Dr Michelle Dunn
Lecturer
- Faculty of Science, Engineering & Technology
- School of Software and Electrical Engineering
- Department of Telecommunications, Electrical, Robotics and Biomedical Engineering
- ATC736 Hawthorn campus
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 students as Principal Supervisor.
Fields of Research
- Artificial Intelligence And Image Processing - 080100
Teaching areas
Signal and Image Processing;Biomedical Imaging;Robotic Systems;Biomedical Design and Experimentation
Awards
- 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
Publications
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
- 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
Recent media
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