معرفی
Dr. Kexuan Xin is a Research Fellow at the Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University. She holds a PhD in Computer Science from the University of Queensland (2023), Master's in Computer Science from the University of Queensland (2018), and Bachelor's in Information Engineering from South China University of Technology (2016). Her research focuses on knowledge graphs, natural language processing, and large language models with applications in bioinformatics and health informatics. She conducted postdoctoral research at UIUC collaborating with the biology department, applying NLP techniques to biological domain challenges.
Education:
- PhD in Computer Science, University of Queensland (2018–2023)
- MSc in Computer Science, University of Queensland (2017–2018)
- BEng in Information Engineering, South China University of Technology (2012–2016)
Research Interests:
- Knowledge graph construction and alignment
- NLP applications in biomedical domains
- Entity alignment and disambiguation
- Temporal knowledge graph modeling
- AI-driven health informatics systems
Recent Research Trends: Her work spans advancements in entity alignment techniques (e.g., TEA: time-aware entity alignment), bioinformatics applications (gene-metabolite prediction), and AI coaching systems for occupational safety. Her publications reflect expertise in scalable KG integration, graph embeddings, and context-aware modeling.
Awards:
- Dean’s Award for Outstanding HDR Theses (2023)
- Best Paper Nomination at PERSUASIVE 2025
- Dean’s Commendation for Academic Excellence (2017)
- Best Project Award (2017)
Collaborations & Projects: Leads the Fujitsu Macquarie AI Research Lab (2023–2027), focusing on AI applications in health and technology. Actively collaborates across disciplines, including biology and urban informatics.
