Dr Dana Rezazadegan
- School of Software and Electrical Engineering
- Department of Computer Science and Software Engineering
- Melbourne, VIC Hawthorn campus
Dana Rezazadegan is a Lecturer in the Department of Computer Science and Software Engineering. Her research is in deep learning and computer vision algorithms for robotics, human-robot collaboration (in particular for assistive robots), AI in healthcare, and health informatics.
Dana received her Ph.D. from the Queensland University of Technology in 2019, where she worked on novel deep learning and computer vision methods for human action recognition and human-robot collaboration. She also spent 6 months as a visiting researcher with the UMIACS, at the University of Maryland, where she collaborated on human action prediction for an assistive robot.
After her Ph.D. completion, Dana joined Centre for Health Informatics, at AIHI, Macquarie University in Sydney, where she worked on applying NLP and deep learning for a digital scribe who aimed to summarise doctor-patient consultations and other AI projects.
PhD candidate and honours supervision
Higher degrees by research
Accredited to supervise Masters & Doctoral students as Co-Supervisor.
Fields of Research
- Computer Vision - 460304
- Intelligent Robotics - 460205
- Artificial Intelligence Not Elsewhere Classified - 460299
- Knowledge Representation And Reasoning - 460206
Also published as: Rezazadegan, Dana; Rezazadegan, D.; Rezazadegan, Fahimeh; Rezazadegan, F.
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: Automatic Electricity Price forecasting using Artificial intelligence techniques, in the presence of uncertainties. *; Commonwealth Scientific & Industrial Research Organisation (CSIRO)
* Chief Investigator
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