Yun Sing Koh
Yun Sing Koh | |
|---|---|
| Born | 1978 |
| Academic background | |
| Alma mater | University of Otago, Universiti Malaya |
| Thesis |
|
| Academic work | |
| Institutions | University of Auckland |
Yun Sing Koh (born 1978) is a New Zealand computer science academic, and is a full professor at the University of Auckland, specialising in machine learning and artificial intelligence. She is a co-director of the Centre of Machine Learning for Social Good, and the Advanced Machine Learning and Data Analytics Research (MARS) Lab at Auckland.
Academic career
Koh earned a Bachelor of Science with Honours and a Master of Software Engineering at the University of Malaya.[1] She then completed a PhD titled Generating sporadic association rules at the University of Otago in 2007.[2] Koh joined the faculty of the University of Auckland in 2010, rising to full professor.[1][3] As of 2024, she is director of the Centre of Machine Learning for Social Good at Auckland, alongside Gillian Dobbie and Daniel Wilson, and is director of the Master of AI course at the university.[4][5][6] Koh also co-directs the Advanced Machine Learning and Data Analytics Research (MARS) Lab.[7]
Koh's research covers machine learning and artificial intelligence. She is especially interested in designing machine learning algorithms for data streams, and has led research using AI systems to identify individual stoats for pest population research.[8][3] In 2018 she was awarded a Marsden grant for a research project "An Adaptive Predictive System for Life-long Learning on Data Streams", and has been part of three MBIE projects.[9][1] In 2025 the stoat identification project Koh co-leads with Daniel Wilson was awarded $1 million per annum by the MBIE Smart Ideas fund.[10]
Koh was a finalist in the AI in Climate section of the Women in AI Australia and New Zealand Awards in 2022.[11] She was a 2023 Fellow at the United States National Science Foundation-funded Convergence Research (CORE) Institute.[12] Koh has chaired a number of sessions at international conferences on data mining.[12]
In March 2026 it was announced that Koh would be a member of the New Zealand Human Rights Commission's Expert Advisory Group on Artificial Intelligence, Emerging Digital Technologies and Human Rights.[13]
Selected works
- Philippe Fournier-Viger; Jerry Chun-Wei Lin; Rage Uday Kiran; Yun Sing Koh; Rincy Thomas (2017). "A Survey of Sequential Pattern Mining". Data Science and Pattern Recognition. 1 (1): 54–77. Wikidata Q138719481.
- Yun Sing Koh; Nathan Rountree; Richard O’Keefe (1 April 2006). "Finding Non-Coincidental Sporadic Rules Using Apriori-Inverse". International Journal of Data Warehousing and Mining (in Ndonga). 2 (2): 38–54. doi:10.4018/JDWM.2006040102. ISSN 1548-3924. Wikidata Q125185222.
- Russel Pears; Sripirakas Sakthithasan; Yun Sing Koh (11 January 2014). "Detecting concept change in dynamic data streams". Machine Learning. 97 (3): 259–293. doi:10.1007/S10994-013-5433-9. ISSN 1573-0565. Zbl 1319.68186. Wikidata Q125185156.
- David Tse Jung Huang; Yun Sing Koh; Gillian Dobbie; Russel Pears (December 2014), Detecting Volatility Shift in Data Streams, Institute of Electrical and Electronics Engineers, doi:10.1109/ICDM.2014.50, Wikidata Q125185151
- Sidney Tsang; Yun Sing Koh; Gillian Dobbie (2011). "RP-Tree: Rare Pattern Tree Mining". Lecture Notes in Computer Science: 277–288. doi:10.1007/978-3-642-23544-3_21. ISSN 0302-9743. Wikidata Q125185206.
- Yun Sing Koh; Sri Devi Ravana (24 May 2016). "Unsupervised Rare Pattern Mining". ACM Transactions on Knowledge Discovery from Data. 10 (4): 1–29. doi:10.1145/2898359. ISSN 1556-4681. Wikidata Q125185136.
- Jack Julian; Yun Sing Koh; Albert Bifet (1 October 2025), Building adaptive knowledge bases for evolving continual learning models (PDF), vol. 1, doi:10.1038/S44387-025-00028-4, Wikidata Q138719496
References
- ^ a b c "Academic profile: Professor Yun Sing Koh". University of Auckland. Retrieved 31 July 2024.
- ^ Koh, Yun Sing (2007). Generating sporadic association rules (PhD thesis). University of Otago.
- ^ a b "Doing good with AI". The University of Auckland. 1 July 2024. Retrieved 18 August 2024.
- ^ "Centre of Machine Learning for Social Good". The University of Auckland. Retrieved 31 July 2024.
- ^ "Where could AI lead us?". The University of Auckland. 24 May 2024. Retrieved 18 August 2024.
- ^ Shannon Johnstone (25 November 2024). "Artificial intelligence degrees in demand at New Zealand universities". The New Zealand Herald. Retrieved 19 March 2026.
- ^ "Default Category". MARS LAB. Retrieved 18 August 2024.
- ^ "Take 10 with... Yun Sing Koh". The University of Auckland. Retrieved 31 July 2024.
- ^ "Innovative University research enhanced with Marsden Fund awards". The University of Auckland. 8 November 2018. Retrieved 18 August 2024.
- ^ "University of Auckland Smart Ideas funded projects | Ministry of Business, Innovation & Employment". www.mbie.govt.nz. Retrieved 19 March 2026.
- ^ "Women in AI Awards 2022: The transformative nature of AI". Digital Nation. Retrieved 18 August 2024.
- ^ a b "DSSBAA 2022: Data Science for Social and Behavioral Analytics (program)". Data Science for Social and Behavioral Analytics. Retrieved 18 August 2024.
- ^ "Commission launches EAG on AI, Emerging Digital Technologies and Human Rights". tikatangata.org.nz. Retrieved 19 March 2026.
External links
- Continual Learning for Adaptive Predictive Systems - Yun Sing Koh, presentation at the 2022 Artificial Intelligence Researchers Association Conference, via YouTube
- Leading in the age of AI by leaving a legacy, Thousand Voices podcast episode interviewing Yun Sing Koh, 14 March 2022.