Projects per year
Personal profile
Biography
Geoff Webb is an Australian Laureate Fellow. A leading data scientist and AI researcher, he is the only Australian to have been Program Committee Chair of the two leading Data Mining conferences, ACM SIGKDD and IEEE ICDM. He was elevated to IEEE Fellow in 2015 and his numerous awards include the inaugural Eureka Prize for Excellence in Data Science (2017).
He was editor in chief of Data Mining and Knowledge Discovery from 2005 to 2014. He is a Technical Advisor to BigML Inc, who have incorporated his best of class association discovery software, Magnum Opus, as a core component of their cloud-based Machine Learning service. He developed many of the key mechanisms of support-confidence association discovery in the 1980s. His OPUS search algorithm remains the state-of-the-art in rule search. He pioneered multiple research areas as diverse as black-box user modelling, interactive data analytics and statistically-sound pattern discovery. He has developed many useful machine learning algorithms that are widely deployed.
Research interests
Professor Webb conducts research in both fundamnetal and translational artificial intelligence, machine learning and data science.
His fundamental research encompasses:
- Scalable learning of time series classifiers. more
- Learning From Non-Stationary Distributions. more
- Association Discovery. more
- Scalable learning of Graphical Models. more
- Earth Observation Analytics. more
- Combining Generative and Discriminative Learning. more
- Bayesian Machine Learning. more
- Ensemble Machine Learning. more
- Interactive Machine Learning. more
- Decision tree grafting. more
- Rule learning. more
- Discretization. more
- Feature construction, constructive induction and attribute discovery. more
- Student and User Modeling. more
His fundamental research encompasses:
Supervision interests
Opportunities exists for outstanding Computer Science research candidates to undertake a PhD in the areas of Machine Learning and Data Mining under my supervision. For an indication of potential areas of research see my Research Programs. For application procedures see here.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, Doctor of Philosophy, La Trobe University
Award Date: 1 Nov 1987
Computer Science, Bachelor of Arts (Honours), La Trobe University
Award Date: 1 May 1982
Research area keywords
- Bioinformatics
- Computational Biology
- Data Analytics
- Data Science
- Data mining
- Knowledge Acquisition
- Machine Learning
Collaborations and top research areas from the last five years
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Temporal analytics: Temporal analytics for a complex, dynamic and ever-changing world
Webb, G. (Primary Chief Investigator (PCI))
Monash University – Internal University Contribution
6/10/25 → 5/10/30
Project: Research
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Efficient and Effective Modelling of Protein Structure with Dynamics
Webb, G. (Primary Chief Investigator (PCI)), May, L. (Chief Investigator (CI)) & Whisstock, J. (Chief Investigator (CI))
1/07/25 → 30/06/26
Project: Research
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TMLGenAI: Trustworthy Generative AI: Towards Safe and Aligned Foundation Models
Phung, D. (Primary Chief Investigator (PCI)), Vu, T. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)), Le, T. (Chief Investigator (CI)), Haffari, R. (Chief Investigator (CI)), Webb, G. (Chief Investigator (CI)), Nicholson, A. (Chief Investigator (CI)), Ke, Q. (Chief Investigator (CI)), Cai, J. (Chief Investigator (CI)) & Bui, T. (Chief Investigator (CI))
11/06/24 → 10/07/26
Project: Research
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Efficient and effective methods: Efficient and effective methods for classifying massive time series data
Webb, G. (Primary Chief Investigator (PCI)), Schmidt, D. (Chief Investigator (CI)) & Keogh, E. (Partner Investigator (PI))
11/03/24 → 10/03/27
Project: Research
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Positive allosteric modulation of anti-convulsant G protein-coupled receptor signalling to treat drug-resistant epilepsy
