معرفی
Dr. Noorul Amin is a Postdoctoral Research Fellow at the School of Veterinary Science, The University of Queensland, affiliated with the SAAFE CRC's data analytics program. His research focuses on computational approaches to biological challenges, including omics data analysis, antimicrobial resistance, and machine learning applications in agribusiness and environmental systems.
Education:
- Masters (Research) of Computer Engineering, Kyung Hee University
- Doctor of Philosophy of Computer Science, La Trobe University
Research Focus: His work integrates machine learning, cloud computing, and big data analytics to address biological problems, with emphasis on antimicrobial resistance pathways, omics tool development, and computational genomics. Primary domains include bioinformatics, non-coding RNA classification, and single-cell sequencing methodologies.
Publication Trends: Recent articles (2019-2025) predominantly explore machine learning in genomics and non-coding RNA analysis, with emerging focus on single-cell sequencing technologies and antimicrobial resistance mechanisms. Earlier work (2014-2017) centered on computational algorithms for graph theory and sensor networks.
Student Advising & Projects: Actively seeking Honours and PhD candidates for projects including:
- AMR Digital Twin: Machine learning framework for antimicrobial risk assessment
- Semantic interoperability for OneHealth antimicrobial data integration
- AI-powered knowledge graphs for agricultural optimization
- Self-evolving ontology systems for cross-sectoral antimicrobial resistance analysis
Collaborations: Contributes to the SAAFE CRC's mission through data analytics program initiatives, collaborating with interdisciplinary teams on food security and environmental health challenges.
