Ashad Kabir

Associate Professor Ashad Kabir

Computer Scientist

Computing, Mathematics and Engineering

Biography

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.

Research
  • Artificial Intelligence in Agriculture
  • Precision Agriculture and Smart Farming
  • Agriculture Data Standardization, Sharing and Privacy
  • Data Analytics and Visualization
  • Smartphone Apps and Software for Agriculture
  • Supply Chain Tracking and Tracing
  • Machine/Deep Learning and Image Processing
Publications
Full publications list on CRO

Recent publications

  • Wang, L., Cheng, Y., Islam, M. M., Luo, F., Kabir, A., Doyle, R., Lin, Z., & Naidu, R. (2024). Advancing Soil Health: Challenges and Opportunities in Integrating Digital Imaging, Spectroscopy, and Machine Learning for Bio-indicator Analysis. Analytical Chemistry. Advance online publication. https://doi.org/10.1021/acs.analchem.3c05311
  • Sinclair, R., Nodi, S., & Kabir, A. (2024). Evaluating mobile applications for estimating soil properties: Quality of current apps, limitations and future directions. Computers and Electronics in Agriculture 216 Article 108527. https://doi.org/10.1016/j.compag.2023.108527
  • Habib, M., Kabir, A., Zheng, L., & McGrath, S. (2024). LEI: Livestock Event Information Schema for Enabling Data Sharing. Computers and Electronics in Agriculture, 220, Article 108874. https://doi.org/10.1016/j.compag.2024.108874
  • Habib, M., Kabir, A., & Zheng, L. (2024). LEI2JSON: Schema-based validation and conversion of livestock event information. SoftwareX, 26, Article 101629. https://doi.org/10.48550/arXiv.2310.17414, https://doi.org/10.1016/j.softx.2023.101629
  • Upadhyay, U., Dhar, E., Bomrah, S., Huang, Y., Uddin, M., Kabir, M. A., & Syed-Abdul, S. (2024). The Impact of Social and Broadcast Media on Public Health Initiatives: Study of the COVID-19 Infodemics. Studies in Health Technology and Informatics, 310, 469-473. https://doi.org/10.3233/SHTI231009
  • Sharma, N. A., Kumar, K., Chand, R. R., & Kabir, A. (2024). Utilizing Hyperspectral Imaging with Machine Learning Techniques for Soil Analysis. In Computational Intelligence Based Hyperspectral Image Analysis Springer. 
    https://www.researchgate.net/publication/378401939_Utilizing_Hyperspectral_Imaging_with_Machine_Learning_Techniques_for_Soil_Analysis