Eric Quan
Contact
weizhi.quan@student.unimelb.edu.au
Thesis title
AI and Anomaly Detection for Engineering Applications
Research overview
The research focuses on AI-based anomaly detection for engineering applications to support reliable and efficient monitoring of complex systems. Engineering data, including sensor measurements and time series, are analysed to identify abnormal behaviour and potential faults under changing operating conditions. The study will explore learning and reasoning methods, potentially including foundation models and agentic AI, to improve anomaly detection and provide contextual explanations of detected events. The proposed approaches aim to improve detection accuracy, reduce false alarms, and support timely maintenance and informed decision-making while reducing the need for manual monitoring.