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Dana Rezazadegan

Dana Rezazadegan is enthusiastic about the use of artificial intelligence (AI) and Robotics to facilitate people’s lives. She’s bringing innovative solutions to the real-world problems by creating systems who can think and act intelligently.
She is a lecturer of AI and Data Science from Swinburne University of Technology and a superstar of STEM, supporting women in STEM. She graduated from the Queensland University of Technology (QUT) in 2019 with a PhD in Robotic vision. At QUT, she was part of the Australian Centre for Robotic Vision, an Australian Research Council Centre of Excellence, where she worked on training an assistive robot to recognise and predict actions to be able to intelligently collaborate with its human peer for assembling tasks. Dana has worked as a Post-doctoral research fellow to apply Artificial intelligence to healthcare and health informatics at Australian Institute of Health Innovation, Macquarie University.
Dana’s main research is in the field of AI. She is interested in the capability of robots and other agents to develop broadly intelligent behaviour through learning and interaction. Also, she is passionate about applying AI in a wide range of healthcare applications such as helping Alzheimer patients to finish their daily activities, encouraging kids for physiotherapy exercises by a robot trainer, digital scribe, early stage cancer diagnosis and mental disorder recognition from social media.

Experience

  • –present
    Lecturer, Swinburne University of Technology

Education

  • 2019 
    Queensland University of Technology, Robotics and computer vision