cv

This is a description of the page.

Basics

Name Yuan Yuan
Label PhD candidate
Email yyua9990@uni.sydney.edu.au
Url https://yuanyuan29.github.io/
Summary I am a PhD Candidate under the supervision of Prof. [Jinman Kim](https://www.sydney.edu.au/engineering/about/our-people/academic-staff/jinman-kim.html), Dr. [Euijoon (Osmond) Ahn](https://portfolio.jcu.edu.au/Researchers/euijoon.ahn), Prof. [Mohamed Khadra](https://www.sydney.edu.au/medicine-health/about/our-people/academic-staff/mohamed.khadra.html) and Prof. [(David) Dagan Feng](https://www.sydney.edu.au/medicine-health/about/our-people/academic-staff/mohamed.khadra.html) at [the Biomedical Data Analysis and Visualisation (BDAV) Lab](https://github.com/bdavsydney), School of Computer Science, [The University of Sydney](https://www.sydney.edu.au/). Prior to this, I received my B. Eng degree from [Northwestern Polytechnical University](https://en.nwpu.edu.cn/), China, 2019. My research focuses on developing advanced deep learning models for multimodal medical image analysis, aiming to enhance image segmentation, detection, and classification, ultimately benefiting cancer diagnosis and prognosis.

Volunteer

  • NPU Xi'an China

    Assistant
    NPU
    Counselor Assistant & Student Affairs Assistant & Junior Class Assistant
  • USYD Sydney Australia

    Secretary
    USYD
    Secretary of IEEE USYD Student Branch
  • USYD Sydney Australia

    Reviewer
    Pulishers
    Reviewer for CMPB, ISBI’24; and helped to review for TMI, JBHI, MICCAI’23.

Education

  • 2020 - 2025

    Camperdown NSW, Australia

    PhD student
    University of Sydney
    School of Computer Science
    • Doctor of Philosophy in Engineering
  • 2015.09 - 2019.06

    Xi'an, China

    Bachelor student
    Northwestern Polytechnical University, China
    Information Engineering
    • Information Engineering

Awards

Certificates

Publications

Skills

Medical image analysis
Machine learning
Deep learning
Image fusion
Classification
Segmentation

Languages

Chinese (Mandarin)
Native speaker
English
Fluent

Interests

Deep learning
CNN
Transformer