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Congratulations to Prof Yang Yaowen on Grant Award for AI Singapore Tech Challenge Programme
| Award No. | AISG2-TC-2021-001 |
| Project Title | Novel context-aware multivariate time series modelling for underground transportation infrastructure monitoring and management |
| Lead PI | Prof Yang Yaowen |
| Co-PIs | 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 |
| Description | 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. |
