Projects per year
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. Dr. Helian was the first co-investigator of this grant.
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 four KTP, one KEEP+, one HKEP projects, as well as a few University Enterprise Zone Technical Consultancy and Meet Expert projects. Since March 2017, she has attracted over £1 million funding in total.
Research interests
Data Mining
Cloud Computing
Data Storage and Data Communication
Teaching specialisms
Data Mining
Databases
Programming
Networking
Fingerprint
- 1 Similar Profiles
Collaborations and top research areas from the last five years
-
Customer preference pattern analysis for VIP travel agent
Helian, N. (PI) & Lane, P. (PI)
1/10/24 → 31/03/25
Project: Research
-
Resource Optimisation for Freight Logistics Management
Meng, L. (PI) & Helian, N. (CoPI)
1/03/23 → 1/11/25
Project: Research
-
Activity Recognition Using Artificial Intelligence for Health & Social Care
Helian, N. (PI) & Sun, Y. (CoPI)
1/07/22 → …
Project: Research
-
AI-powered self-learning conversation tree for debt collection
Helian, N. (PI), Veneziano, V. (PI) & Lane, P. (PI)
1/06/24 → 31/07/24
Project: Research
-
Investigating the impacts of various deep neural network techniques on human fall detection
Helian, N. (PI) & Sun, Y. (CoPI)
1/04/24 → 30/06/24
Project: Research
-
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 Link, p. 110–119 10 p. (Lecture Notes in Networks and Systems; vol. 1058 LNNS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
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 AccessFile17 Downloads (Pure) -
On Instance Weighted Clustering Ensembles
Moggridge, P., Helian, N., Sun, Y. & Lilley, M., 4 Oct 2023. 6 p.Research output: Contribution to conference › Paper › peer-review
Open AccessFile21 Downloads (Pure) -
Ensemble Learning for Medical Image Character Recognition based on Enhanced Lenet-5
Osagie, E., Ji, W. & Helian, N., 2 Oct 2023, CIBCB 2023 - 20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology. Eindhoven, Netherlands: Institute of Electrical and Electronics Engineers (IEEE), 8 p. (CIBCB 2023 - 20th IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile74 Downloads (Pure) -
An efficient churn prediction model using gradient boosting machine and metaheuristic optimization
AlShourbaji, I., Helian, N. & Sun, Y., 2 Sept 2023, In: Scientific Reports. 13, 1, 18 p., 14441.Research output: Contribution to journal › Article › peer-review
Open AccessFile15 Downloads (Pure)