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Dr Michelle Dunn


Research interests

Image Processing; Computer Vision; Machine Learning; Signal Processing and Analysis; Non Contact Inspection and Non Destructive Testing

PhD candidate and honours supervision

Higher degrees by research

Accredited to supervise Masters & Doctoral students as Principal Supervisor.

Fields of Research

  • Artificial Intelligence - 460200

Teaching areas

Signal and Image Processing;Biomedical Imaging;Robotic Systems;Biomedical Design and Experimentation


  • 2018, Swinburne, Vice-Chancellor’s Teaching Excellence (Higher Education) Award, Swinburne University of Technology
  • 2013, Swinburne, Vice-Chancellor’s Teaching Excellence (Higher Education) Award , Swinburne University of Technology


Also published as: Dunn, Michelle; Dunn, M.; Dunn, J. Michelle; Dunn, Jane M.; Dunn, Jane Michelle
This publication listing is provided by Swinburne Research Bank. If you are the owner of this profile, you can update your publications using our online form.

Recent research grants awarded

  • 2021: MedTech Vic *; VIC Department of Education and Training
  • 2020: Cuffless blood pressure monitoring device *; Medical Device Partnering Program
  • 2019: Development of portable parasite identification and counting prototype system for farms *; Gallagher Australia Pty Ltd
  • 2017: Telescope Stage 2: Parasite Image Recognition, Filter enhancement, Visualisation of Design *; All Farm Animal Health Trust FS

* Chief Investigator

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