Announcing our new Postdoc Research Fellow: Dr. Dimity Miller
We are very pleased to announce Dimity Miller joined the Embodied AI team at the CSIRO Robotics and Autonomous Systems group as a Postdoctoral Research Fellow. She is also a member of the CSIRO Machine Learning and Artificial Intelligence (MLAI) Future Science Platform. The CSIRO Machine Learning and Artificial Intelligence (MLAI) Future Science Platform (FSP) is a $20M investment by CSIRO for machine learning research. Dimity is a member of the Spatiotemporal Activity led by Dr. Peyman Moghadam and she holds a joint position at the Queensland University of Technology (QUT) with Prof. Raja Jurdak’s team.
“I enjoy bridging the gap between the robotics and the computer vision community – particularly, where do typical computer vision approaches fail for robotics and how do we address this? I’m excited to join the CSIRO Robotics and Embodied AI team and work with leading robotics researchers to work on these challenging problems.” says Dimity Miller
She will soon be receiving her PhD from QUT, where she worked with the Australian Centre for Robotic Vision and QUT Centre for Robotics. Dimity’s PhD thesis explored uncertainty estimation for object detection open-set conditions, where novel objects are encountered and traditional detectors make perception failures. Prior to her PhD, she received her Bachelors in Mechatronics Engineering. Dimity’s research areas include reliability for deep learning-based vision deployed aboard robotic systems, with a particular focus on spatiotemporal object detection.