PhD position (IA + Geophysics): Pipeline leak detection using electromagnetic scanning powered by distributed AI (LEAK-SCAN)

Topic description

The future PhD student will be registered at ENSAM (École nationale supérieure d'arts et métiers ).

Research Work

Scientific Context

Water leakage in urban underground pipelines can not only bring economic loss due to the wastage, but also can lead to structural damages of roads and buildings, which brings severe problems in the city infrastructure management. Addressing these issues requires efficient detection to minimize the impact on public safety. There are several methods for detecting water leaks, such as pressure/flow sensors or fiber optics, but they require sensors to be installed in advance. To complete the existing techniques, in this study, we will explore the application of ground penetrating radar (GPR) to detect underground water leakage, because GPR is non-destructive and high-efficient way.

Thesis Objective

This thesis aims to detect water leakages without the need for excavation based on rad...