Ph.D.

  • Operation of relief efforts during flood using optimization approaches
  • Optimal distribution of ambulance stations for large crowded events using optimization approaches
  • Big data analytics using optimization approaches
  • Improving process performance through fault diagnosis in multivariate process monitoring for high dimensional data
  • Understanding social difficulty and clinical conditions using machine learning
  • Algorithms and tools for multi-objective mixed integer programming
  • Prediction and analysis of mathematical components of secondary school students using machine learning
  • Optimising transfer learning domain generalization
  • Clusterwise linear regression: methods and applications 
  • Bayesian clustering
  • Machine learning based influence maximization
  • Constrained DC optimization with application to clustering
  • Difference of convex optimization

Honours

  • Solving multi-objective integer programming problems
  • Cyberbullying Classification Utilising Network Science Measures
  • Machine learning approaches for cyberbullying
  • Prediction of rainfall using clusterwise linear regression

Minor thesis

  • DC programming for dimension reduction via distance covariance
  • Multi-task classification of Chemical text

Industry projects

  • Machine learning for creating e-learning content, Avallain AG
  • Comparing Wikipedia articles across languages to highlight missing content, Grey-box
  • Ads Manager Analytics, Link Clicks
  • Trolley Configuration, Hotel Linen Services
  • ANZ Road Crash
  • Pathscape app
  • Cloud-based Generative AI
  • Inventory Wizardry: Smart Management Solutions Project (MVT)