Praboda Rajapaksha

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Praboda Rajapaksha

Dr

20232025

Research activity per year

Personal profile

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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

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 11 - Sustainable Cities and Communities

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Collaborations and top research areas from the last five years

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  • 3 Conference Proceeding (Non-Journal item)
  • 1 Article

  • Can Hallucination Reduction in LLMs Improve Online Sexism Detection?

    Ding, L., Rajapaksha, P., Myat, A. K., Farahbakhsh, R. & Crespi, N., 31 Jul 2024, Intelligent Systems and Applications - Proceedings of the 2024 Intelligent Systems Conference IntelliSys Volume 1. Arai, K. (ed.). Springer Nature, p. 625-638 14 p. (Lecture Notes in Networks and Systems; vol. 1065 LNNS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

  • Deep Learning for Reducing Redundancy in Madrid's Traffic Sensor Network

    Ding, L., Rajapaksha, P., Minerva, R. & Crespi, N., 2024, Proceedings of the 49th IEEE Conference on Local Computer Networks, LCN 2024. Tschorsch, F., Thilakarathna, K. & Solmaz, G. (eds.). IEEE Press, (Proceedings - Conference on Local Computer Networks, LCN).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

    Open Access

  • Unveiling Human Values: Analyzing Emotions behind Arguments

    Jafari, A. R., Rajapaksha, P., Farahbakhsh, R., Li, G. & Crespi, N., 12 Apr 2024, In: Entropy. 26, 4, 11 p., 327.

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

    Open Access
    File

  • Summary of the 2nd Workshop on Digital Twins and the Internet of Things at IEEE WF-IoT 2023

    Drobot, A., Minerva, R., Crespi, N., Benmiloud-Bechet, L., Bonomi, F., Heininger, R., Jost, T. E., Lee, G. M., Kovacs, E., Moreau, N., Rajapaksha, P., Savaglio, C., Song, J. S. & Stary, C., 12 Oct 2023, 2023 IEEE 9th World Forum on Internet of Things (WF-IoT): The Blue Planet: A Marriage of Sea and Space. IEEE Press, (IEEE World Forum on Internet of Things (WF-IoT)).

    Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)