Dr. Haydar Demirhan is a Senior Lecturer of Analytics at the School of Science at RMIT. His expertise includes Bayesian learning and its applications to AI, time series analysis and forecasting, fuzzy inference, and environmental modelling. His research has led to the development of highly accurate models with multidisciplinary impact. He has developed Bayesian and fuzzy machine learning and deep learning models based on satellite data for the prediction of the likelihood of a bushfire given forest health, crop yield in Australia under the impact of climate change, the potential reduction in temperature anomalies for installed solar capacity and solar and wind energy potential for renewable energy farm investments. Policy bodies and renowned research organisations have utilised his research outputs in six policy documents and a patent. He has attracted over A$0.7M in funding for research collaborations with various industries. He serves the scientific community as an Associate Editor of Springer Nature’s top-tier multidisciplinary journal, Scientific Reports, and Elsevier's top-tier informatics journal, Information Processing in Agriculture.
At RMIT University,
Research interests:
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