Rate My Professor Irena Koprinska

Koprinska has built her career at the University of Sydney, progressing through roles in the former School of Information Technologies, including Associate Professor and Associate Dean for Learning and Teaching. She previously held affiliations with the University of Otago. Her publications have accumulated over 7,688 citations according to Google Scholar. Key works include "RECON: a reciprocal recommender for online dating" (2010), "Statistical and Machine Learning Methods for Electricity Demand Forecasting" (2012), "Neural Network Ensemble Based Approach for 2D-Interval Electricity Price Forecasting" (2016), "Students at Risk: Detection and Remediation" (2020), "Machine Learning Methods for Computing Brain State Sleep Trajectories and Insomnia Detection" (2025), and "The Sydney Triage to Admission Risk Tool With Artificial Intelligence (START-AI): Prediction of Inpatient Admission From Emergency Departments Using Ensemble Machine Learning" (2026). Several of her PhD students have received awards, including the Google PhD Fellowship. She contributes to the field through leadership roles such as co-chair of the SoGood workshop at ECMLPKDD 2021 and Organizing Committee member for Educational Data Mining 2024. Koprinska also coordinates teaching in units like COMP5318 Machine Learning and Data Mining.