What is he best known for?
The fields of study he is best known for:
- Statistics
- Geotechnical engineering
- Mathematical analysis
Geotechnical engineering, Statistics, Slope stability, Monte Carlo method and Slip are his primary areas of study.
His study in Geotechnical engineering is interdisciplinary in nature, drawing from both Soil science, Probability density function, Shear strength, Probabilistic logic and Reliability.
The various areas that he examines in his Statistics study include Chaotic and Slope failure.
His work focuses on many connections between Slope failure and other disciplines, such as Failure probability, that overlap with his field of interest in Mathematical optimization.
His Monte Carlo method research is multidisciplinary, incorporating perspectives in Finite element method, Standard penetration test, Serviceability, Computation and Hydraulic structure.
He combines subjects such as Numerical analysis and Random field with his study of Slip.
His most cited work include:
- Characterization of geotechnical variability (1171 citations)
- Evaluation of geotechnical property variability (439 citations)
- Convergence study of the truncated Karhunen-Loeve expansion for simulation of stochastic processes (248 citations)
What are the main themes of his work throughout his whole career to date?
Kok-Kwang Phoon spends much of his time researching Geotechnical engineering, Reliability, Finite element method, Structural engineering and Applied mathematics.
His Geotechnical engineering research is multidisciplinary, relying on both Reliability based design, Shear strength, Soil water, Spatial variability and Random field.
In his work, Slope stability is strongly intertwined with Slip, which is a subfield of Spatial variability.
His study with Reliability involves better knowledge in Statistics.
His research integrates issues of Discretization, Linear system, Mathematical analysis, Preconditioner and Biot number in his study of Finite element method.
In his study, Probabilistic logic is strongly linked to Mathematical optimization, which falls under the umbrella field of Applied mathematics.
He most often published in these fields:
- Geotechnical engineering (50.44%)
- Reliability (18.95%)
- Finite element method (13.70%)
What were the highlights of his more recent work (between 2016-2021)?
- Geotechnical engineering (50.44%)
- Spatial variability (9.62%)
- Bayesian probability (7.29%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Geotechnical engineering, Spatial variability, Bayesian probability, Probabilistic logic and Reliability.
Kok-Kwang Phoon works mostly in the field of Geotechnical engineering, limiting it down to topics relating to Reliability based design and, in certain cases, Axial symmetry.
The Spatial variability study combines topics in areas such as Trend function, Correlation, Random variable, Slip and Yield.
Kok-Kwang Phoon interconnects Probability distribution and Multivariate statistics in the investigation of issues within Bayesian probability.
His Probabilistic logic study combines topics from a wide range of disciplines, such as Characterization, Slope stability, Uncertainty quantification and Bayesian inference.
His study connects Reliability engineering and Reliability.
Between 2016 and 2021, his most popular works were:
- Role of reliability calculations in geotechnical design (53 citations)
- Direct simulation of random field samples from sparsely measured geotechnical data with consideration of uncertainty in interpretation (51 citations)
- Risk and Reliability in Geotechnical Engineering (47 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Geotechnical engineering
- Mathematical analysis
Kok-Kwang Phoon focuses on Geotechnical engineering, Reliability based design, Statistics, Probabilistic logic and Reliability.
Kok-Kwang Phoon has included themes like Mathematical analysis and Spatial variability in his Geotechnical engineering study.
Kok-Kwang Phoon has researched Reliability based design in several fields, including Slip and Axial symmetry.
His study in the field of Probability density function, Joint probability distribution and Bayesian probability also crosses realms of Natural.
His Probabilistic logic study combines topics in areas such as Slope failure, Random field theory, Generator, Interpretation and Random variate.
His Reliability study integrates concerns from other disciplines, such as Bridge, Structural engineering and Reliability engineering.
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