Research output per year
Research output per year
Organisation profile
Organisation profile
Data Science Research Unit (DSRU) is a research initiative of Charles Sturt University. It builds on the research strengths mainly within the School of Computing and Mathematics in:
- machine learning
- machine vision
- cybersecurity
- simulation and modelling
- computational intelligence and robotics
- data mining
- astronomical and space sciences
Members of the Data Science Research Unit (DSRU) have their research interest and expertise mainly in the following Fields of Research (FoR). These Fields of Research have also achieved outstanding ERA 2018 evaluation.
| FoR Code |
FoR Description |
FoR Ranking |
| 02 |
Physical Sciences | 5 - Well above world standard |
| 0201 | Astronomical and Space Sciences | 5 - Well above world standard |
| 08 |
Information and Computing Sciences | 3 - At world standard |
| 0801 | Artificial Intelligence and Image Processing | 3 - At world standard |
| 0807 | Library and Information Studies | 4 - Above world standard |
Our colleagues are also contributing heavily in a number of other emerging research areas which are shaping up very well. Some of these emerging research areas include FoR Code 0803: Computer Software (ERA 2018 Ranking of 2), FoR Code 0806: Information Systems (ERA 2018 Ranking of 2) and FoR Code 0805: Distributed Computing (ERA 2018 Ranking of 1).
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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
Profiles
Research output
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A calculation model for the spatial distribution and reserves of ground ice - A case study of the Northeast China permafrost area
Zhang, Z., Li, M., Wang, J., Yin, Z., Yang, Y., Xun, X. & Wu, Q., 20 Mar 2023, In: Engineering Geology. 315, 107022.Research output: Contribution to journal › Article › peer-review
9 Citations (Scopus) -
A Comparison of Geocomputational Models for Validating Geospatial Distribution of Water Quality Index
Uddin, M. G., Nash, S., Diganta, M. T. M., Rahman, A. & Olbert, A. I., 2023, Computational Statistical Methodologies and Modeling for Artificial Intelligence. USA: CRC Press, p. 243-276 34 p.Research output: Book chapter/Published conference paper › Chapter (peer-reviewed) › peer-review
1 Citation (Scopus) -
A Comparison of Machine Learning Techniques for the Detection of Type-2 Diabetes Mellitus: Experiences from Bangladesh
Uddin, M. J., Ahamad, M. M., Hoque, M. N., Walid, M. A. A., Aktar, S., Alotaibi, N., Alyami, S. A., Kabir, A. & Moni, M. A., Jul 2023, In: Information (Basel). 14, 7, 19 p., 376.Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Citations (Scopus)4 Downloads (Pure)
Datasets
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Metropolitan-and-rural-health-districts-COVID-19-data-for-NSW-Australia
Rahman, A. (Creator), Kuddus, M. A. (Creator), Ip, R. (Creator) & Bewong, M. (Creator), https://figshare.com/, 29 Jul 2023
Dataset
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Covid-19 datasets for research
Wong, H. S. (Creator), Hasan, M. Z. (Creator), Sharif, O. (Creator) & Rahman, A. (Creator), Public Library of Science (PLoS), 28 Apr 2023
DOI: 10.1371/journal.pone.0284157.s001-3, https://figshare.com/articles/dataset/S1_File_-/22711952 and one more link, https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0284157 (show fewer)
Dataset
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COVID-19 Incidence data for six high burdening countries
Rahman, A. (Creator) & Kuddus, M. A. (Creator), https://figshare.com/, 22 Apr 2020
Dataset
Prizes
Activities
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Axioms (Journal)
Zhenquan (Jan) Li (Reviewer)
01 Sept 2023 → 30 Sept 2023Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
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International Journal for Numerical Methods in Fluids (Journal)
Zhenquan (Jan) Li (Reviewer)
12 Aug 2023 → 30 Oct 2023Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
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Fluids (Journal)
Zhenquan (Jan) Li (Reviewer)
01 May 2023 → 04 Jun 2023Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
Press/Media
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Saline soil: Experiment to grow trees, paddy crops heading towards success
Michael Mitchell & M. Arif Khan
14/08/23
1 item of Media coverage
Press/Media: Press / Media
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SAU experiment on growing crops in saline land gaining success
Michael Mitchell & M. Arif Khan
10/08/23
1 item of Media coverage
Press/Media: Press / Media
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Radio 2BS (Bathurst) live-to-air interview on COVID-19 research
12/07/23
1 Media contribution
Press/Media: Press / Media
Impacts
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Epilepsy Seizure prediction using Electroencephalogram (EEG) signal analysis
Manoranjan Paul (Creator) & Mohammad Zavid Parvez (Creator)
Impact: Quality of life Impact
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Integrating knowledge from computer vision, coding and human-computer interaction to achieve ultra-compression of video data
Manoranjan Paul (Creator)
Impact: Economic Impact, Quality of life Impact
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Machine vision improves defect detection in manufacturing of collagen casings (sausage skins)
Manoranjan Paul (Creator) & Christopher D. Williams (Creator)
Impact: Economic Impact