Research Output per year
Personal profile
Biography
Dana is a Post-doctoral Research Fellow with the Centre for Health Informatics (CHI) at the Australian Institute of Health Innovation, Macquarie University. She is currently working on using artificial intelligence to automate documentation and diagnosis for helping doctors.
She got her Ph.D. from Queensland University of Technology (QUT). Her thesis aimed to expand the robot’s understanding of ongoing and future human actions to assist the human in assembling tasks. She developed deep learning methods based on CNN and LSTM for human action recognition and prediction. Prior to joining the Queensland University of Technology, her research mainly focused on trajectory tracking control of mobile robots such as AUVs.
Research interests
Robotic vision, Deep learning, Machine learning, Autonomous systems, Human-robot collaboration
Education/Academic qualification
Robotics and autonomous systems, PhD, Queensland University of Technology
2015 → 2018
Electrical Engineering, BSc, MSc, Isfahan University of Technology
2001 → 2005
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Autonomous underwater vehicles
Engineering & Materials Science
Robots
Engineering & Materials Science
Computer vision
Engineering & Materials Science
Trajectories
Engineering & Materials Science
Robotics
Engineering & Materials Science
Controllers
Engineering & Materials Science
Learning systems
Engineering & Materials Science
Pixels
Engineering & Materials Science
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Outputs 2013 2019
A network model of activities in primary care consultations
Kocaballi, A., Coiera, E., Tong, H. L., White, S. J., Quiroz, J., Rezazadegan, F., Willcock, S. & Laranjo da Silva, L., 1 Oct 2019, In : Journal of the American Medical Informatics Association : JAMIA. 26, 10, p. 1074-1082 9 p., ocz046.Research output: Contribution to journal › Article › Research › peer-review
Open Access
File
Primary Health Care
Referral and Consultation
Medical History Taking
Natural Language Processing
Primary Care Physicians
On Encoding Temporal Evolution for Real-time Action Prediction
Rezazadegan, F., Shirazi, S., Baktashmotlagh, M. & Davis, L. S., 2018, (Submitted) In : International Journal of Computer Vision. 7 p.Research output: Contribution to journal › Article › Research › peer-review
Pixels
Unsupervised learning
Railroad cars
Robots
Action recognition: from static datasets to moving robots
Rezazadegan, F., Shirazi, S., Upcrofit, B. & Milford, M., 21 Jul 2017, ICRA 2017 - IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers (IEEE), p. 3185-3191 7 p. 7989361Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › Research › peer-review
Cameras
Robots
Computer vision
Testing
Experiments
A real-time action prediction framework by encoding temporal evolution
Rezazadegan, F., Shirazi, S. & Davis, L. S., 2017, In : arXiv.org e-Print archive. 9 p.Research output: Contribution to journal › Conference paper › Research › peer-review
Pixels
Unsupervised learning
Real time systems
Railroad cars
Robots
A novel approach to 6-DOF adaptive trajectory tracking control of an AUV in the presence of parameter uncertainties
Rezazadegan, F., Shojaei, K., Sheikholeslam, F. & Chatraei, A., 1 Oct 2015, In : Ocean Engineering. 107, p. 246-258 13 p.Research output: Contribution to journal › Article › Research › peer-review