Abdullah, A., Sandjaja, Fannya Ratana, Majeed, A. A., Wickremasinghe, G., Rafferty, K., & Sharma, V. (2024). Uncertainty in Supply Chain Digital Twins: A Quantum-Classical Hybrid Approach. ArXiv.org. https://arxiv.org/abs/2411.10254

Bradley, E., Roman, M., Rafferty, K., & Devereux, B. (2024). SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction. ArXiv.org. https://arxiv.org/abs/2412.04262

Brown, A., Roman, M., & Devereux, B. (2025). A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges. Big Data and Cognitive Computing, 9(12), 320–320. https://doi.org/10.3390/bdcc9120320

Dai, Y., Spence, I., Rafferty, K., Quinn, B., Huang, J., & Wang, H. (2025). TDSRL: Time Series Dual Self-Supervised Representation Learning for Anomaly Detection From Different Perspectives. IEEE Internet of Things Journal, 12(17), 35078–35096. https://doi.org/10.1109/jiot.2025.3577931

Deka, P., & Devereux, B. (2025). Structured Extraction from Business Process Diagrams Using Vision-Language Models. ArXiv.org. https://arxiv.org/abs/2511.22448

Deka, P., & Devereux, B. (2025). Flowchart2Mermaid: A Vision-Language Model Powered System for Converting Flowcharts into Editable Diagram Code. ArXiv.org. https://arxiv.org/abs/2512.02170

Lieander, A. J., Wang, H., & Rafferty, K. (2025). Prompt Optimization with Two Gradients for Classification in Large Language Models. AI, 6(8), 182. https://doi.org/10.3390/ai6080182

Oyelade, O. N., Wang, H., & Rafferty, K. (2025). A Survey of Adaptation of Large Language Models to Idea and Hypothesis Generation: Downstream Task Adaptation, Knowledge Distillation Approaches and Challenges. ACM Computing Surveys, 58(6), 1. https://doi.org/10.1145/3774628

Oyelade, O. N., Wang, H., & Rafferty, K. (2025). SMAR + NIE IdeaGen: A knowledge graph based node importance estimation with analogical reasoning on large language model for idea generation. Expert Systems with Applications, 279, 127455. https://doi.org/10.1016/j.eswa.2025.127455

Ren, T., Wang, H., & Rafferty, K. (2025). Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition. Proceedings of the AAAI Conference on Artificial Intelligence, 39(23), 25083–25091. https://doi.org/10.1609/aaai.v39i23.34693

Ren, T., Zhang, Z., Wang, H., & Rafferty, K. (2025). OBELLA: Open the Book for Evaluating Long-Form Large Language Model Answers in Open-Domain Question Answering. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1109–1119. https://doi.org/10.1145/3726302.3730047

Sandjaja, Fannya R, Majeed, A. A., Abdullah, A., Wickremasinghe, G., Rafferty, K., & Sharma, V. (2025). Policy Design in Zero-Trust Distributed Networks: Challenges and Solutions. ArXiv.org. https://arxiv.org/abs/2508.04526

Smith, C., Rafferty, K., Sharma, V., & Rainey, E. (2025). Effective Mitigation of Cognitive Load in Complex Mixed Reality Tasks. Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 506–517. https://doi.org/10.5220/0013373700003912

Gyan Wickremasinghe, Fannya Ratana Sandjaja, Rafferty, K., & Sharma, V. (2025, November 24). State-verification in asynchronous blockchain-driven agentic AI systems. Proceedings of the 40th International Conference on Information Networking: ICOIN 2026.

Wickremasinghe, G., Frost, S., Rafferty, K., & Sharma, V. (2025). Sustainable business decision modelling with blockchain and digital twins: A survey. Blockchain: Research and Applications, 100312. https://doi.org/10.1016/j.bcra.2025.100312

Wickremasinghe, G., Frost, S., Rafferty, K., & Sharma, V. (2024). Demonstrating a Hyperledger Fabric-based Blockchain with Knowledge Graphs for a Supply Chain Ecosystem. 2024 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 15–16. https://doi.org/10.1109/icbc59979.2024.10634370

ACM SAC 2026, Thessaloniki, Greece
Pritam Deka: ‘Structured Extraction from Business Process Diagrams Using Vision-Language Models’

AI Con 2024, AICC, Belfast 
Pritam Deka: ‘AI-Powered Information Extraction: Turning Business Documents into Actionable Insights’

EAI INISCOM 2026, Da Nang City, Vietnam (Best Paper Award)
Fannya Ratana Sandjaja: ‘Policy Design in Zero-Trust Distributed Networks: Challenges and Solutions’

ICOIN 2026, Hanoi, Vietnam
Gyan Wickremasinghe: ‘State-Verification in Asynchronous Blockchain-Driven Agentic AI Systems’

ICDAR 2025, Wuhan, China
Ethan Bradley: ‘SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction’

IEEE SmartComp 2025, Cork, Ireland
Vishal Sharma, Gyan Wickremasinghe, Ayesha Abdul Majeed: ‘Secure & Smart Distributed Computing (Agentic AI & Blockchain)’

AAAI 2025, Philadelphia, USA
Tianyu Ren: ‘Enhanced Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition’

HUCAPP 2025, Porto, Portugal (Best Student Paper Award)
Callum Smith: ‘Effective Mitigation of Cognitive Load in Mixed Reality Tasks’

IEEE ICBC 2024, Dublin, Ireland
Gyan Wickremasinghe: ‘Demonstrating a Hyperledger Fabric-based Blockchain with Knowledge Graphs for a Supply Chain Ecosystem’
Vishal Sharma, Gyan Wickremasinghe: ‘Beyond – Crypto: Preparing for the Next Wave of Challenges in Distributed Ledger Technology’