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Keynote Speakers


Lars Babendererde
Lars Babendererde
International Tunnelling and Underground Space Association (ITA), 1st Vice-President

Keynote Lecture:
Digitalisation in Tunnelling - Industry Organisation a Facilitator

Bio https://about.ita-aites.org/what-is-ita/executive-council/1206-mr-lars-babendererde
Günter Hofstetter
Günter Hofstetter
Dean of the Faculty of Engineering Sciences, Head of the Unit of Strength of Materials and Structural Analysis, Universität Innsbruck

Keynote Lecture:
Key features of constitutive models for the numerical simulation of deep tunnel advance by the NATM

Bio https://www.uibk.ac.at/bft/mitarbeiter/hofstetter.html.de
Mike Mooney



Mike Mooney
Colorado School of Mines, USA

Keynote Lecture:
Advances in Machine Learning Prediction of Earth Pressure Balance TBM Performance

Bio Mike is the Grewcock Chair Professor of Underground Construction & Tunneling at Colorado School of Mines. He directs the Center for Underground as well as the graduate degree program and online certificate in Underground Construction & Tunnel Engineering. Mike teaches courses in tunnel design and construction, support of excavations, and civil infrastructure engineering. His research involves pressure balance TBM tunneling, large diameter liner design, AI and the digital underground, and control of ground and building deformation. He has authored nearly 200 peer-reviewed publications. Mike serves on the executive board of the US Underground Construction Association. Mike is a registered Professional Engineer and a consultant on numerous tunneling projects in the US and internationally.

https://cee.mines.edu/project/mooney-michael/
Qianbing Zhang



Qianbing Zhang
Monash University, Australia

Keynote Lecture:
BIM for underground metro stations: interoperability and design-to-design enhancement

Bio Dr. Qianbing Zhang is a Senior Lecturer in Geomechanics & Tunnelling Engineering and an Australian Research Council (ARC) DECRA Fellow. He has been an Editor-in-Chief of Tunnelling and Underground Space Technology since 2019. His research focuses on the application of underground Building Information Modelling (BIM) and Machine Learning (ML) methodologies to Tunnel Boring Machines (TBM) and underground construction. His team is also focused on the development and application of experimental techniques and multiphysics computational tools to understand the progressive failure of geomaterials and structures under extreme conditions such as natural hazards and human-made disasters. He has co-authored nearly 100 peer-reviewed publications that have been cited over 3,000 times with an H-index 28. https://www.monash.edu/engineering/qianbingzhang/