Zahid Islam

Professor Zahid Islam

Computer Scientist

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

  • Clarke, A., Yates, D., Blanchard, C., Islam, M. Z., Ford, R., Rehman, S.-U., & Walsh, R. P. (2024). Integrating Climate and Satellite Data for Multi-Temporal Pre-Harvest Prediction of Head Rice Yield in Australia. Remote Sensing, 16(10), 1815. https://www.mdpi.com/2072-4292/16/10/1815
  • Clarke, A., Yates, D., Blanchard, C., Islam, M. Z., Ford, R., Rehman, S., & Walsh, R. (2024). The effect of dataset construction and data pre-processing on the eXtreme Gradient Boosting algorithm applied to head rice yield prediction in Australia. Computers and Electronics in Agriculture, 219, Article 108716. https://doi.org/10.1016/j.compag.2024.108716
  • Bewong, M., Ho Leung Ip, R., Lewis, C., Krivokapic-Skoko, B., Islam, Z., Al-Saggaf, Y., Medway, J., Ali, B., & Dixon, E. (2023). Potential implications and benefits for the agricultural technology sector from the introduction of the Australian Agricultural Data Exchange. Food Agility CRC, Sydney, NSW Australia. eBook ISBN: 978-0-6454652-7-3
  • Clarke, A., Yates, D., Blanchard, C., Islam, M.Z., Ford, R., Rehman, S. & Walsh, R. (2024): The effect of dataset construction and data pre-processing on the eXtreme Gradient Boosting algorithm applied to head rice yield prediction in Australia, Computers and Electronics in Agriculture,Volume 219, 108716, https://doi.org/10.1016/j.compag.2024.108716
  • 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: https://doi.org/10.1016/j.eswa.2023.120405.