Higher Degree by Research Candidate
School of Computer Science
Faculty of Engineering, Computer and Mathematical Sciences
I am a HDR student with the Australian Institute for Machine Learning and Visual Physiology and Neurobotics Laboratory at the University of Adelaide. I am currently researching motion detection in neural networks and how bio-inspired approaches for motion detection can help with object detection.
I am interested in the comparisons between biological systems and machine learning. The new wave of machine learning has opened up this 'new brain' that we can teach, but I want to know what this new brain can teach us.
Neural networks such as YOLO have achieved state-of-the-art results for object detection by processing static frames. These networks are able to process videos by taking in frames continuously, however the larger number of frames requires more computational power. Insects such as dragonflies are expert hunters and use motion cues to identify targets with inconceivably small brains. Inspired by these computationally cheap biological systems, my research aims to combine motion with conventional object detection to make quick and accurate object detection algorithms.
Date Position Institution name 2019 PhD Student University of Adelaide
Language Competency English Can read, write, speak, understand spoken and peer review
Date Institution name Country Title 2015 - 2018 The University of Adelaide Australia Bachelor of Engineering (Honours)(Software)
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