Bayesian Compressive Sensing for Site Characterization

Bayesian compressive sensing/sampling is a very efficient analytic and simulation method for modelling spatial geo-data from sparse measurements, to quantify reliability and uncertainty, and to optimize site characterization. This provides principles with software for graduate students, and geotechnical or environmental engineers.

Dr Yu Wang is a professor of geotechnical engineering at City University of Hong Kong, and an elected Fellow of American Society of Civil Engineers (ASCE).

Dr Tengyuan Zhao is an associate professor of geotechnical and geological engineering at Xi’an Jiaotong University, China

Dr Yue Hu is a postdoctoral Research Fellow at National University of Singapore

Dr. Zheng Guan is a research assistant professor at University of Macau and a Registered Geotechnical and Structural Engineer in China Professor

Kok-Kwang Phoon is Cheng Tsang Man Chair Professor and provost at Singapore University of Technology and Design (SUTD). He has twice won the American Society of Civil Engineers Norman Medal and is founding editor of the journal Georisk