Deutsche Welle, Germany’s international broadcaster, has featured CIN’s Technical Director, Distinguished Professor Jay Guo, in a recent episode of Shift – Living in the Digital Age.

The episode, titled “Using Tech and AI to Cope with Extreme Weather,” explores innovative approaches to climate resilience. In the feature, Professor Guo explains how Network Sensing — a technology that uses 5G signal variations to detect changes in the environment — can be used to monitor and forecast flooding in real time. The research featured was conducted by the TPG-UTS Network Sensing Lab, which Professor Guo leads.

“When there is rainfall or water level change, the [5G] signal will be different. By analysing those signal changes, we can obtain the information about flooding and rainfall,” — Distinguished Professor Jay Guo

Network Sensing technology is currently being explored through CIN’s Sensing for Disasters Project, delivered in collaboration with the NSW Smart Sensing Network (NSSN). This initiative is dedicated to developing technologies that improve real-time disaster detection and forecasting by leveraging AI, IoT, and advanced sensing systems.