Dr Praboda Rajapaksha

Dr Praboda Rajapaksha

Lecturer in Health Data Science

Computer Science

Contact Details

Praboda Rajapaksha is a Lecturer in Health Data Science at Aberystwyth University and a Data Scientist at HDUHB, NHS Wales. After completing her PhD in Computer Science at IP Paris, she joined the same institute as a postdoctoral research fellow. She obtained her M.Eng. in Computer Science from AIT, Thailand, her M.Sc. in Communication Networks and Services from IMT, France, and her B.Eng. in Computer Engineering from the University of Peradeniya, Sri Lanka. With over nine years of research experience, she has established herself as an expert in data science. She has been actively involved in various European projects (ITEA, BPI, Horizon) and French national initiatives (FUI) and is currently leading a UKRI EPSRC project. Recently, she initiated an innovative collaboration with HDUHB to implement Patient Digital Twin (PDT) technology to transform healthcare delivery across West and mid-Wales. 

Her research interests include Data science, Natural Language Processing, Generative AI, AI and Machine learning, and Digital Twin Technologies

Enhancing UVAs security: SDN and ML-based automated ARP spoofing detection and defense. / Akpokodje, Edore; Tang, Terry; Rajapaksha, Praboda.
2025. Paper presented at Autonomous Systems for Security and Defence II, Madrid, Spain.

Research output: Contribution to conference › Paper › peer-review

Leveraging ensemble deep models and llm for visual polysemy and word sense disambiguation. / Setitra, Insaf; Rajapaksha, Praboda; Myat, Aung Kaung et al.
In: Multimedia Tools and Applications, Vol. 84, No. 29, 102088, 30.09.2025, p. 35727-35759.

Research output: Contribution to journal › Article › peer-review

SA-CLIP: Language Guided Image Spatial and Action Feature Learning. / Li, Guanlin; Shao, Wenhao; Rajapaksha, Praboda et al.
EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025. ed. / Christos Christodoulopoulos; Tanmoy Chakraborty; Carolyn Rose; Violet Peng. Association for Computational Linguistics (ACL), 2025. p. 20808-20814 (EMNLP 2025 - 2025 Conference on Empirical Methods in Natural Language Processing, Findings of EMNLP 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

Can Hallucination Reduction in LLMs Improve Online Sexism Detection? / Ding, Leyuan; Rajapaksha, Praboda; Myat, Aung Kaung et al.
Intelligent Systems and Applications - Proceedings of the 2024 Intelligent Systems Conference IntelliSys Volume 1. ed. / Kohei Arai. Springer Nature, 2024. p. 625-638 (Lecture Notes in Networks and Systems; Vol. 1065 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (ISBN)

CCIM-SLR: Incomplete multiview co-clustering by sparse low-rank representation. / Liu, Zhenjiao; Chen, Zhikui; Lou, Kai et al.
In: Multimedia Tools and Applications, Vol. 83, No. 22, 01.07.2024, p. 61181-61211.

Research output: Contribution to journal › Article › peer-review

More publications on the Research Portal