Current and Previous Supervision

Current PhD Students

1. Yiwen Wang (2024) Replay-Based Continual Learning Driven by Gradient Optimization (co-supervised  Dr Diana-Bernavidas-Prado)

2. Thomas Bailie (2024) Harnessing the Representation Power of Graphical Neural Networks: Advanced Techniques for Climatological Applications (co-supervisor Dr Varvara Vetrova, Dr Karthik Mukkavilli)

3. Yinuo Xue (2024) Enhancing User Resilience against Phishing through Deep Learning Algorithms and Natural Language Processing Techniques (joint supervison Prof Giovanni Russello)

4. Ricky Qiao (2023) Multi-modality for Longitudinal Study (co-supervised with Prof Chris Cunningham and Dr Caroline Walker)

5. Jack Julian (2023) Continual Learning for Anomaly Detection (co-supervised with Prof Albert Bifet)

6. Bowen Chen (2022) Self-supervised Learning for Climate Modeling (co-supervised with Prof Gill Dobbie) 

7.  Di Zhao (2022)  - Deep Online Transfer Learning for Data Streams (joint-supervised with Prof Gill Dobbie)

8. Callum Cory (2021) Machine Learning for Brain Connectivity ( joint supervised with Dr Miao Qiao, Dr Diana-Bernavidas-Prado, A/Prof Kelly Ke)

9. Olivier Graffeuille (2020) Machine Learning for Extreme Event Detection (joint-supervised with Dr Joerg Wicker and Dr Moritz Lehman) - under examination

10. Wernsen Wong (2020) - Deep Learning for Data Streams (joint-supervised with Prof Gill Dobbie)

Completed Students

PhD Students

1. Aaron Keesing (2021 - 2023) - Emotion Recognition from Speech (co-supervised with Prof Michael Witbrock) 

2. Ocean Wu (2019-2023) - Transfer Learning in Predictive Systems for Data Streams (joint-supervised with Prof Gill Dobbie)

3. Ben Halstead (2019-2022) - Adaptive Predictive System for life long learning. (co-supervised with Dr Pat Riddle, Prof Mykola Pechenizkiy, Prof Albert Bifet)  

4. Shuxiang Zhang (2018-2023) - Semi-supervised Concept Drift Detection (co-supervised with Prof Gill Dobbie) 

5. Alex Peng (2021) - Improving the Generalisation of Neural Networks with Unlabelled Data  Supervisor Yun Sing Koh & Pat Riddle

6. Ian Wong (2021) - Efficient Relational Feature Engineering​ Supervisor Gill Dobbie & Yun Sing Koh 

7. Robert Anderson (2020) - Using meta-learning to improve classification in data streams Supervisor Yun Sing Koh & Gill Dobbie (University of Auckland Scholarship)

8. Diana Benavides Prado    (2019) -A Framework for Long-Term Learning Systems Supervisor Pat Riddle & Yun Sing Koh

9. Monica Bian - (2019)  Heterogeneous Network Mining and Analysis- Supervisor Yun Sing Koh & Gill Dobbie  (Callaghan Scholarship)

10. Sidney Tsang  Fraud Detection in Online Auctions (2015) - Supervisor Gill Dobbie & Yun Sing Koh  (University of Auckland Scholarship)

11. Mohammad Abdullatif  Towards Unsupervised Citation Classification (2015) - Supervisor Gill Dobbie & Yun Sing Koh 

12. David T.J. Huang  Change Mining and Analysis for Data Streams (2016) - Supervisor Yun Sing Koh & Gill Dobbie 

Masters Research Students

1. Sameer Khanal CLASS-INCREMENTAL LEARNING USING ENHANCED REPLAY AND AUXILIARY NETWORK 2022  - Yun Sing Koh and Diana-Bernavidas-Prado

2. Bowen Chen - Difficulty and diversity of learning Yun Sing Koh/ Ben Halstead 2022

3. Andrew Chester - Balancing Utility and Fairness against Privacy for Sensitive Data (Precision Driven Health Scholarship) 2021 - Yun Sing Koh & Joerg Wicker

