Machine Learning for Construction and Infrastructure

The group conducts research on utilizing and developing data analytics techniques to better understand and solve complex problems in underground construction and infrastructure.

Please click on the images below to learn more about ongoing works


Automated NATM work progress identification


Measuring tunnel lining deformation with computer vision techniques

Modeling EPBM excavation processes using Bayesian Networks

 


Prediction and control of TBM trajectory


Supervised and unsupervised geologic interpretation during EPBM tunneling