Applications of Artificial Intelligence in Geotechnical Engineering
Prof Mark Jaksa
Given the variable nature of soils, and the uncertainties associated with sampling, testing and modelling, geotechnical engineering is particularly amenable to the application of artificial intelligence. The presentation will provide an overview of artificial intelligence methods and focus particularly on artificial neural networks and genetic algorithms, and their application to a range of geotechnical engineering problems. The presentation will provide a background to these techniques and discuss their benefits and limitations. A series a case studies will also be presented to highlight the power and versatility of artificial intelligence.
About the speaker
Mark Jaksa is Professor of Geotechnical Engineering in the School of Civil, Environmental and Mining Engineering at the University of Adelaide, Australia. He has been an academic for more than 30 years, before which, he spent 4 years practising as a consulting geotechnical and civil engineer in Adelaide and Canberra in Australia. He has a Bachelor of Engineering (Honours) degree in Civil Engineering and a PhD, both from the University of Adelaide.
He has published more than 200 papers, chapters and reports on various aspects of geotechnical engineering research and teaching. His primary areas of expertise are in the characterisation of the spatial variability of soils, probabilistic analyses, artificial intelligence, ground improvement, unsaturated soils and enhancing learning in geotechnical engineering. He has received several awards recognising his contributions to learning and teaching in geotechnical engineering.
Mark is a former Chair of the Australian Geomechanics Society and immediate past Vice-President for Australasia and Treasurer of the International Society for Soil Mechanics and Geotechnical Engineering. He is also a past Chair of the ISSMGE’s Technical Committee, TC306, on Geo-engineering Education and a member of TC304, on Risk Assessment and Management.
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