Skip to main navigation Skip to search Skip to main content

Personal profile

Overview

Dr. Na Helian has 30 years research experience around UK, Singapore, Japan and China in data mining, grid computing, data storage, etc. She has 62 journal papers (including 16 in IEEE Transactions) and 54 conference proceeding papers published in the above areas. Her research background on data storage contributed to the following research funding: EPSRC project (GR/S96487): Grid-Oriented Storage (GOS): Next Generation Data Storage System Architecture for the Grid Computing Era,£346,301, plus £381,930 by DTI (Department of Trade and Industry)/Xyratex.

Over the past few years, Na Helian’s research has been focused on data mining. She has been working on various industry collaborating projects, including six KTPs, one KEEP+, one HKEP projects, as well as a few contract research project, University Enterprise Zone Technical Consultancy and Meet Expert projects. Since March 2017, she has attracted over £2 million funding in total. 

Research interests

Data Mining
Cloud Computing
Data Storage and Data Communication

Teaching specialisms

Data Mining
Databases
Programming
Networking

Fingerprint

Dive into the research topics where Na Helian is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 6 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
  • Bayesian-Optimised Latent Encoding and Agent-Based Simulation for Enhanced Medical Image Character Recognition

    Osagie, E., Ji, W. & Helian, N., 19 Nov 2025, In: International Journal of Scientific Research and Modern Technology. 4, 11, p. 84–94 11 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    3 Downloads (Pure)
  • Vision-Based Human Fall Detection Using 3D Neural Networks

    Toh, S. M., Helian, N., Pasipamire, K., Sun, Y. & Pasipamire, T., 28 Feb 2025, Artificial Intelligence XLI - 44th SGAI International Conference on Artificial Intelligence, AI 2024, Proceedings. Bramer, M. & Stahl, F. (eds.). Springer Nature Switzerland, Vol. 15447. p. 46–58 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15447 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)
  • Using BERT to Generate Contextualised Textual Images for Sentiment Analysis

    Singh, H., Helian, N., Adams, R. & Sun, Y., 17 Feb 2025, Artificial Intelligence and Soft Computing - 23rd International Conference, ICAISC 2024, Proceedings. Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Pedrycz, W. & Zurada, J. M. (eds.). Springer Nature , p. 234-243 10 p. (Lecture Notes in Computer Science; vol. 15164 LNAI).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
    1 Citation (Scopus)
    1 Downloads (Pure)
  • Medical Image Character Recognition Using Attention-Based Siamese Networks for Visually Similar Characters with Low Resolution

    Osagie, E., Ji, W. & Helian, N., 1 Aug 2024, Proceedings of the 3rd International Conference on Innovations in Computing Research (ICR’24). Daimi, K. & Al Sadoon, A. (eds.). Springer Nature , p. 110–119 10 p. (Lecture Notes in Networks and Systems; vol. 1058 LNNS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • Burnt-in Text Recognition from Medical Imaging Modalities: Existing Machine Learning Practices

    Osagie, E., Ji, W. & Helian, N., 20 Jan 2024, In: Journal of Advanced Computational Intelligence and Intelligent Informatics. 28, 1, p. 103-110 8 p.

    Research output: Contribution to journalArticlepeer-review

    Open Access
    File
    2 Citations (Scopus)
    29 Downloads (Pure)