Public scholarship
Research presented in public, alongside peer review, evaluation, and curriculum work.
Chronology
Digital Humanities Congress 2026 · University of Sheffield
Presented an evaluation of rule-based and LLM-assisted approaches to extracting structured lexical information from Hiberno-English dictionary material. Presentation details ↗
CASCADE × MECANO Convention 1
Presented the multidimensional framework published in the Convention 1 short abstracts. Convention 1 short abstracts ↗
UCC Digital Humanities Colloquium · University College Cork
Presented a cross-disciplinary reframing of the concept of 'parallel text', examining how the term is understood differently across NLP, translation studies, and digital humanities — and what a unified computational treatment would require.
DH2025: Alliance of Digital Humanities Organizations · Lisbon, Portugal
Presented the published conference abstract on computational comparison of textual transformation in Lady Gregory's retellings of Irish legend. Published abstract ↗
CACSSS PhD Lightning Talks · University College Cork · University College Cork
Introduced doctoral research on language modelling and visualisation for parallel-text analysis to the CACSSS research community.
2023 International Research Conference on Smart Computing and Systems Engineering (SCSE) · University of Kelaniya
Presented the research paper at SCSE 2023.
Service
8th International Research Conference on Smart Computing and Systems Engineering (SCSE 2025)
Evaluated academic papers on AI, NLP, and Machine Learning research; provided technical assessments and constructive feedback.
Department of Industrial Management, Faculty of Science, University of Kelaniya
Served as evaluator for student projects in System Development & Data Science.
Department of Electrical & Information Engineering, University of Ruhuna
External consultant and reviewer for curriculum design covering Python, data preprocessing and acquisition, dimensionality reduction, cross-validation, overfitting and underfitting, and performance metrics.