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October 16th, 2023
Dr. Ze Zhou Wang delivered an invited seminar at the University of Texas at Austin.
Dr. Wang discussed how data from over 20,000 geotechnical boreholes in Singapore was used to develop machine-learning architecture to reconstruct subsurface stratigraphy. Additionally, the developed framework can handle new geotechnical data and allows for explicit 1D to 3D modeling, uncertainty quantification, and visualization. The software also has the potential to be used in applications such as tunneling, geothermal applications, and assessing geo-hazards.
October 13th, 2023
Dr. Ze Zhou Wang delivered an invited seminar at Princeton University.
Dr. Wang discussed how data from over 20,000 geotechnical boreholes in Singapore was used to develop machine-learning architecture to reconstruct subsurface stratigraphy. Additionally, the developed framework can handle new geotechnical data and allows for explicit 1D to 3D modeling, uncertainty quantification, and visualization. The software also has the potential to be used in applications such as tunneling, geothermal applications, and assessing geo-hazards.
June 15th, 2023
Dr. Ze Zhou Wang was awarded the Marie Skłodowska-Curie Fellowship and joined the University of Cambridge.
December 15th, 2023
Dr. Ze Zhou Wang won the best student paper award at the 8th International Symposium for Geotechnical Safety & Risk, Newcastle, Australia.
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