Jo Plested is an Associate Lecturer who has been researching deep learning for 10 years. Her expertise is focused on transfer learning for small specialised datasets. Jo created the new honours level course Deep Learning at UNSW Canberra. For three years, Jo lectured in and produced all course material and assessments for the deep learning section of honours and masters level courses “Neural Networks, Deep Learning and Bio-inspired...view more
Jo Plested is an Associate Lecturer who has been researching deep learning for 10 years. Her expertise is focused on transfer learning for small specialised datasets. Jo created the new honours level course Deep Learning at UNSW Canberra. For three years, Jo lectured in and produced all course material and assessments for the deep learning section of honours and masters level courses “Neural Networks, Deep Learning and Bio-inspired Computing” for up to 250 students at the Australian National University. Jo is also part of a group that developed a data science and artificial intelligence short course for Defence. She has supervised over 20 students doing Honours, Masters and Chief of Defence Force (CDF) one and two semester projects. She has mentored many more coursework students in research undertaken as part of her course. Over 20 of these projects are published as high ranking international conference and journal papers.
My Grants
Jo Plested has received over $900,000 in research grants, in deep learning algorithms and application areas. She has been the chief investigator for 5 external grants.
My Research Activities
I am looking for PhD students who have an interest in deep learning and a background in deep learning or a strong maths background. ***Scholarships of $35,000 (AUD) are available for Ph.D. students ***
Dr Jo Plested is Head of the Deep Learning Group at UNSW Canberra. We are available to collaborate with domain experts to apply deep learning models in the best way to any application area. Some of the research groups/areas I work with are:
- The UNSW Bushfire Research Group working on bushfire spread prediction and related tasks.
- Swarming and robotics on visual swarming
- Physical computation on implementing neural networks using physical materials
- Quantum computing on using deep learning to predict and overcome the effects of environmental noise
- Military and AI ethics on assessing the implications of AI trageting systems and related tasks
https://orcid.org/0000-0001-9342-4539