Forecasting and Decision Making Research Group

Our group, Forecasting Insights and Decision Making, focuses on advancing the field of forecasting and decision-making through cutting-edge research and practical applications. We specialise in developing innovative machine learning models and decision optimisation techniques to solve complex problems across various domains, including business, energy, and supply chain. We aim to bridge the gap between theoretical research and real-world applications, providing valuable insights and solutions that drive effective decision-making processes. 

Current Postdoctoral Research Fellows

• Rui-Ray Zhang, PhD in Mathematics from Monash University, Research Fellow in Data Science, Queensland University of Technology, Australia.

• Maryam Hashemi, PhD in Computer Science from UNSW Sydney,  Research Fellow in Data Science, Queensland University of Technology, Australia.

Current Research Students

• Arwen Nugteren, PhD in Statistics,  Queensland University of Technology, Australia, Thesis: Probabilistic Forecasting of Renewable Energies. 

• Yingjie Zhao, PhD in Data Science,  Queensland University of Technology, Australia, Thesis: Federated Hierarchical Forecasting.

• Mitchell Keegan, PhD in Mathematical Sciences, Queensland University of Technology, Australia. Thesis: Predict and optimise with machine learning

• Ethan Waters, PhD in Mathematical Sciences, Queensland University of Technology, Australia. Thesis: Advances in statistical modelling and machine learning with applications in Queensland primary industries.

• Rachael Hazel, Master's in Data Analytics, Queensland University of Technology, Australia, Thesis: Hierarchical Forecasting in Healthcare. 

• Yiwen Wang, Master of Philosophy in Data Science, The University of Queensland, Australia. Thesis: Decision-informed forecasting

Graduates

• Jay Parfitt, Honours in Mathematics, The University of Queensland, Australia. Thesis: Probabilistic forecasting of hierarchical time series: cases in renewable energies 

• Caitlin McHugh, Masters of Statistics, The University of Queensland, Australia. Thesis: Cross-temporal forecasting with machine learning

• Stefan Kwok Leung Louise, Masters of Statistics, The University of Queensland, Australia. Thesis: Forecasting hierarchical time series and inventory across levels

• Matt Bowman, Masters of Data Science, The University of Queensland, Australia. Thesis: Predictive maintenance with machine learning

• Nikolaos Chatzis (co-supervisor), MSc in Data Science, The University of Queensland, Australia.

• Lucas English, Summer Project in Data Science, The University of Queensland, Australia, Project: Wind Power Forecasting

• Matthew Colwell, The University of Queensland, Australia, Thesis: Predict and Optimise in Waste Water Treatment

• Muhammad Hamza, Monash University, Australia, Thesis: Bayesian Network for Promotional Sales Forecasting

• Joshua Mills (co-supervisor), Monash University, Australia

• Aijia Yang, Monash University, Australia, Thesis: Hierarchical forecasting

Past Visiting Students

• Arkadiusz Lipiecki, Wrocław University of Science and Technology, Poland. 

• Mehmet Sagoglu, Middle East Technical University, Turkey

• Niluka Pererra, Colombo University, Sri Lanka

Academic Visitors

• Prof. Rafal Weron, Wrocław University of Science and Technology, Poland

• Prof. Katarzyna Weron, Wrocław University of Science and Technology, Poland

• Prof. Bahman Rostami Tabar, Cardiff University, UK.

• A Prof. Sean Asian, LaTrobe University, Australia.