Rasika Edirisinghe

Rasika Edirisinghe

Marie Curie Early Stage Researcher · CASCADE Horizon Europe MSCA
📍 University College Cork, Ireland
NLP Machine Learning Text Reuse Detection Semantic Change Transformers Data Visualization
✉ Personal ✉ UCC LinkedIn GitHub ORCID Scholar Blog

Recent Updates

Apr 2026 Started secondment at Nimbus Research Centre — working on the inTrusted project (trust in digital ecosystems, agentic cyber-physical systems).
Oct 2025 Presented Beyond Translation: Rethinking 'Parallel Text' Across Disciplines at the UCC Digital Humanities Colloquium.
Jul 2025 Paper accepted at DH2025 (Lisbon) — Rewriting Tradition: Quantifying Change in Lady Gregory's Irish Legends.
Apr 2025 Lightning talk at CACSSS PhD Lightning Talks — Language Modelling and Visualization for Parallel Text.
Feb 2025 Served as peer reviewer at the 8th International Research Conference on Smart Computing and Systems Engineering.
Sep 2024 Commenced PhD in Computer Science at University College Cork under the CASCADE MSCA project.

About Me

I am an AI researcher specialising in Natural Language Processing, Machine Learning, and Transformers, with a strong foundation in applied data visualization. I am currently pursuing a fully funded PhD in Computer Science at University College Cork under the CASCADE Horizon Europe MSCA programme, developing LLM-powered text reuse detection systems for diachronic corpora and low-resource textual domains.

I bring over four years of cross-functional industry experience as a data analyst and implementation engineer — building cloud-based BI tools, automation pipelines, and real-time analytics platforms. I thrive at the intersection of research and real-world application, aiming to deliver explainable, human-centered AI solutions for language and data-intensive environments.

I am currently on secondment at Nimbus Research Centre (Apr–Jul 2026), collaborating with Tharindu Ranathunga on the inTrusted project — exploring trust frameworks for agentic cyber-physical systems and the gap between human intentionality and AI interpretation.

Research Focus

Primary

Text Reuse Detection

Advanced systems using LLMs to detect reuse across unstable spellings and historical texts.

Primary

Semantic Change Detection

Computational approaches to tracking meaning shift across time and parallel corpora.

Secondary

AI Interpretability & Viz

Interactive visualization techniques to make NLP model outputs explainable to researchers.

Secondment

Agentic Cyber-Physical Systems

Trust, compliance, and accountability in AI-driven systems — inTrusted project at Nimbus.