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