Vu Minh Hieu Phan

Dr Vu Minh Hieu Phan

Grant-Funded Researcher (B)

Australian Institute for Machine Learning - Projects

Faculty of Sciences, Engineering and Technology

Eligible to supervise Masters and PhD - email supervisor to discuss availability.

Hieu Phan is a research fellow working on theoretical computer vision and deep learning models for medical imaging at AIML. His research interests include visual foundational models, vision language models, knowledge distillation, continual learning, and generative models for image synthesis. His research has been published at top-tier venues such as CVPR, ACL, IJCV, WACV, MICCAI, and Neurocomputing journal. He serves as a regular reviewer for TPAMI, IJCV, TCSVT, NeurIPS, and CVPR.

My research involves developing deep learning models for computer vision, medical image analysis, and natural language processing. Here is my Google Scholar profile.

My area of research includes:

  • Visual foundational models for zero-shot / few-shot learning of medical imaging.
  • Vision-language modelling for medical image classification and segmentation
  • Continual learning of semantic segmentation
  • Knowledge distillation for efficient deep learning
  • Generative models for medical image synthesis
  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2024 Co-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
    2023 Co-Supervisor Explainable and Semantically Meaningful Deep Learning Models for Medical Risk Prediction and Diagnostics Doctor of Philosophy Doctorate Full Time Mr Townim Faisal Chowdhury
  • Position: Grant-Funded Researcher (B)
  • Email:
  • Campus: North Terrace
  • Building: Australian Institute for Machine Learning, floor 2
  • Org Unit: Australian Institute for Machine Learning - Projects

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