Difference between revisions of "Savannah"

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(Created page with "<!-- <meta name="title" content="Savannah Hays "/> --> thumbnail|400px|Percy Pierre Fellowship headshot 2022 <div class="center" style="width: auto; m...")
 
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[[Image:Headshot.jpg|thumbnail|400px|Percy Pierre Fellowship headshot 2022]]
 
[[Image:Headshot.jpg|thumbnail|400px|Percy Pierre Fellowship headshot 2022]]
  
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><font size="5"><b>Lianrui Zuo</b></font> </div>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;"><font size="5"><b>Savannah Hays</b></font> </div>
 
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Image Analysis and Communications Lab, Johns Hopkins University </div>
 
<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Image Analysis and Communications Lab, Johns Hopkins University </div>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Laboratory of Behavioral Neuroscience, National Institute on Aging, National Institutes of Health </div>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">National Science Foundation Fellow </div>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Email: ''lr_zuo@jhu.edu'' </div>
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<div class="center" style="width: auto; margin-left: auto; margin-right: auto;">Email: ''shays6@jhu.edu'' </div>
  
 
{{h2| Biography}}
 
{{h2| Biography}}
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I am currently a fifth year PhD student in the Department of Electrical and Computer Engineering at the Johns Hopkins University. Staring from January 2017, I work in the [http://iacl.jhu.edu/index.php/Main_Page Image Analysis and Communications Lab] (IACL) as a research assistant advised by [http://iacl.jhu.edu/index.php/Prince Dr. Jerry Prince]. Starting from September 2019, I am co-affiliated with the [https://www.nia.nih.gov National Institute on Aging] at National Institutes of Health working as a pre-doctoral research fellow. My full [https://drive.google.com/file/d/1vvC5rG7h1JHnZXuElYT1qGJR98AFVP1g/view?usp=share_link Curriculum Vitae] (last update: May 10 2023).
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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 [http://iacl.jhu.edu/index.php/Main_Page Image Analysis and Communications Lab] (IACL) as a research assistant advised by [http://iacl.jhu.edu/index.php/Prince Dr. Jerry Prince]. I received the NSF Graduate Research Fellowship in 2023. My full [https://livejohnshopkins-my.sharepoint.com/:b:/g/personal/shays6_jh_edu/ES0QwkYaxttGhPxCcr03mqsBw2isJtxPPHlqZRX-k2_Nqw?e=kmPLbQ] (last update: May 3 2023).
  
 
{{h2| Research Interests}}
 
{{h2| Research Interests}}
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{{h2|Education}}
 
{{h2|Education}}
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* M.S.E. in Electrical and Computer Engineering, [https://www.jhu.edu Johns Hopkins University], USA. ''Aug 2016 &ndash; May 2018''
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* Biomedical Engineering B.S., West Virginia University, USA. ''Aug 2018 &ndash; May 2022''
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** Thesis: ''[https://jscholarship.library.jhu.edu/handle/1774.2/59275 Quality Assurance Using Outlier Detections For Cerebellar Lobule Segmentation]''. Diss. Johns Hopkins University, 2018.
 
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* B.S. in Instrument Science and Technology, [https://www.jlu.edu.cn Jilin University], China. ''Sep 2012 &ndash; May 2016''
 
  
 
{{h2|Publications}}
 
{{h2|Publications}}

Revision as of 22:41, 2 June 2023


Percy Pierre Fellowship headshot 2022
Savannah Hays
Image Analysis and Communications Lab, Johns Hopkins University
National Science Foundation 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 [1] (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

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
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