Zahid Islam

Professor Zahid Islam

Computer Scientist

(FRSN)

Computing, Mathematics and Engineering

Biography

Zahid Islam (Full name: Md Zahidul Islam) is a Professor of Computer Science, in the School of Computing, Mathematics and Engineering at Charles Sturt University, Australia. For detailed and recent information please visit https://csusap.csu.edu.au/~zislam/.

He has been serving as the Director of the Data Science and Engineering Research Unit (DSERU) since January 2019. He has been also serving as the Theme Lead and Charles Sturt University (CSU) Academic Lead for the Cyber Security CRC since January 2021. He serves as the Chair of the School Research Committee of the School of Computing, Mathematics and Engineering.

Research
  • Data Mining
  • Classification and Clustering algorithms
  • Missing value analysis
  • Outliers detection
  • Data Cleaning and Preprocessing
  • Incremental Learning
  • Transfer Learning
  • Federated Learning
  • Privacy Preserving Data Mining
  • Cyber Security
  • Applications of Data Mining in real life
Publications
Full publications list on CRO

Recent Publications

  • Hossain, M. R. H., Islam, R., McGrath, S. R.,Islam, M. Z., & Lamb, D. (2025). Learning-based estimation of cattle weight gain and its influencing factors. Computers and Electronics in Agriculture, 231, 1-20. Article 110033. https://doi.org/10.1016/j.compag.2025.110033
  • Hossain, M. R. H., Islam, M. R., McGrath, S. R., Islam, M. Z., & Lamb, D. (2025). Mob-based cattle weight gain forecasting using ML models. Smart Agricultural Technology, 12, 1-13. Article 101428. https://doi.org/10.1016/j.atech.2025.101428
  • Halder, S., Rafiqul Islam, M., Mamun, Q., Mahboubi, A., Walsh, P., & Islam, M. Z. (2025). A comprehensive survey on AI-enabled secure social industrial Internet of Things in the agri-food supply chain. Smart Agricultural Technology, 11, 1-20. Article 100902. https://doi.org/10.1016/j.atech.2025.100902
  • Costadopoulos, N., Tien, D., Rehman, S. U., & Islam, M. Z. (2025). An Agnostic Interpretable Machine Learning for Knowledge Discovery Framework. IEEE Access, 13, 188102-188127. https://doi.org/10.1109/ACCESS.2025.3625289
  • Newell, J., Rehman, S., Mamun, Q., & Islam, Z. (2025). EASL: Enhanced append-only skip list index for agile block data retrieval on blockchain. Future Generation Computer Systems, 164(107554), 1. Article 107554. https://doi.org/10.1016/j.future.2024.107554