Research Students

Current

  • Zelong Bi, PhD, UNSW (joint supervision with A/Prof. Pierre Lafaye de Micheaux) Thesis topic: Statistical Dependence Between Random Vectors of Arbitrary Dimensions

  • Wahid Hasan, Honours, UNSW Thesis: Column Subset Selection

  • Benjamin Wilson, Masters, UNSW Thesis: Selection of Best Subset Size for Regression Models

Graduated

  • Dr Anant Mathur, PhD, UNSW (co-supervision with Dr Zdravko Botev) Thesis: Efficient Algorithms for Sparse Statistical Learning

  • Dr Teo Nguyen, PhD, MQ, 2024 (co-supervision with Prof. Benoit Liquet) Thesis: Learning Models for Satellite-based Coral Reef Mapping

  • Jiaqian Li, Masters, UNSW Thesis: Structure Pruning for Neural Networks

  • Pinzhang (Jack) Cheng, Masters, UNSW Thesis: Subset Selection Problem in Portfolio Management

  • Hanli Xu, Masters, UNSW Thesis: Leveraging Local Divergences for More Precise Shaping in Structured Variational Pruning

  • Samil Cetin, Honours, UNSW Thesis: Deep Emulators for Option Pricing under Bates/SLV with Uncertainty Quantification

  • Noah Sawyer, Masters, UNSW Thesis: KA-GNN: Kolmogorov-Arnold Graph Neural Networks for Molecular Property Prediction

  • Ben Coleman, Masters, UNSW (joint supervision with Dr. Zdravko Botev) Thesis: MM Optimization Methods

  • Senoli Gunaratne, Masters, UNSW (joint supervision with Dr. Zdravko Botev) Thesis: Numerical/Empirical Comparison of Methods for Nonparametric Density Estimation

  • Daniel Kim, Summer Project, UNSW (co-supervision with Dr Zdravko Botev) Thesis: Column Subset Selection using a Novel Frank-Wolfe Homotopy

  • Ruiqi Diao, Honours, UNSW Thesis: Frank-Wolfe Algorithm: Unlocking Efficient Best Subset Selection in Linear Regression

  • Joseph Gurr, Masters, UNSW, 2025 (co-supervision with Dr Sahani Pathiraja, Dr Joel Dabrowski (Data 61, CSIRO), and Dr Dan Pagendam (Data 61, CSIRO)) Thesis: Learning Parameter Distributions through Implicit Generative Models: A Two-Model Architecture for Uncertainty Quantification

  • Hua Yang Hu, Honours, UNSW, 2024 (co-supervision with Dr Zdravko Botev) Thesis: Improving and Developing a Python Package for COMBSS: Best Subset Selection via Continuous Optimisation

  • Seungjoo Lee (Eric), Honours, UNSW, 2024 Thesis: Model Compression in Deep Learning

  • Ava Vahedi, Masters, UNSW, 2024 (currently a PhD student at Institute of Algebra, Dresden University of Technology, Germany) Thesis: Uniform Sampling of a Perfect Graph Colouring

  • Hongyu Xu, Masters, UNSW, 2024 Thesis: Rating Players of Counter-Strike: Global Offensive Based on Plus/Minus

  • Alice Shen, Jingyi Liu, Zih-Yi Liu, and Yihan Jin, Masters Group Project, UNSW, 2024 Thesis: Change Point Detection via Best Subset Selection