Adolphus Lye

About

I am currently a post-doctorate research fellow at the Singapore Nuclear Research and Safety Initiatives based within the National University of Singapore. My research interest revolves around the domain of Uncertainty Quantification, specifically: 1) Stochastic model updating; 2) Imprecise probabilities; and 3) Probability Bounds Analysis (PBA) and their applications towards Structural/Reliability engineering, and currently Probabilistic Safety Assessment of Nuclear reactors.

Work

National University of Singapore
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Research Fellow

Singapore

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Chang Gung University
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Research Assistant

Taiwan (Province of China)

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National University of Singapore
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Intern/Research Assistant

Singapore

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Education

University of Liverpool
United Kingdom of Great Britain and Northern Ireland

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PGR

University of Liverpool
United Kingdom of Great Britain and Northern Ireland

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PhD in Risk & Uncertainty / Engineering

National University of Singapore
Singapore

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Bachelor of Science (with Honours)

Monash University
Australia

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Exchange Student

Publications

Physics-enhanced machine learning for probabilistic risk assessment in nuclear safety: An overview, recent developments, and perspectives

Published by

Annals of Nuclear Energy

Summary

journal-article

Advances in the Reliability Analysis of Coherent Systems under Limited Data with Confidence Boxes

Published by

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Summary

journal-article

An Overview of Probabilistic Safety Assessment for Nuclear Safety: What Has Been Done, and Where Do We Go from Here?

Published by

Journal of Nuclear Engineering

Summary

journal-article

An Overview of Probabilistic Safety Assessment for Nuclear Safety: What Has Been Done, and Where Do We Go from Here?

Published by

Journal of Nuclear Engineering

Summary

journal-article

Comparison between Distance Functions for Approximate Bayesian Computation to Perform Stochastic Model Updating and Model Validation under Limited Data

Published by

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering

Summary

journal-article

Data-Driven Bayesian Inference for Stochastic Model Identification of Nonlinear Aeroelastic Systems

Published by

AIAA Journal

Summary

journal-article

Sequential Ensemble Monte Carlo Sampler for On-Line Bayesian Inference of Time-Varying Parameter in Engineering Applications

Published by

ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg

Summary

journal-article

An Investigation into an Alternative Transition Criterion of the Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating

Published by

Proceeding of the 33rd European Safety and Reliability Conference

Summary

conference-paper

An Investigation into an Alternative Transition Criterion of the Transitional Markov Chain Monte Carlo Method for Bayesian Model Updating

Published by

European Safety and Reliability Conference

Summary

conference-paper

ROBUST PROBABILITY BOUNDS ANALYSIS FOR FAILURE ANALYSIS UNDER LACK OF DATA AND MODEL UNCERTAINTY

Published by

5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering

Summary

conference-paper

ROBUST PROBABILITY BOUNDS ANALYSIS FOR FAILURE ANALYSIS UNDER LACK OF DATA AND MODEL UNCERTAINTY

Published by

International Conference on Uncertainty Quantification in Computational Sciences and Engineering

Summary

conference-paper

Robust and Efficient Probabilistic Approaches towards Parameter Identification and Model Updating

Published by

University of Liverpool Repository

Summary

other

On-line Bayesian Model Updating and Model Selection of a Piece-wise model for the Creep-growth rate prediction of a Nuclear component

Published by

8th International Symposium on Reliability Engineering and Risk Management

Summary

conference-paper

On-line Bayesian Model Updating and Model Selection of a Piece-wise model for the Creep-growth rate prediction of a Nuclear component

Published by

International Symposium on Reliability Engineering and Risk Management

Summary

conference-paper

Probabilistic Artificial Intelligence Prediction of Material Properties for Nuclear Reactor Designs

Published by

32nd European Safety and Reliability Conference

Summary

conference-paper

An efficient and robust sampler for Bayesian inference: Transitional Ensemble Markov Chain Monte Carlo

Published by

Mechanical Systems and Signal Processing

Summary

journal-article

Robust optimization of a dynamic Black-box system under severe uncertainty: A distribution-free framework

Published by

Mechanical Systems and Signal Processing

Summary

journal-article

Probabilistic Artificial Intelligence Prediction of Material Properties for Nuclear Reactor Designs

Published by

European Safety and Reliability Conference

Summary

conference-paper

Identification of Time-varying Parameters using Variational Bayes -- Sequential Ensemble Monte Carlo Sampler

Published by

Proceedings of the 31st European Safety and Reliability Conference (ESREL 2021)

Summary

conference-paper

Identification of Time-varying Parameters using Variational Bayes -- Sequential Ensemble Monte Carlo Sampler

Published by

Proceedings of the European Safety and Reliability Conference

Summary

conference-paper

Sampling methods for solving Bayesian model updating problems: A tutorial

Published by

Mechanical Systems and Signal Processing

Summary

journal-article

Bayesian Model Updating of Reliability Parameters using Transitional Markov Chain Monte Carlo with Slice Sampling

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Proceedings of the 30th European Safety and Reliability Conference and 15th Probabilistic Safety Assessment and Management Conference

Summary

conference-paper

Bayesian Model Updating of Reliability Parameters using Transitional Markov Chain Monte Carlo with Slice Sampling

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Proceedings of the European Safety and Reliability Conference (ESREL)

Summary

conference-paper

UNCERTAINTY QUANTIFICATION OF OPTIMAL THRESHOLD FAILURE PROBABILITY FOR PREDICTIVE MAINTENANCE USING CONFIDENCE STRUCTURES

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Proceedings of the 3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019)

Summary

conference-paper

UNCERTAINTY QUANTIFICATION OF OPTIMAL THRESHOLD FAILURE PROBABILITY FOR PREDICTIVE MAINTENANCE USING CONFIDENCE STRUCTURES

Published by

International Conference on Uncertainty Quantification in Computational Sciences and Engineering

Summary

conference-paper

Conversion of Fault Tree into Credal Network for Probabilistic Safety Assessment of a Nuclear Power Plant

Published by

Proceedings of the 3rd International Conference on Nuclear Power Plants

Summary

conference-paper

A Review of Stochastic Sampling Methods for Bayesian Inference Problems

Published by

Proceedings of the 29th European Safety and Reliability Conference (ESREL)

Summary

conference-paper

A Review of Stochastic Sampling Methods for Bayesian Inference Problems

Published by

Proceedings of the European Safety and Reliability Conference (ESREL)

Summary

conference-paper