Dr Kevin (Wen) Hang is an asset management professional with over 18 years of experience in the transport sector across China, the United States, and Australia. He holds a PhD in Transportation Planning and Management and has developed expertise spanning transport engineering, economics, and infrastructure asset management.
His academic and professional background supports rapid problem structuring, model development, and the application of advanced analytical approaches, including machine learning and AI-assisted modelling. Dr Hang is particularly recognised for his work in asset lifecycle modelling and risk-informed infrastructure decision-making.
Currently serving as Asset Lifecycle Manager at Sydney Trains, he focuses on improving asset management outcomes through whole-of-lifecycle modelling, data-driven planning, and the integration of engineering, environmental and operational datasets. His work has contributed to the development of innovative approaches to railway slope risk management and resilience planning.
At AMPEAK 2026, Dr Hang will present a case study demonstrating how machine learning and probabilistic cost-benefit analysis can support more effective prioritisation of slope stabilisation investments across large rail networks.