018-2020)
  • Smart Cyber-Physical Systems for Controlled-Environment Agriculture (2017-2018)
• Awards: NSF Early-Career Research Grants (2018)

Her work bridges computational methodologies with clinical applications, including pediatric airway analysis, neurodegenerative disease diagnostics, and image registration techniques. She collaborates across disciplines to advance medical imaging technologies.