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
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Collaborations and top research areas from the last five years
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KTP: Human Facial Expression Identification using AI for Clinical Trials
Helian, N. (PI) & Lione, L. (CoPI)
2/03/26 → 1/02/29
Project: Research
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Staff Job Scheduling Considering Route Optimisation for Home Care Services
Helian, N. (PI) & Sun, Y. (CoI)
6/02/25 → 3/02/28
Project: Research
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Drug efficacy prediction by using machine learning techniques
Lione, L. (CoI) & Helian, N. (PI)
1/09/25 → 16/12/25
Project: Research
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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 journal › Article › peer-review
Open AccessFile1 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 proceeding › Conference contribution
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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 proceeding › Conference contribution
Open AccessFile1 Citation (Scopus) -
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 proceeding › Conference contribution
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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 journal › Article › peer-review
Open AccessFile1 Citation (Scopus)25 Downloads (Pure)