Miss Alice Bates

PhD thesis submitted September 2016, Bachelor of Engineering with first class honours, University of Auckland
Research Fellow
ANU College of Engineering and Computer Science

Areas of expertise

  • Signal Processing 090609

Research interests

Sampling, reconstruction and processing of signals with spherical geometry. Some applications I have worked on are fibre structure estimation in diffusion MRI and the modeling of the head-related transfer function in acoustics.


I am a Research Fellow in the Signal Processing Group, Research School of Engineering at the Australian National University under the supervision of Professor Rodney Kennedy. My PhD thesis, titled Applied Sampling and Reconstruction of Signals on the Sphere, was submitted September 2016.  I obtained my Bachelor of Engineering with Honours Degree, specialising in electrical engineering, at the University of Auckland where I received a Senior Scholar Award for first in my cohort. My research interests include image and other forms of signal processing. 

The topic of my thesis was the application driven development of signal processing techniques for the collection and processing of signals with spherical geometry. Some applications I have worked on are estimating the intra-voxel fibre structure in diffusion magnetic resonance imaging, and the sampling and reconstruction of the head-related transfer function in acoustics.

My postdoctoral work continues on from the work on applying spherical signal processing techniques to diffusion magnetic resonance imaging carried out during my PhD.

Researcher's projects

I am currently working on spherical signal processing applied to diffusion MRI as part of the DP170101897:

The Project aims to develop optimal, efficient and robust signal processing methods for diffusion magnetic resonance imaging (dMRI) with significantly reduced scan times, consistent with what patients can actually tolerate. The novel processing methods will exploit spherical geometries, which encode information about white matter fibres in the brain, for collection and reconstruction of images. The Project will advance engineering knowledge in a multi-disciplinary young field and will crucially accelerate the data collection/processing pipeline while maintaining high fidelity reconstruction. Non-invasive and inexpensive early detection of many neurological disorders such as dementia are expected to become feasible via Team's findings.

Return to top

Updated:  08 December 2019 / Responsible Officer:  Director (Research Services Division) / Page Contact:  Researchers