Dr Yun Sing Koh is  a professor at the School of Computer Science, The University of Auckland. She is the Co-Director of the Advanced Machine Learning and Data Analytics Research (MARS) Lab and the Director of the Centre of Machine Learning for Social Good

Her research is in the area of machine learning and artificial intelligence. Within the broad research realm, she is currently focusing on several strands of research: data stream mining, continual learning and adaptation, transfer learning and anomaly detection. She has published more than 100 research papers in this field at top venues.

She has been active in the research community including serving as the General Chair at the IEEE International Conference on Data Mining 2021, Australasian Data Science and Machine Learning 2023, Workshop Chair at the ECML 2021, Program Co-Chair of the Australasian Data Mining Conference 2018 and as the Workshop Chair for the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining.

Research projects:  If you are interested in pursing a PhD, MSc or Honours please contact me for further information. 

Contact details: ykoh@cs.auckland.ac.nz

Google Scholar: https://scholar.google.com/citations?user=0L38IrAAAAAJ&hl=en

MARS Research Lab: https://datascience.blogs.auckland.ac.nz/


Selected Research Projects 

Adaptive Predictive System for Life-long Learning on Data Streams. (PhD Project: Ben Halstead, Category, Environment, Fast-Start Marsden Fund) Read more

Machine Learning for Extreme Event Detection.  (PhD Project: Olivier Graffeuille, Category, Environment, MBIE TAIAO Programme) Read more 

Prediction in Evolving Data Stream Using an Adaptive System  (PhD Project: Ocean Wu, Category, Fundamental, ONR Grant) Read more 


Media 

Gibbon Lecture 2020: Learning to adapt to changes in this dynamic world.

Publications