Zhibin Liao

Dr Zhibin Liao

Grant-Funded Researcher (C)

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.


Dr Zhibin Liao is a Senior Research Fellow at AIML. He has over 10 years of research experience in AI research and 6 years dedicated to medical AI. He has 35 publications and 2 US patents and was awarded over $3 million in funding as chief or co-investigator. His research interest is to develop AI solutions for solving clinical problems.

In 2021-2023 at AIML, he was the AI lead in an NHMRC partnership project RAPIDx AI, working with Siemens and SA Health to develop and clinically test a real-time myocardial injury detection AI. The AI is currently trialled at 6 South Australian hospitals with more than 17,000 enrolled patients.

From 2017 to 2019 at the University of British Columbia (Canada), he was a postdoctoral research fellow at the RCL Lab supervised by Professor Purang Abolmeasumi. He participated in an ultrasound cardiovascular diagnostic AI tool development during that period.

Dr Liao obtained a PhD in Computer Science at the University of Adelaide in 2018. During his PhD, he was a member of the Australian Research Council Centre of Excellence for Robotic Vision (ACRV). His PhD supervisor was Professor Gustavo Carneiro.

  • Appointments

    Date Position Institution name
    2022 - ongoing Senior Research Fellow University of Adelaide
    2019 - 2021 Postdoctoral Resaerch Fellow University of Adelaide
    2017 - 2019 Postdoctoral Research Fellow University of Birtish Columbia
  • Education

    Date Institution name Country Title
    2013 - 2018 University of Adelaide Australia PhD in Computer Science
    2012 - 2013 University of Adelaide Australia Bachelor in Computer Science (First Class Honours)
    2009 - 2012 University of Adelaide Australia Bachelor of Computer Science

2022

  • Accelerating Drug Discovery with Machine Learning. DIGI + FAME Strategy Internal Grant 2021, University of Adelaide. ($20,000, Co-CI)
  • Faculty of Health and Medical Sciences Research Infrastructure Funding Awards 2022, University of Adelaide. ($25,000, Co-CI)
  • AI lead on the NHMRC partnership Cardiovascular Chest Pain analysis project. Collaboration with Flinders Medical Centre (https://healthtranslationsa.org.au/project/rapid-x-ai/).
  • Orthopedics AI Research Collaboration with Flinders Medical Centre (FMC), Australia and University Medical Centre Groningen (UMCG), The Netherlands. ($290,000 for one postdoc, Co-CI)

2023

  • Chronic myelomonocytic leukaemia AI analysis. A SA Pathology collaboration supported by the state government's funding to AIML. (https://www.sapathology.sa.gov.au/wps/wcm/connect/sa+pathology+internet+content+new/content/news/ai+and+pathology).
  • A predictive model for IVF cycle outcomes from personalised granulosa cell profile. Collaboration with Robinson Research Institute (RRI Innovation Seed Funding, $20,000, Co-CI)
  • Advancing Diagnosis or Treatment of Child and Adolescent Rheumatic Diseases. The Hospital Research Foundation. ($125,000, CI-A)
  • AutoMedic: A scalable, smart solution to detect and resolve medicine harm. MRFF National Critical Research Infrastructure ($2,923,818, Co-CI)

 

Awards:

Winner of the 2020 ImageCLEF VQA-Med and VQG-Med challenge (https://www.aicrowd.com/challenges/imageclef-2020-vqa-med-vqa/leaderboards, https://set.adelaide.edu.au/news/list/2020/06/10/winners-of-the-imageclef-2020-medical-vqa-challenge)

Master Research Project Supervision

  • Master of AIML/CS (6 students, 2024, trimester/semester 1)

 

  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Principal Supervisor Towards Explainable AI in Medical Imaging: Bridging the Gap between Deep Learning and Radiologist Trust with Human Interactions Doctor of Philosophy Doctorate Full Time Mr Huy Ta
    2024 Co-Supervisor Advancing Medical Image Analysis with Insights from Large-scale Foundation Models Doctor of Philosophy Doctorate Full Time Yunxiang Liu
    2023 Principal Supervisor Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics Doctor of Philosophy Doctorate Full Time Mr Townim Faisal Chowdhury
    2023 Co-Supervisor Photonics and Machine learning approaches to Detect Environment, Physiology and Disease Doctor of Philosophy Doctorate Full Time Ms Madeleine Cochrane
    2022 Co-Supervisor Computer Vision Doctor of Philosophy Doctorate Full Time Mr Yongtao Ge
    2022 Principal Supervisor Improving the Few-Shot Generalization of Data-to-Text Generation Models Doctor of Philosophy Doctorate Full Time Mr Xuan Ren
    2022 Co-Supervisor Toward efficient 2D human pose estimation with transformer and conditional Convolution Doctor of Philosophy Doctorate Full Time Mr Weian Mao
    2021 Co-Supervisor Towards Accurate Semi-Supervised Semantic Segmentation with Fewer Annotations Doctor of Philosophy Doctorate Full Time Miss Jinchao Ge
    2020 Co-Supervisor Scalable deep learning for scene understanding Doctor of Philosophy Doctorate Full Time Mr James Paul Bockman
  • Past Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2021 - 2024 Co-Supervisor Towards Effective and Efficient Semantic Segmentation Doctor of Philosophy Doctorate Full Time Mr Bowen Zhang
    2020 - 2021 Co-Supervisor Efficient Fully Convolutional Networks for Dense Prediction Tasks Doctor of Philosophy Doctorate Full Time Ms Yifan Liu
    2020 - 2023 Co-Supervisor Label-Efficient Segmentation for Diverse Scenarios Doctor of Philosophy Doctorate Full Time Mr Yunzhi Zhuge
  • Position: Grant-Funded Researcher (C)
  • Phone: 83132070
  • Email: zhibin.liao@adelaide.edu.au
  • Fax: 83134366
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 2
  • Org Unit: Australian Institute for Machine Learning - Projects

Connect With Me
External Profiles