Mini-symposium on Machine Learning and Big Data in Geotechnics

Call for contributions,

We would like to invite you to submit a contribution for our half a day Mini-symposium on “Machine Learning in Geotechnics” to be held during the 3rd International Conference on Information Technology in Geo-Engineering organized by University of Minho and Portuguese Geotechnical Society under the auspices of the Joint Technical Committee 2 (JTC2) on Representation of Geo-Engineering Data of the Federation of International Geo-Engineering Societies (FedIGS) in Guimarães, Portugal in 29 September – 2 October, 2019. Details of the conference can be found in the conference website: http://www.3rd-icitg2019.civil.uminho.pt/.

This Mini-symposium will discuss the challenges, opportunities, and trends related to the adoption of Machine Learning & Big Data in Geotechnics research and industrial workflows. Topics relevant to the Mini-Symposium include, but are not limited to, analytical and numerical developments for:

• machine learning methods for inverse problem analysis • machine learning methods for simulation of stochastic processes • machine learning methods for the random field modeling of heterogeneous geomaterials • machine learning for visualization of uncertainty • big data and cloud computing analytics for the management of large scale geo-

applications • Bayesian methods to improve Geo- engineering and scientific decision-making • Risk assessment and management via machine learning and big data

The deadline for submission of abstracts is September 30, 2018.

The session is intended to be a small-scale, but high-quality and single-track event focussing on the promotion, dissemination and exchange of knowledge and ideas through discussions. We would appreciate it if you confirm with us at your earliest convenience your willingness to contribute to this mini-symposium. Please be reminded to submit the abstract by the deadline of September 30, 2018 to the conference website and also notify us by sending a copy of the abstract to either one of the session organizers.

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The organizers aim is that papers presented at this session will be invited to submit their extended versions for consideration of a special journal publication (TBD).

We hope that you will be able to participate in this session and look forward to hearing from you.

With Regards, Mini-symposium Organizers:

Dr. Zhongqiang Liu, Norwegian Geotechnical Institute, Norway Email: zhongqiang.liu@ngi.no

Dr. Mohammad Rezania, University of Warwick, UK Email:m.rezania@warwick.ac.uk

Dr. Zenon Medina-Cetina, Texas A&M University, USA Email: zenon@tamu.edu

Dr Zhongqiang Liu is a Senior Advisor in the Natural Hazard area at Nowegian Geotechnical Institute in Norway. His main research interests are geotechnical uncertainty quantification, inherent spatial variability of soils and Bayesian updating of geotechnical systems. He is currently the chair of the ISSMGE TC309 on Machine Learning and Big Data.

Dr Mohammad Rezania is an Associate Professor in Geotechnical Engineering at the University of Warwick in the UK. His main research interests are modelling geomaterials behaviour with the aim of better understanding and predicting the stability of natural geological deposits and/or man-made infrastructure, application of artificial intelligence methods in applied geotechnics and integrated theoretical and experimental modelling of soils and rocks’ behaviour. He has acted as the organising committee member of a number of national and international conferences and is the vice-chair of the ISSMGE TC309 on Machine Learning and Big Data.

Dr. Zenon Medina-Cetina is Associate Professor in the Zachry Department of Civil Engineering at Texas A&M University, where he is the Director of the Stochastic Geomechanics Laboratory SGL. His main research and consulting interests focus in the development of Risk-based decision-making methods by the use of Bayesian inference. In TAMU he holds joint appointments in the Departments of Petroleum and Ocean Engineering, and in the Department of Geography. He is President and Chair of the Society for Underwater Technology SUT in the US, and a SUT Fellow; and Secretary of the TC309 on Machine Learning and Big Data for the ISSMGE.