Savannah

Percy Pierre Fellowship Headshot 2022

Savannah Hays

Image Analysis and Communications Lab, Johns Hopkins University

National Science Foundation Graduate Research Fellow

Email: shays6@jhu.edu

Biography

I am currently a first year PhD student in the Department of Electrical and Computer Engineering at the Johns Hopkins University. Staring from June 2022, I work in the Image Analysis and Communications Lab (IACL) as a research assistant advised by Dr. Jerry Prince. I received the NSF Graduate Research Fellowship in 2023. My full CV (last update: May 3 2023).

Research Interests

• Multi-contrast MRI synthesis and harmonization
• Machine learning and deep learning

Education

• Biomedical Engineering B.S., West Virginia University, USA. Aug 2018 – May 2022

Publications

[gs = pMxz1VYAAAAJ Google Scholar]

Awards

• Best Paper Award. (First author) Disentangling A Single MR Modality. The 2nd Workshop on Data Augmentation, Labeling, and Imperfections (DALI 2022) in conjunction with MICCAI 2022.
• Best Poster Award. (First author) Information-based Disentangled Representation Learning for Unsupervised MR Harmonization. The 27th International Conference on Information Processing in Medical Imaging (IPMI 2021).
• Best Paper Award. (Second author) Variationalintensitycrosschannelencoderforunsupervised vessel segmentation on OCT angiography. In Medical Imaging: International Society for Optics and Photonics (SPIE), 2020.
• Scientific Director Award. The 25th Annual National Institute on Aging Intramural Research Program Scientific Retreat, 2020.
• Pre-doctoral Intramural Research Training Award, National Institute of Health, 2019–2022.

Teaching and Mentoring

• Research Mentor, National Science Foundation: Research Experiences for Undergraduates. Summer 2021
• Teaching Assistant, EN 520.414/520.614 Image Processing and Analysis I, The Johns Hopkins University. Fall 2017, Fall 2018 (Named as finalist for Whiting School of Engineering’s Excellence in Teaching Awards).
• Teaching Assistant, EN 520.433/520.623 Medical Image Analysis, The Johns Hopkins University. Spring 2018, Spring 2021