MLRA 2021

Wroclaw, Poland, 15-17 March 2021

IMPORTANT DATES

 

Abstract submission 15 October 2020

Abstract acceptance 30 October 2020

Full paper submission 31 December 2020 

Welcome 

 

Technical Committee “Machine Learning and BigData TC309” together with “Engineering Practice of Risk Assessment & Management TC304” of the International Society for Soil Mechanics and Geotechnical Engineering (ISSMGE) are pleased to invite to

MACHINE LEARNING & RISK ASSESSMENT IN GEOENGINEERING

Joint International Symposium of Two Events 3ISMLG & TCWW

3rd International Symposium

on Machine Learning and Big Data in Geoscience

TC304 Workshop

on Risk Assessment in Geoengineering

 

Geotechnical engineering deals with more uncertainties (due to nature of materials, e.g. soil and rock) than other areas of civil and mechanical engineering. Modeling the behavior of such materials in geotechnical engineering applications is complex and sometimes beyond the ability of most traditional forms of physically-based engineering methods. In recent years, the application of statistical and machine learning (ML) techniques in a wide range of geotechnical engineering has grown rapidly, such as site characterization, geo-structure design and construction. The MLRA2021 joint conference under one umbrella aims to bring together researchers and engineers working in the field of Information Technology and Risk Assessment in Geosciences to discuss how progresses in the field of Big-Data and Machine Learning could impact engineering and research practices related to the natural hazards’ assessment and the quantification of variabilities and uncertainties.

Looking forward to meeting you in Wrocław, Poland on 15-17 March 2021 !

LOCATION:

Wrocław, Poland

Committees

CONFERENCE CHAIRS

Wojciech PUŁA, Wrocław University of Science and Technology, POLAND

Isam SHAHROUR, Lille University, FRANCE

Giovanna VESSIA, University “G.d’Annunzio” of Chieti-Pescara, ITALY

 

ORGANIZING COMMITTEE MEMBERS

Hanbing BIAN, Lille University, France

Andrzej DULSKI, Wrocław University of Science and Technology, POLAND

Marcin CHWAŁA, Wrocław University of Science and Technology, POLAND

Diego DI CURZIO, University “G.d’Annunzio” of Chieti-Pescara, ITALY

Marek KAWA, Wrocław University of Science and Technology, POLAND

Joanna PIECZYŃSKA-KOZŁOWSKA, Wrocław University of Science and Technology, POLAND

 

SCIENTIFIC COMMITTEE CHAIRS

Jianye CHING (TC304 Chairman) – National Taiwan University, TAIWAN

Zhongqiang LIU (TC309 Chairman) – Norwegian Geotechnical Institute, NORWAY

Kok Kwang PHOON – National University of Singapore, SINGAPORE

 

SCIENTIFIC COMMITTEE MEMBERS

Lars ANDERSEN, Norwegian Geotechnical Institute, NORWAY

Mark JAKSA, The University of Adelaide, AUSTRALIA

Hongwei HUANG, Tongji University, CHINA

Timo SCHWECKENDIEK – Delft University, NETHERLANDS

Ivan VANICEK Czech Technical University, Praque, CZECH REPUBLIC

Jie ZHANG (TC304 Secretary) Tongji University, Shanghai, CHINA

Dongming ZHANG (TC309 Secretary), CHINA 

Under the Auspieces of

TC304 Workshop on Risk Assessment in Geoengineering


PhD Summer School

Parallel to the MLRA2021 is going to be held the PhD summer school, which concerns the use of Big Data and Machine Learning in geosciences. It will include lectures concerning: role of data in engineering and research practices in geosciences, progresses used in data collection in geosciences, use of Big-Data and Machine Learning in problem solving, application of Big-Data and Machine Learning in geosciences. The summer school is based on lectures and discussions supported by movies and data concerning real smart infrastructures projects. Participants will work on group projects for the design of a “smart solution” for an urban infrastructure. More information soon on this website.

Contact

MLRA2021

Wrocław University of Science and Technology, POLAND

Faculty of Civil Engineering
Wybrzeże Wyspianskiego 27, 50-370 Wrocław

mlra2021@pwr.edu.pl

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