Area of research
Safety, Risk, Reliability and Quality · Civil and Structural Engineering
Research interest
Research interests include Geotechnical engineering, Reliability (semiconductor), Mathematics, Computer science, Multivariate statistics, and Probabilistic logic.
Multivariate copula-based framework for stochastic analysis of landslide runout distance
Experimental study of the coupling effect on segmental shield tunnel lining under surcharge loading and excavation unloading
Improved coupled Markov chain method for simulating geological uncertainty
Editorial for Advances and applications of deep learning and soft computing in geotechnical underground engineering
On the importance of landslide management: Insights from a 32-year database of landslide consequences and rainfall in Hong Kong
Quasi-site-specific soil property prediction using a cluster-based hierarchical Bayesian model
Challenges in data-driven site characterization
Novel approach to estimate vertical scale of fluctuation based on CPT data using convolutional neural networks
Quantitative evaluation of geological uncertainty and its influence on tunnel structural performance using improved coupled Markov chain
Deep learning-based evaluation of factor of safety with confidence interval for tunnel deformation in spatially variable soil
Hybrid machine learning model with random field and limited CPT data to quantify horizontal scale of fluctuation of soil spatial variability
Closed-form solution for excavation-induced ground settlement profile in clay
Three-dimensional subsurface modeling using Geotechnical Lasso
Scale of Fluctuation for Spatially Varying Soils: Estimation Methods and Values
Constructing a Site-Specific Multivariate Probability Distribution Using Sparse, Incomplete, and Spatially Variable (MUSIC-X) Data
Bayesian estimation of spatially varying soil parameters with spatiotemporal monitoring data
3D Probabilistic Site Characterization by Sparse Bayesian Learning
Multivariate probability distribution of Shanghai clay properties
Characterisation of geotechnical model uncertainty
The story of statistics in geotechnical engineering
Identification of sample path smoothness in soil spatial variability
Managing Risk in Geotechnical Engineering – From Data to Digitalization
Constructing Site-Specific Multivariate Probability Distribution Model Using Bayesian Machine Learning
Bayesian identification of soil stratigraphy based on soil behaviour type index
Simulation of Random Fields with Trend from Sparse Measurements without Detrending
Impact of Autocorrelation Function Model on the Probability of Failure
Characterizing Uncertain Site-Specific Trend Function by Sparse Bayesian Learning
Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation
Reliability evaluation of slope considering geological uncertainty and inherent variability of soil parameters
System reliability analysis of slope stability using generalized Subset Simulation