ARC Training Centre for Transforming Maintenance through Data Science

Rohl, Andrew (Investigator 01)
Small, Michael (Investigator 02)
Hodkiewicz, Melinda (Investigator 03)
Loxton, Ryan (Investigator 04)
O'Halloran, Kay (Investigator 05)
Tan, Tele (Investigator 06)
Calo, Victor (Investigator 07)
Reynolds, Mark (Investigator 08)
Liu, Wei (Investigator 09)
While, Ronald (Investigator 10)
French, Tim (Investigator 11)
Cripps, Edward (Investigator 12)
Cardell-Oliver, Rachel (Investigator 13)
Correa, Debora (Investigator 14)

Status	Finished
Effective start/end date	1/01/19 → 31/12/25

Funding

ARC Australian Research Council : A$6,952,305.00

20 Article
8 Conference paper
1 Review article

Representation Learning in Complex Logical Query Answering on Knowledge Graphs: A Survey
Nguyen, C. D. M., French, T., Stewart, M., Hodkiewicz, M. & Liu, W., 21 Nov 2025, In: ACM Computing Surveys. 58, 5, 37 p., 112.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Link opens in a new tab Citation (Scopus)
Reservoir computing approaches to unsupervised concept drift detection in dynamical systems
Thorne, B. J., Corrêa, D. C., Zaitouny, A., Small, M. & Jüngling, T., Feb 2025, In: Chaos. 35, 2, 15 p., 023136.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Link opens in a new tab Citations (Web of Science)
Reservoir computing with the minimum description length principle
Mizzi, A., Small, M. & Walker, D. M., Apr 2025, In: Chaos. 35, 4, 12 p., 043132.
Research output: Contribution to journal › Article › peer-review

Open Access
3 Link opens in a new tab Citations (Scopus)