معرفی
Dr. Weitong Chen is a Senior Lecturer at the School of Computer and Mathematical Sciences, University of Adelaide, and an ARC EC Industry Fellow at the Australian Institute for Machine Learning (AIML). He holds a PhD from the University of Queensland (2020), with prior roles as a Post-Doc Research Fellow and Associate Lecturer there. His research focuses on machine learning applications in medical data, particularly time-series analysis, semi-supervised learning, and IoT. He collaborates widely across academia, industry, and government, supported by multiple grants. His work emphasizes healthcare applications, adversarial robustness, federated learning, and unlearning mechanisms.
Education:
- PhD in Machine Learning, University of Queensland (2020)
- Master's Degree, University of Queensland
- Bachelor's Degree, Griffith University
Research Interests:
- Medical Data Analysis (e.g., EHRs, radiology)
- Time-Series Modeling (healthcare IoT, irregular data)
- Adversarial Machine Learning (backdoor attacks, robustness)
- Federated Learning (modality incompleteness, clustered frameworks)
- Data Privacy (unlearning, compliance)
Grants & Collaborations:
- ARC EC Industry Fellowship
- Industry partnerships in healthcare and IoT
Labs/Teams:
- Australian Institute for Machine Learning (AIML)
- Cross-disciplinary health tech collaborations
