Published on 02 Jun 2022

Congratulations to Prof Yang Yaowen on Grant Award for AI Singapore Tech Challenge Programme


Award No.AISG2-TC-2021-001
Project TitleNovel context-aware multivariate time series modelling for underground transportation infrastructure monitoring and management
Lead PI

Prof Yang Yaowen


Prof Cong Gao (SCSE)

Assistant Prof Fu Yuguang (CEE)

Host Institution

Nanyang Technological University (NTU)

Industry Partners

Land Transport Authority (LTA)

KAJIMA Technical Research Institute Singapore


The project aims to develop and implement novel AI techniques on smart sensing systems to address an unmet need in the transport sector for a scalable and effective means to detect, diagnose and predict potential faults in high-risk underground transportation infrastructure.

The proposed solution will provide actionable information regarding accurate and reliable detection and prognosis of potential faults in large-scale tunnel networks. It will also enable real-time monitoring and condition assessment of tunnels, enhancing the overall safety, efficiency, and disaster resilience of Singapore’s underground tunnel network leading to prolonged service life.