Research team

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

Current research fellows

none

Current PhD students

1. Sherilyn Long. Bayesian Methods for Hierarchical Time Series Forecasting
   Started 2022. Co-direction with Daniel Schmidt and Levin Kuhlmann.
2. Xin Zhou. Multimodal time series forecasting
   Started 2022. Co-direction with Teresa Wang and Wray Buntine.
3. Igor Goldenberg. Dimensionality reduction with applications in forecasting
   Co-direction with Geoff Webb.

Former research fellows

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

Former PhD students

1. Priscila Grecov. RNNs for Causal Analysis
   Graduated 2024. Co-direction with Klaus Ackermann. Went back to a position in the Brazilian government.
2. Abishek Sriramulu. Graph Neural Networks for Time series forecasting.
   Graduated 2024. Co-direction with Nicolas Fourrier, Pablo Montero-Manso. Went on to found the company tymestack.com, with a valuation of AUD$3m.
3. Alexey Chernikow. Feature Generation methods for time series forecasting.
   Graduated 2023. Co-direction with Pablo Montero-Manso and Chang-Wei Tan.
4. Jahan Penny-Dimri. Machine Learning Algorithms for Predicting and Risk Profiling in Cardiac Surgery.
   Graduated 2023. Co-direction with Julian Smith.
5. Md Mohaimenuzzaman. Deep Learning for the internet of things.
   Graduated 2023. Co-direction with Bernd Meyer.
6. Rakshitha Godahewa. Ensembling for Forecasting using recurrent neural networks.
   Graduated 2023. Co-direction with Geoff Webb.
7. 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.
8. 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.
9. 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.
10. 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.
11. 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.