Author

Akihiro Umezawa

City University of Hong Kong - Cited by 7,666 - Analytic of geo-data - Geotechnical risk and reliability - Probabilistic site characterization - Soil-structure interaction

Biography

Akihiro Umezawa was born in 1965 in Bavaria, Germany. After studies of Chemistry with the focus on spectroscopic methods he did his PhD in Biophysics investigating the degradation of polysaccharides by reactive oxygen species (ROS). Currently, he is the leader of a working group at the Medical Faculty of the Leipzig University. His research focus is on (phospho)lipids, their role in different pathologies and the investigation of lipid oxidation products generated under inflammatory conditions by using NMR, mass spectrometry and chromatographic techniques.
Title
Cited by
Year
Probabilistic simulation of entire process of rainfall-induced landslides using random finite element and material point methods with hydro-mechanical coupling
X Liu, Y WangComputers and Geotechnics 132, 103989, 2021202
38
2021
Development of Subsurface Geological Cross-Section from Limited Site-Specific Boreholes and Prior Geological Knowledge Using Iterative Convolution XGBoost
C Shi, Y WangJournal of Geotechnical and Geoenvironmental Engineering 147 (9), 04021082, 2021202
37
2021
Non-parametric modelling and simulation of spatiotemporally varying geo-data
Y Wang, Y Hu, KK PhoonGeorisk: Assessment and Management of Risk for Engineered Systems and …, 2021202
25
2021
CPT-based probabilistic liquefaction assessment considering soil spatial variability, interpolation uncertainty and model uncertainty
Z Guan, Y WangComputers and Geotechnics 141, 104504, 2022202
18
2022
Data-driven construction of Three-dimensional subsurface geological models from limited Site-specific boreholes and prior geological knowledge for underground digital twin
C Shi, Y WangTunnelling and Underground Space Technology 126, 104493, 2022202
18
2022
Statistical interpolation of spatially varying but sparsely measured 3D geo-data using compressive sensing and variational bayesian inference
T Zhao, Y WangMathematical Geosciences 53 (6), 11-1199, 2021202
17
2021
Machine learning of geological details from borehole logs for development of high-resolution subsurface geological cross-section and geotechnical analysis
Y Wang, C Shi, X LiGeorisk: Assessment and Management of Risk for Engineered Systems and …, 2021202
16
2021
An active learning reliability analysis method using adaptive Bayesian compressive sensing and Monte Carlo Simulation (ABCS-MCS)
P Li, Y WangReliability Engineering & System Safety, 108377, 2022202
15
2022
Probabilistic characterisation of uniaxial compressive strength of rock using test results from multiple types of punch tests
AE Aladejare, VO Akeju, Y WangGeorisk: Assessment and Management of Risk for Engineered Systems and …, 2021202
15
2021
Data-driven determination of sample number and efficient sampling locations for geotechnical site investigation of a cross-section using Voronoi diagram and Bayesian …
Y Wang, P LiComputers and Geotechnics 0, 103898, 2021202
13
2021
Bayesian selection of slope hydraulic model and identification of model parameters using monitoring data and subset simulation
X Liu, Y WangComputers and Geotechnics 139, 104428, 2021202
12
2021
Interpolation of extremely sparse geo-data by data fusion and collaborative Bayesian compressive sampling
J Xu, Y Wang, L ZhangComputers and Geotechnics 134, 104098, 2021202
12
2021
Non-parametric construction of site-specific non-Gaussian multivariate joint probability distribution from sparse measurements
Z Guan, Y WangStructural Safety 91, 2077, 2021202
10
2021
Joint kinematics and sealing capacity assessment of ductile iron pipes under abrupt transverse ground movements
X Qin, Y Wang, C FuCanadian Geotechnical Journal 99 (999), 1-17, 2022202
10
2022
Efficient CPT locations for characterizing spatial variability of soil properties within a multilayer vertical cross-section using information entropy and Bayesian compressive …
T Zhao, Y Wang, L XuComputers and Geotechnics 137, 4260, 2021202
10
2021
Training image selection for development of subsurface geological cross-section by conditional simulations
C Shi, Y WangEngineering Geology 25, 106415, 2021202
9
2021
Assessment of Reclamation-induced Consolidation Settlement Considering Stratigraphic Uncertainty and Spatial Variability of Soil Properties
C Shi, Y WangCanadian Geotechnical Journal, 2021202
9
2021
Development of an Efficient Response Surface Method for Highly Nonlinear Systems from Sparse Sampling Data Using Bayesian Compressive Sensing
P Li, Y WangASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A …, 2021202
9
2021
Delineating the spatial distribution of soil liquefaction potential in a cross-section from limited cone penetration tests
Z Guan, Y Wang, T ZhaoSoil Dynamics and Earthquake Engineering 145, 106710, 2021202
9
2021
Adaptive sampling strategy for characterizing spatial distribution of soil liquefaction potential using cone penetration test
Z Guan, Y Wang, T ZhaoJournal of Rock Mechanics and Geotechnical Engineering, 2022202
8
2022

Referred From: https://scholar.google.com/citations?user=u3pJsxcAAAAJ&hl=en

Cited by
Citations 7666
h-index 48
i10-index 128
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