ProfessorIrena Koprinska

Machine Learning, Data Mining, Neural Networks

I am motivated by the many practical applications of machine learning, and their potential to benefit society. I develop algorithms that extract patterns from data and build models to help humans make better decisions. My work is multidisciplinary, involving experts from different areas. I am interested in both algorithms and applications, especially applications in education, health and energy.

For example, I have worked on machine learning for: (i) education - for understanding student behaviour and how it changes over time and for early prediction of at-risk students for timely intervention; (ii) health - for predicting medical conditions (sleep apnea, insomnia) based on health data recordings, for understanding immune response to diseases based on cytometry data, for predicting hospital admissions and length of stay; (III) enery - for predicting renewable energy generation (e.g. solar) and electricity demand from multiple time series data sources.

"I'm honoured to have worked with many wonderful students over the years - Honours, Dalyell/Talented Student/Special Projects, MPhil, PhD, visiting students - from Germany, Italy, Slovakia, France, Netherlands etc. This has been an inspirational and very rewarding experience."