Overview
Availability
- Dr Gayan Kulatilleke is:
- Available for supervision
Qualifications
- Bachelor (Honours) of Engineering - Computer, University of Moratuwa
- Masters (Extended) of Information Technology (Network Engineering), University of Moratuwa
- Masters (Extended) of Knowledge Representation and Machine Learning, Queen Mary University of London
- Doctor of Philosophy of Knowledge Representation and Machine Learning, The University of Queensland
- Member, Chartered Institute of Management Accountants, Chartered Institute of Management Accountants
Works
Search Professor Gayan Kulatilleke’s works on UQ eSpace
2026
Journal Article
Deep sequence learning models for hotel room air conditioner runtime estimation via ambient sensing
Serati, Reza, Kulatilleke, Gayan, Layeghy, Siamak, Ariai, Farid, Dolnicar, Sara and Portmann, Marius (2026). Deep sequence learning models for hotel room air conditioner runtime estimation via ambient sensing. Energy and Buildings, 370 118118, 1-13. doi: 10.1016/j.enbuild.2026.118118
2026
Journal Article
Time matters: temporal NetFlow features for ML-based Network Intrusion Detection
Luay, Majed, Layeghy, Siamak, Noorbin, Niloufar, Sarhan, Mohanad, Kulatilleke, Gayan, Moustafa, Nour and Portmann, Marius (2026). Time matters: temporal NetFlow features for ML-based Network Intrusion Detection. IEEE Access, 14 (99), 66899-66913. doi: 10.1109/access.2026.3688204
2025
Conference Publication
Multimodal LLMs for zero-shot intrusion detection using NetFlow visualisations
Luay, Majed, Layeghy, Siamak, Pandey, Yash, Kulatilleke, Gayan and Portmann, Marius (2025). Multimodal LLMs for zero-shot intrusion detection using NetFlow visualisations. 2025 IEEE 50th Conference on Local Computer Networks (LCN), Sydney, NSW Australia, 13-16 October 2025. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/lcn65610.2025.11146352
2025
Journal Article
SCGC : Self-supervised contrastive graph clustering
Kulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2025). SCGC : Self-supervised contrastive graph clustering. Neurocomputing, 611 128629, 128629. doi: 10.1016/j.neucom.2024.128629
2024
Conference Publication
A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification
Naranpanawa, Nathasha, Soyer, H. Peter, Mothershaw, Adam, Kulatilleke, Gayan K., Ge, Zongyuan, Betz-Stablein, Brigid and Chandra, Shekhar S. (2024). A Tiered Quadruplet Network with Patient-Specific Mining and Dynamic Margin for Improved ugly Duckling Lesion Classification. 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, 27-30 May 2024. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isbi56570.2024.10635546
2024
Journal Article
FlowTransformer: A transformer framework for flow-based network intrusion detection systems
Manocchio, Liam Daly, Layeghy, Siamak, Lo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad and Portmann, Marius (2024). FlowTransformer: A transformer framework for flow-based network intrusion detection systems. Expert Systems with Applications, 241 122564, 1-15. doi: 10.1016/j.eswa.2023.122564
2023
Journal Article
Efficient block contrastive learning via parameter-free meta-node approximation
Kulatilleke, Gayan K., Portmann, Marius and Chandra, Shekhar S. (2023). Efficient block contrastive learning via parameter-free meta-node approximation. Neurocomputing, 561 126850, 126850. doi: 10.1016/j.neucom.2023.126850
2023
Other Outputs
Towards Efficient Graph Neural Networks for Optimizing Illicit Dark Web Interventions
Kulatilleke, Gayan (2023). Towards Efficient Graph Neural Networks for Optimizing Illicit Dark Web Interventions. PhD Thesis, School of Electrical Engineering and Computer Science, The University of Queensland. doi: 10.14264/226750b
2023
Journal Article
XG-BoT: an explainable deep graph neural network for botnet detection and forensics
Lo, Wai Weng, Kulatilleke, Gayan, Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). XG-BoT: an explainable deep graph neural network for botnet detection and forensics. Internet of Things, 22 100747, 100747. doi: 10.1016/j.iot.2023.100747
2023
Conference Publication
DOC-NAD: A hybrid deep one-class classifier for network anomaly detection
Sarhan, Mohanad, Kulatilleke, Gayan, Lo, Wai Weng, Layeghy, Siamak and Portmann, Marius (2023). DOC-NAD: A hybrid deep one-class classifier for network anomaly detection. 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW), Bangalore, India, 1 - 4 May 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/ccgridw59191.2023.00016
2023
Journal Article
Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin
Lo, Wai Weng, Kulatilleke, Gayan K., Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2023). Inspection-L: self-supervised GNN node embeddings for money laundering detection in bitcoin. Applied Intelligence, 53 (16), 1-12. doi: 10.1007/s10489-023-04504-9
2022
Conference Publication
FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity
Kulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6
2019
Conference Publication
Breaking bad systems with Human Factors and Ergonomics: using Work Domain Analysis to identify strategies to disrupt trading in dark net marketplaces
Salmon, Paul M., Lane, Ben R., Desmond, Dennis, Cherney, Adrian, Kulatilleke, Gayan, Matthews, Anita, Lacey, David and Stanton, Neville A. (2019). Breaking bad systems with Human Factors and Ergonomics: using Work Domain Analysis to identify strategies to disrupt trading in dark net marketplaces. Human Factors and Ergonomics Society Annual Meeting, Seattle, WA, United States, 28 October - 1 November 2019. Thousand Oaks, CA, United States: Sage Publications. doi: 10.1177/1071181319631315
2019
Conference Publication
HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventions
Lane, Ben, Salmon, Paul, Desmond, Dennis, Cherney, Adrian, Kulatilleke, Gayan and Stanton, Neville (2019). HFE and cybercrime: Using systems ergonomics to design darknet marketplace interventions. 54th Annual Conference of the Human Factors and Ergonomics Society of Australia (HFESA 2019), Canberra, ACT Australia, 24-26 November 2019. Baulkham Hills, NSW Australia: Human Factors and Ergonomics Society of Australia.
Supervision
Availability
- Dr Gayan Kulatilleke is:
- Available for supervision
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