Research team
In the following I list current and past PhD students and research fellows.
Current research fellows
- Quang Bui.
Current PhD students
- Sherilyn Long. Bayesian Methods for Hierarchical Time Series Forecasting
Started 2022. Co-direction with Daniel Schmidt and Levin Kuhlmann. - Priscila Grecov. RNNs for Causal Analysis
Started 2020. Co-direction with Klaus Ackermann. - Abishek Sriramulu. Graph Neural Networks for Time series forecasting.
Started 2020. Co-direction with Nicolas Fourrier, Pablo Montero-Manso.
Former research fellows
- Rakshitha Godahewa.
Went on to be a forecasting professional at the start-up Jahan.ai. - Mahdi Abolghasemi.
Went on to be a Lecturer in Business Analytics at University of Queensland. - Kasun Bandara.
Went on to be a postdoctoral researcher at University of Melbourne, then a forecasting professional at Energy Australia.
Former PhD students
- Alexey Chernikow. Feature Generation methods for time series forecasting.
Graduated 2023. Co-direction with Pablo Montero-Manso and Chang-Wei Tan. - Jahan Penny-Dimri. Machine Learning Algorithms for Predicting and Risk Profiling in Cardiac Surgery.
Graduated 2023. Co-direction with Julian Smith. - Md Mohaimenuzzaman. Deep Learning for the internet of things.
Graduated 2023. Co-direction with Bernd Meyer. - Rakshitha Godahewa. Ensembling for Forecasting using recurrent neural networks.
Graduated 2023. Co-direction with Geoff Webb. - 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. - 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. - 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. - 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. - 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.