This presentation summarizes recent implementations of AI machine learning and more broadly information engineering in tunnel construction. The presentation first characterizes the current state of data and information availability in tunnel construction practice, describes the challenges needing to be solved using AI, and then summarizes numerous implementations on US projects where machine learning has been adopted to advance understanding and performance of TBMs.
CUIIC Academy Presents: AI and Information Engineering in Tunneling
September 18, 2025 2:00 pm
About the Speaker
Mike Mooney
Bruce E. Grewcock Chair Professor of Underground Construction & Tunneling - Colorado School of Mines
Mike is the Bruce E. Grewcock Chair Professor of Underground Construction & Tunneling at Colorado School of Mines. He is a member of the faculties of civil engineering and mechanical engineering, where he directs the Research Center for Underground as well as the post-graduate degree program in Underground Construction & Tunnel Engineering. Mike received his Bachelors in physics, a Masters in structural engineering and PhD in geotechnical engineering. Mike teaches a number of different subjects and pursues research in pressure balance TBM tunneling, large diameter liner behavior, AI and the digital underground, and prediction/control of ground and building deformation. Mike was elected to the US National Academy of Construction in 2024. Mike is a registered Professional Engineer and a consultant on numerous tunneling projects in the US and internationally.