Charles Sturt University
Charles Sturt University

Publications

DSERU 2025

Image sourced from https://researchoutput.csu.edu.au/en/organisations/data-science-research-unit/publications/

Some recent quality research outputs are listed below.  A comprehensive list of all DSERU publications can be accessed from here.

  1. Taheri, S., Zhong, X., Clark, S. M., Samali, B., & Saeed, N. (2025). Sustainable concrete utilizing waste latex paint. Sustainable Materials and Technologies, 43, e01219. https://doi.org/10.1016/j.susmat.2024.e01219
  2. Alsadoon, A., Al-Naymat, G., & Islam, M. R. (2024). Deep learning models for human age prediction to prevent, treat and extend life expectancy: DCPV taxonomy. Multimedia Tools and Applications, 83(2), 4825-4857.
  3. Cook, J., ur Rehman, S., & Khan, M. A. (2024, July). Cryptanalysis of the Simon cypher using Neo4j. In 2024 International Conference on Electrical, Computer and Energy Technologies (ICECET) (pp. 1-6), IEEE.
  4. Zhang, Y., Kwashie, S., Bewong, M., Hu, J., Mahboubi, A., Guo, X., & Feng, Z. (2023, November). Discovering graph differential dependencies. In Australasian Database Conference (pp. 259-272). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-47843-7_1
  5. Adnan, M.N., Ip, R.H.L., Bewong, M. & Islam, M.Z. (2021). BDF: A new decision forest algorithm. Information Sciences 569, 687-705. https://doi.org/10.1016/j.ins.2021.05.017
  6. Afsana, F., Kabir, M.A., Hassan, N. and Paul, M. (2021), “Automatically assessing quality of online health articles,” IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2020.3032479, [CORE A*, JCR Q1]
  7. Ahmmed, A., Murshed, M., Paul, M. and Taubman, D. (2021), “A Commonality Modeling Framework for Enhanced Video Coding Leveraging on the Cuboidal Partitioning Based Representation of Frames,” IEEE Transactions on Multimedia, [CORE A*, SJR and JCR Q1]
  8. Al-Saggaf,  Y. (2022). The Psychology of Phubbing. Springer Nature. https://link.springer.com/book/10.1007/978-981-19-7045-0
  9. Bhuiyan, M.S.I., Rahman, A., Kim, G.W., Das, S., & Kim, P.J. (2021). Eco-friendly yield-scaled global warming potential assists to determine the right rate of nitrogen in rice system: A systematic literature review. Environmental Pollution 271, 116386. https://doi.org/10.1016/j.envpol.2020.116386
  10. Camtepe, Seyit, Jarek Duda, Arash Mahboubi, Paweł Morawiecki, Surya Nepal, Marcin Pawłowski, and Josef Pieprzyk. "Compcrypt–lightweight ANS-based compression and encryption." IEEE Transactions on Information Forensics and Security 16 (2021): 3859-3873
  11. Ibbett, A., Al-Saggaf, Y. (2023). Using a Distributed Sensor Network to Educate Children About IoT Leakage of Sensitive Information. In: Bravo, J., Ochoa, S., Favela, J. (eds) Proceedings of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAmI 2022). UCAmI 2022. Lecture Notes in Networks and Systems, vol 594. Springer, Cham. https://doi.org/10.1007/978-3-031-21333-5_50
  12. Islam, M.R. and Paul, M. (2021), “Improved Video Rain Streaks Removal by Combining Data-Driven and Feature-Based Models,” Sensors, [JCR and SJR Q1]
  13. Kabir, M.A., Han, J., Hossain, M.A. & Versteeg, S. (2021). SpecMiner: Heuristic-based mining of service behavioral models from interaction traces. Future Generation Computer Systems 117, 59-71. https://doi.org/10.1016/j.future.2020.10.033
  14. Kabir, M.A., Rahman, S.S., Islam, M.M., Ahmed, S. & Laird, C (2021) Mobile apps for foot measurement in pedorthic practice: Scoping review. JMIR mHealth and uHealth 9, e24202. https://doi.org/10.2196/24202
  15. Li, J., Xing, Z. & Kabir, M.A. (2021). Leveraging official content and social Context to recommend software documentation. IEEE Transactions on Services Computing 14, 472–486. https://doi.org/10.1109/TSC.2018.2812729
  16. Maclean, J., Al-Saggaf, Y., & Hogg, R. (2022). Instagram Photo Sharing and Its Relationships With Social Connectedness, Loneliness, and Well-Being. Social Media + Society, 8(2). https://doi.org/10.1177/20563051221107650
  17. Rahman, M.G. and Islam, M.Z. (2022). A Framework for Supervised Heterogeneous Transfer Learning Using Dynamic Distribution Adaptation and Manifold Regularization. IEEE Transactions on Services Computing, in press. http://doi.org/10.1109/TSC.2022.3213238
  18. Rahman, M.G. & Islam, M.Z. (2021). Adaptive Decision Forest: An Incremental Machine Learning Framework. Pattern Recognition, 122, 108345. https://doi.org/10.1016/j.patcog.2021.108345
  19. Rahman, M.A., Ang, L.M. & Seng, K.P. (2020). Clustering biomedical and gene expression datasets with kernel density and unique neighborhood set based vein detection. Information Systems 91, 101490. https://doi.org/10.1016/j.is.2020.101490
  20. Yao, S., You, R., Wang, S., Xiong, Y., Huang, X. & Zhu, S. (2021) NetGO 2.0: improving large-scale protein function prediction with massive sequence, text, domain, family and network information. Nucleic Acids Research, 49, W469-W475. https://doi.org/10.1093/nar/gkab398
  21. Yates, D. & Islam, M.Z. (2021). FastForest: Increasing random forest processing speed while maintaining accuracy. Information Sciences 557, 130-152. https://doi.org/10.1016/j.ins.2020.12.067