Dr Michelle Dunn
Senior Lecturer
- School of Software and Electrical Engineering
- Department of Telecommunications, Electrical, Robotics and Biomedical Engineering
- EN701a 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 & 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
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
- 2021: ARC - IH200100005 - Project 4.1.3 - Development of Sound Sensors for Control of Ladle Metallurgys *; ARC Industrial Transformation Research Hubs
- 2021: ARC Training Centre for Collaborative Robotics in Advanced Manufacturing *; ARC Industrial Transformation Training Centres
- 2020: Cuffless blood pressure monitoring device *; Medical Device Partnering Program
- 2019: Development of portable parasite identification and counting prototype system for farms *; Innovation Connections
- 2017: Telescope Stage 2: Parasite Image Recognition, Filter enhancement, Visualisation of Design *; Department of Industry, Innovation and Science
* Chief Investigator