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. Priscila Grecov. RNNs for Causal Analysis
    Started 2020. Co-direction with Klaus Ackermann.
  2. Abishek Sriramulu. Graph Neural Networks for Time series forecasting.
    Started 2020. Co-direction with Nicolas Fourrier, Pablo Montero-Manso.
  3. Alexey Chernikow. Feature Generation methods for time series forecasting.
    Started 2019. Co-direction with Pablo Montero-Manso.
  4. Jahan Penny-Dimri. Machine Learning Algorithms for Predicting and Risk Profiling in Cardiac Surgery.
    Started 2019. Co-direction with Julian Smith.
  5. Md Mohaimenuzzaman. Deep Learning for the internet of things.
    Started 2019. Co-direction with Bernd Meyer.
  6. Rakshitha Godahewa. Ensembling for Forecasting using recurrent neural networks.
    Started 2019. Co-direction with Geoff Webb.
  7. Dilini Rajapaksha. Locally interpretable models in a medical context.
    Started 2018. Co-direction with Wray Buntine.
  8. Hansika Hewamalage. Forecasting using recurrent neural networks.
    Started 2018. Co-direction with Wray Buntine, Klaus Ackermann.

Former research fellows

  1. Kasun Bandara.
    Now a postdoctoral researcher at University of Melbourne.
  2. Mahdi Abolghasemi.

Former PhD students

  1. Kasun Bandara. Forecasting sets of similar time series using recurrent neural networks.
    Graduated 2020. Co-direction with Wray Buntine, Dan Lubman. Now a postdoctoral researcher at University of Melbourne.
  2. Mabel Gonzalez Castellanos. Semi-supervised learning for time series classification.
    Graduated 2016. Co-direction with I. Triguero and J.M. Benítez. Now a Data Scientist at HID Global, Stockholm, Sweden.
  3. Lala Septem Riza. Novel software solutions for Fuzzy Set and Rough Set theory.
    Graduated 2015. Co-direction with F. Herrera and J.M. Benítez. Now an academic at Universitas Pendidikan Indonesia.

            Research Team