4. Di Zhao - Feature-Based Drift Detection 2021 - Yun Sing Koh & Jiamou Liu

5. Hamish Huggard* - Concept Drift Detection Deep Learning Triage (Precision Driven Health Scholarship)  Supervisor - Yun Sing Koh & Gill Dobbie 

6. Wernsen Wong - Pelican - A Phishing Detection Technique 2019 - Yun Sing Koh & Gill Dobbie 

7. Jiazhen Chen  Vehicle emission prediction using remote sensing data and machine learning techniques 2018 -Gill Dobbie  & Yun Sing Koh

8. Kylie Chen* Proactive Drift Detection in Data Stream 2016   - Yun Sing Koh & Pat Riddle 

9. Eric Lim  Unsupervised Density- and Anomaly-based Intrusion Detector in Networks 2016 - Yun Sing Koh & Gill Dobbie 

10. Monica (Ran Ran) Bian* Frequent Graph Mining in Data Streams 2015 - Yun Sing Koh & Gill Dobbie 

11. Minmin Zhang* Change Detection in Pattern Stream Mining 2014 - Gill Dobbie  & Yun Sing Koh

12. Thomas Lynch  Detection of Regular Patterns in Data Streams 2013 - Gill Dobbie  & Yun Sing Koh

Masters Professional Students

1. Jovi Luo  Association of Socioeconomic Status with Childhood Depression in NewZealand from a Perspective of Machine Learning: Feature Selection and Concept Drift Detection  2022

2. Ricky Qiao  Association of Socioeconomic Factors with Childhood Depression from a Perspective of Machine Learning: Supervised Learning and Cluster Analysis  2022

3. Johnson Zhou Automated Tuning for Drift Detectors Yun Sing Koh / Gill Dobbie 2021

4. Yifan Zhang Detecting Initial Change Points in Data Streams 2018

5. Seoung Woon So  Text Classification using WordNet 2017

6. Manish Kukjeja* ABCD-SE: Automatic Bayesian Covariance Discovery with Stable Extrapolation 2016

7. Rong Li Shilling Detection for Recommender Systems 2016

8. Wenting Yang  Expected Drift Probability (EDP) Adapted Concept Drift Detection 2016

9. Zude Li  Phishing Detection on Twitter 2016

10. Yihuan Wang Applying Rank Correlation Statistics in Structural Drift Detection for Transactional Data Stream 2016

11. Michael Jun Xing  Web bots detection for Massive Multi Role Playing Game. 2016

12. Robert Anderson* StreamXM - An adaptive clustering solution for evolving data streams 2015

BSc(Honours)

1. Ryan Tan  U‐Net for Lung Cancer Detection Yun Sing Koh 2021

2. Jasmine Chen Concept Drift Detection for Water Sensor Quality Detection Yun Sing Koh / Gill Dobbie 2021

3. Di Zhou Fake News Detection on Social Media 2019

4. Alex Duthie Stock Market Prediction using Textual Analysis of Financial News 2019

5. Haoyuan Zhao Pretraining for Deep Learning 2019

6. Jingrui Zhang Hoeffding based Concept Drift Detector 2019

7. Feiyang Tang Adaptive Self-Sufficient ItemsetMiner for Transactional Data Streams 2019

8. Benjamin Halstead Predicting cryptocurrency price movements with social media sentiment 2018

9. Flynn Van Os Adaptive Semi-Supervised Data Stream Mining 2018

10. Hamish Huggard Predicting Air Quality Metrics from Sensor Networks 2018

11. Christiaan Swanepoel Parametric learning on data streams by density estimation 2017

12. Moana Stirling Concept Drift Detector Selection for Hoeffding Adaptive Trees 2017

13. Yuxuan Peng mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets 2016

14. Ruolin Jia Change Detection using Volatility 2016

15. Arabella Anderson Multilabel Classification with Error Correcting Code in Data Streams 2016

16. Seyeong Jeong Unsupervised Phishing Detection on Twitter 2015

17. Michael Glenny Cluster Quality in Semi-Supervised Clustering on Data Streams 2014

18. Anthony Wood Automated Weight Generation for Weighted Association Rule Mining 2013

19. Xuan Jiang A Novel Approach to Link Generation 2010

20. David T.J. Huang Automated Keyword Detection in Wikipedia 2011