Zahid Islam

Professor Zahid Islam

Computer Scientist

Computing, Mathematics and Engineering


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

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.

  • 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
Full publications list on CRO

Recent Publications

Rahman, M. A., Hossain, B. A., Bewong, M., Islam, M. Z., Zhao, Y., Groves, J., and Judith, R. (2023): A Semi-Automated Hybrid Schema Matching Framework for Vegetation Data Integration, Expert Systems With Applications, Vol. 229, Part A, pg. 1- 10, 2023. DOI:

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, Vol. 16 (3), pg. 1555-1571, DOI: 10.1109/TSC.2022.3213238.

Rahman, M. G., and Islam, M. Z. (2022): Adaptive Decision Forest: An Incremental Machine Learning Framework, Pattern Recognition, pg. 108345, vol. 122, ISSN 0031-3203. DOI:

Yates, D., and Islam, M. Z. (2022): Data Mining on Smartphones: An Introduction and Survey, ACM Computing Surveys, Vol. 55, Issue 5, Article No. 101, pp 1-38, DOI:

Yates, D. and Islam, M. Z. (2021): FastForest: Increasing Random Forest Processing Speed While Maintaining Accuracy, Vol. 557, January 2021, pg. 130-152, Information Sciences, DOI: