Dr Michelle Dunn
Senior Lecturer
- School of Science, Computing and Engineering Technologies (SoSCET)
- Department of Engineering Technologies
- EN701a Hawthorn campus
Research interests
Signal Processing and Analysis; Image processing; Lunar Dust Mitigation; Collaborative Robotics; Cobots; Industrial Robotics; Industrial Automation; Assistive Technologies; Wheelchair design
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Principal Supervisor.
Honours
Available to supervise honours students.
Fields of Research
- Rehabilitation Engineering - 400310
- Manufacturing Robotics - 400707
- Image Processing - 460306
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
- 2024: Cryogenic Experimental Laboratory for Low-background Australian Research *; ARC Linkage Infrastructure and Equipment Scheme
- 2023: Development of Heat Flow Monitoring System for the BOF *; ARC Industrial Transformation Research Hubs
- 2021: ARC Training Centre for Collaborative Robotics in Advanced Manufacturing *; ARC Industrial Transformation Training Centres
- 2021: Development of Sound Sensors for Control of Ladle Metallurgy *; ARC Industrial Transformation Research Hubs
- 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