May, L. (Primary Chief Investigator (PCI)), Webb, G. (Chief Investigator (CI)), Carlsson, J. (Chief Investigator (CI)), Baltos, J.-A. (Chief Investigator (CI)), TN Nguyen, A. (Chief Investigator (CI)), Christopoulos, A. (Associate Investigator (AI)), Miao, Y. (Associate Investigator (AI)), O'Brien, T. (Associate Investigator (AI)), Rollo, B. (Associate Investigator (AI)), Casillas-Espinosa, P. (Associate Investigator (AI)), Gregory, K. (Associate Investigator (AI)), Scammells, P. (Associate Investigator (AI)) & Nguyen, T. (Associate Investigator (AI))
1/01/22 → 31/12/25
Project: Research
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A Radiograph Dataset for the Classification, Localization, and Segmentation of Primary Bone Tumors
Yao, S., Huang, Y., Wang, X., Zhang, Y., Paixao, I. C., Wang, Z., Chai, C. L., Wang, H., Lu, D., Webb, G. I., Li, S., Guo, Y., Chen, Q. & Song, J., 16 Jan 2025, In: Scientific Data. 12, 1, 10 p., 88.Research output: Contribution to journal › Article › Research › peer-review
Open Access4 Citations (Scopus) -
CARLA: Self-supervised contrastive representation learning for time series anomaly detection
Darban, Z. Z., Webb, G. I., Pan, S., Aggarwal, C. C. & Salehi, M., Jan 2025, In: Pattern Recognition. 157, 13 p., 110874.Research output: Contribution to journal › Article › Research › peer-review
Open AccessFile43 Citations (Scopus) -
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Darban, Z. Z., Yang, Y., Webb, G. I., Aggarwal, C. C., Wen, Q., Pan, S. & Salehi, M., Aug 2025, In: IEEE Transactions on Knowledge and Data Engineering. 37, 8, p. 4485-4496 12 p.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Dual-View Learning from Crowds
Zhang, H., Jiang, L., Zhang, W. & Webb, G. I., 20 Feb 2025, In: ACM Transactions on Knowledge Discovery from Data. 19, 3, 21 p., 61.Research output: Contribution to journal › Article › Research › peer-review
2 Citations (Scopus) -
Highly Scalable Time Series Classification for Very Large Datasets
Dempster, A., Tan, C. W., Miller, L., Foumani, N. M., Schmidt, D. F. & Webb, G. I., 2025, Advanced Analytics and Learning on Temporal Data - 9th ECML PKDD Workshop, AALTD 2024 Vilnius, Lithuania, September 9–13, 2024 Revised Selected Papers. Lemaire, V., Ifrim, G., Bagnall, A., Guyet, T., Malinowski, S., Schäfer, P. & Tavenard, R. (eds.). Cham Switzerland: Springer, p. 80-95 16 p. (Lecture Notes in Computer Science; vol. 15433).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Prizes
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Australasian Artificial Intelligence Distinguished Research Contributions Award
Webb, G. (Recipient), 2016
Prize: Prize (including medals and awards)
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Eureka Prize for Excellence in Data Science
Webb, G. (Recipient), 2017
Prize: Prize (including medals and awards)
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ICDM-2022 Best Paper Runner-up Award winner
Manapragada, C. (Recipient), Salehi, M. (Recipient) & Webb, G. (Recipient), 2022
Prize: Prize (including medals and awards)
Activities
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Member - Earth Observation Australia
Webb, G. (Member)
2018 → …Activity: External Academic Engagement › Professional association or peak discipline body
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Member - Faculty Research Committee - Faculty of Information Technology, Monash University
Webb, G. (Member)
2016Activity: External Academic Engagement › Committees and working groups
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Fellow - Institute of Electrical and Electronics Engineers (IEEE)
Webb, G. (Fellow)
2016Activity: External Academic Engagement › Professional association or peak discipline body
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Member - American Association for Artificial Intelligence
Webb, G. (Member)
2016Activity: External Academic Engagement › Professional association or peak discipline body
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Member - IEEE Computer Society
Webb, G. (Member)
2016Activity: External Academic Engagement › Professional association or peak discipline body
Press/Media
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New tool to speed up translation of genome sequences
Song, J., Daly, R. J., Webb, G. I. B. & Smith, A. I.
8/03/18
1 Media contribution
Press/Media: Research