Projects per year
Personal profile
Research interests
My research involves the development of relational machine learning methods and their application to software engineering, juris-informatics, and the automation of scientific inference through the integration of abductive and inductive reasoning. Specific interests include the application of inductive logic programming to energy-aware compiler tuning and interactive cyber-security, the use of non-monotonic action theories in requirements engineering and language acquisition, the automation of scientific method in social insect behaviour and yeast biology, and computational analysis of UK case law. I am a member of the Intelligent Systems research group and the Interactive AI centre for doctoral training.
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Collaborations and top research areas from the last five years
Projects
- 1 Finished
Research output
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Learning and Revising Dynamic Temporal Theories in the Full Discrete Event Calculus
Ray, O., 2022, p. 219-233. 15 p.Research output: Contribution to conference › Conference Paper › peer-review
1 Citation (Scopus) -
AstronomicAL: an interactive dashboard for visualisation, integration and classification of data with Active Learning
Stevens, G., Fotopoulou, S., Bremer, M. & Ray, O., 3 Sept 2021, In: Journal of Open Source Software. 6, 65, p. 3635Research output: Contribution to journal › Article (Academic Journal) › peer-review
Open AccessFile88 Downloads (Pure) -
Towards expert-guided elucidation of cyber attacks through interactive inductive logic programming
Ray, O. & Moyle, S., 10 Nov 2021, 13th International Conference on Knowledge and Systems Engineering: KSE21. Institute of Electrical and Electronics Engineers (IEEE), 7 p. (International Conference on Knowledge and Systems Engineering (KSE)).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
3 Citations (Scopus)