Thomas Li

LecturerHeyang (Thomas) Li

Jack Erskine 720
Internal Phone: 93052

Research Interests

Thomas recently started as a full time Lecturer in Statistics and Data Science at University of Canterbury (UC), School of Mathematics and Statistics. His current research areas involve image processing and classification, phylogenetic trees, classification trees, and deep learning applications.

Thomas completed his PhD research at The Australian National University, in the Department of Applied Mathematics, he worked on image processing algorithms for Micro Computed Tomography. The outcome of his PhD research improved the signal to noise properties.

He has published papers in highly ranked international peer reviewed journals, presentations at international conferences, and two US patent publications for which he was one of the inventors.

Additionally, Thomas has a range of research network in Australia and New Zealand having briefly worked at Monash University, the Australian National University, CSIRO, and start-up company Illuminate Imaging for optimisation and image processing algorithms.

Recent Publications

  • Li HT., Schaff F., Croton L., Morgan KS. and Kitchen MJ. (2020) Quantitative material decomposition using linear iterative near-field phase retrieval (LIPR) dual-energy X-ray imaging.. Phys Med Biol
  • Herbst L., Li H. and Steel M. (2019) Quantifying the accuracy of ancestral state prediction in a phylogenetic tree under maximum parsimony. Journal of Mathematical Biology 78(6): 1953-1979.
  • Kingston A., Latham S., Sheppard A., Myers G., Recur B., Li HT. and Varslot T. (2019) Acquisition and processing of data in a tomographic imaging apparatus.Patent No. US 10254419 B2.
  • Li HT., Schaff F., Croton L., Morgan K. and Kitchen M.. (2019) Material Splitting by Near-Field Dual-Energy X-ray Phase Retrieval. In
  • MAYO S., BOWDEN J., Li HT., PAGANIN D., Pavlov K., MAKSIMENKO A., Kennedy B., KITCHEN M. and STEVENSON A.. (2019) Preliminary results from speckle-tracking studies at IMBL. In.