معرفی
Motiur Rahaman is a research-focused academic at Charles Sturt University, Australia, affiliated with the Data Mining Research Group (DaMRG) in the School of Computing, Mathematics and Engineering. His work bridges artificial intelligence with practical applications in agriculture and healthcare.
- Charles Sturt University
- Data Mining Research Group (DaMRG)
- Department of Computer Science
His research interests center on artificial intelligence, computer vision, and data mining, with strong applications in remote sensing for agriculture (e.g., weed detection in crops) and medical imaging analysis (e.g., predicting ICU admission from X-ray features in COVID-19 patients). He also explores speech emotion classification using augmented audio data. His work often involves Gaussian mixture modeling, spatial correlation analysis, and deep learning techniques.
The recent publications show a clear trend toward applied AI in solving real-world problems, particularly in sustainable agriculture and public health. His interdisciplinary collaborations reflect a strong emphasis on translating AI models into practical tools for farmers and clinicians.
Scientific Awards:
- World-first computing and artificial intelligence COVID-19 severity scoring study (Grant, May 2020)
Dr. Rahaman has been involved in significant grant-funded research, particularly in AI for healthcare. He collaborates extensively with researchers in viticulture, medicine, and agricultural technology. While no formal advisees are listed, his role in doctoral theses and datasets suggests mentoring and team leadership.
He is a key contributor to the Smart Wine Project, which developed an open image library for grapevine nutrient disorders, demonstrating his involvement in data-driven agricultural innovation.
