Computing, Mathematics and Engineering
Associate Professor Ashad Kabir is an expert in Data Science, Smartphone Apps and Artificial Intelligence in Agriculture and Digital Health. He is the Deputy Leader of the Data Mining Research Group at CSU. His research focuses on applying advanced technologies, including data mining, artificial intelligence, and smartphone apps, to solve problems in the domain of agriculture and health while considering privacy and system security. A/Prof Kabir has published over 100 research articles and secured research grants totalling over $7.5 million. As the lead and sole investigator, he successfully completed several industry-funded projects with excellent impact and quality publications. He is a recipient of the Vice Chancellor Research Excellence Awards 2022 in the category of "Researcher of the Year in the Faculty" for research achievements, including research publications, grants, research leadership, impact, significance, and entrepreneurial spirit.
Hossain, M. R. H., & Kabir, A. (2023). Machine Learning Techniques for Estimating Soil Moisture from Smartphone Captured Images. Agriculture, 13, Article 574. https://doi.org/10.3390/agriculture13030574
Hossain, M. E., Kabir, A., Zheng, L., Swain, D., McGrath, S., & Medway, J. (2022). A systematic review of machine mearning techniques for cattle identification: Datasets, methods and future directions. Artificial Intelligence in Agriculture, 6, 138-155. Advance online publication. https://doi.org/10.1016/j.aiia.2022.09.002
Siddiqua, A., Kabir, M. A., Ferdous, T., Ali, I. B., & Weston, L. A. (2022). Evaluating plant disease detection mobile applications: Quality and limitations. Agronomy, 12(8), Article 1869. https://doi.org/10.3390/agronomy12081869
Uddin, M., Chowdhury, A., & Kabir, M. A. (2022). Legal and ethical aspects of deploying artificial intelligence in climate-smart agriculture. AI and Society. Advance online publication. https://doi.org/10.1007/s00146-022-01421-2
Sinclair, R., & Kabir, A. (Accepted/In press). Understanding the effect of Smartphone cameras on estimating Munsell Soil Color from imagery. In International Conference on Digital Image Computing: Techniques and Applications (DICTA) IEEE Xplore. https://doi.org/10.1109/DICTA56598.2022.10034624