Available student project - Topological data analysis

Research fields

  • Topological and Structural Science
  • Theoretical Physics
PCA plot of persistent homology data from 340 leaves (Bettina Hill, Hons 2020)

Project details

One of the most fundamental descriptions of shape and structure is via topology - the mathematical description of how many connected components, independent loops and enclosed voids an object has.  Topological Data Analysis uses this fundamental viewpoint to extract signatures of shape from many different types of data, from point clouds to digital images, pairwise distance matrices, and even text documents. This information can give insight into many different problems. 
Recent work in this area from my group includes

Current and upcoming projects include 

  • Characterising the distribution of leaf shapes
  • Self-assembly of periodic surfaces in molecular dynamics simulations
  • A study of lung CT-images to determine signatures of disease progression and
  • Mathematical results explaining how persistent homology changes with decreasing voxel resolution in digital images. 

Required background

Projects range from data analysis to physical modelling to mathematical derivation of results and will be tailored to suit interested students with physics or mathematics background. 

Project suitability

This research project can be tailored to suit students of the following type(s)
  • Honours project
  • Phd or Masters

Contact supervisor

Robins, Vanessa profile

Updated:  18 September 2021/ Responsible Officer:  Director, RSPhys/ Page Contact:  Physics Webmaster