Machine Learning in Geohazard Risk Prediction and Assessment: From Microscale Analysis to Regional Mapping - Tapa blanda

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Biswajeet Pradhan is a distinguished professor at the School of Civil and Environmental Engineering, University of Technology Sydney, Australia. He is an international expert in data-driven modeling and a pioneer in combining spatial modeling with statistical and machine learning models for natural hazard predictions, including landslides. He has a strong research record, with more than 600 journal articles. He is an interdisciplinary researcher whose publications span multiple research areas, including geological and geo-environmental engineering.

Daichao Sheng is a distinguished professor and the head of School of Civil and Environmental Engineering. He has developed an internationally recognized profile in computational geomechanics including soft computing, unsaturated soils, geo-risk analysis and transport geotechnics. He has published 300+ peer-reviewed papers and two books, including 200+ papers in top geotechnical and computational mechanics journals. These publications now attract 1400+ citations per annum, with an H-Index of 48 in Scopus. His track record places him easily within the top handful of geomechanics professionals of his age worldwide. He has collaborated widely with Australian and international researchers in his field

Xuzhen He is a senior lecturer at UTS School of Civil and Environmental Engineering. He is an early career researcher and completed his undergraduate and PhD training at the world’s top universities (Tsinghua for his BSc and Cambridge for his PhD) and was awarded the John Winbolt Prize and the Raymond and Helen Kwok Scholarship from Cambridge University. He was awarded the Australian Research Council Discovery Early Career Researcher Award in 2021. His research interest lies mainly in computational geomechanics, and he has published 30+ high-quality journal papers in these areas.