Research team

In the following I list current and past PhD students and research fellows.

Current research fellows

  1. Quang Bui.

Current PhD students

  1. Sherilyn Long. Bayesian Methods for Hierarchical Time Series Forecasting
    Started 2022. Co-direction with Daniel Schmidt and Levin Kuhlmann.
  2. Priscila Grecov. RNNs for Causal Analysis
    Started 2020. Co-direction with Klaus Ackermann.
  3. Abishek Sriramulu. Graph Neural Networks for Time series forecasting.
    Started 2020. Co-direction with Nicolas Fourrier, Pablo Montero-Manso.

Former research fellows

  1. Rakshitha Godahewa.
    Went on to be a forecasting professional at the start-up Jahan.ai.
  2. Mahdi Abolghasemi.
    Went on to be a Lecturer in Business Analytics at University of Queensland.
  3. Kasun Bandara.
    Went on to be a postdoctoral researcher at University of Melbourne, then a forecasting professional at Energy Australia.

Former PhD students

  1. Alexey Chernikow. Feature Generation methods for time series forecasting.
    Graduated 2023. Co-direction with Pablo Montero-Manso and Chang-Wei Tan.
  2. Jahan Penny-Dimri. Machine Learning Algorithms for Predicting and Risk Profiling in Cardiac Surgery.
    Graduated 2023. Co-direction with Julian Smith.
  3. Md Mohaimenuzzaman. Deep Learning for the internet of things.
    Graduated 2023. Co-direction with Bernd Meyer.
  4. Rakshitha Godahewa. Ensembling for Forecasting using recurrent neural networks.
    Graduated 2023. Co-direction with Geoff Webb.
  5. Dilini Rajapaksha. Locally interpretable models in a medical context.
    Graduated 2021. Co-direction with Wray Buntine. Went on to be a postdoctoral researcher at RMIT, then a forecasting professional at Coles.
  6. Hansika Hewamalage. Forecasting using recurrent neural networks.
    Graduated 2021. Co-direction with Wray Buntine, Klaus Ackermann. Went on to be a postdoctoral researcher at RMIT, then UNSW, then a forecasting professional at Coles.
  7. Kasun Bandara. Forecasting sets of similar time series using recurrent neural networks.
    Graduated 2020. Co-direction with Wray Buntine, Dan Lubman. Went on to be a postdoctoral researcher at University of Melbourne.
  8. Mabel Gonzalez Castellanos. Semi-supervised learning for time series classification.
    Graduated 2016. Co-direction with I. Triguero and J.M. Benítez. Went on to be a Data Scientist at HID Global, Stockholm, Sweden.
  9. Lala Septem Riza. Novel software solutions for Fuzzy Set and Rough Set theory.
    Graduated 2015. Co-direction with F. Herrera and J.M. Benítez. Went on to be an academic at Universitas Pendidikan Indonesia.