Deterministic and stochastic analysis of distributed order systems using operational matrix. - Pham Luu Trung Duong; Moonyong Lee (CoRR, 2013)

Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach. - Pham Luu Trung Duong; Wahid Ali; Ezra Kwok; Moonyong Lee (Comput. Chem. Eng., 2016)

Uncertainty quantification in prognostics: A data driven polynomial chaos approach. - Pham Luu Trung Duong; Nagarajan Raghavan (ICPHM, 2017)

A metaheuristic approach to remaining useful life estimation of systems subject to multiple degradation mechanisms. - Pham Luu Trung Duong; Nagarajan Raghavan (ICPHM, 2017)

Application of multiplicative dimensional reduction method for uncertainty quantification and sensitivity analysis of MEMS electrostatic actuators. - Pham Luu Trung Duong; Trong Toan Tran; Nagarajan Raghavan (Microelectron. Reliab., 2017)

Application of expectation maximization and Kalman smoothing for prognosis of lumen maintenance life for light emitting diodes. - Pham Luu Trung Duong; Hyunseok Park; Nagarajan Raghavan (Microelectron. Reliab., 2018)

Application of multi-output Gaussian process regression for remaining useful life prediction of light emitting diodes. - Pham Luu Trung Duong; Hyunseok Park; Nagarajan Raghavan (Microelectron. Reliab., 2018)

Heuristic Kalman optimized particle filter for remaining useful life prediction of lithium-ion battery. - Pham Luu Trung Duong; Nagarajan Raghavan (Microelectron. Reliab., 2018)

Gaussian process regression approach for robust design and yield enhancement of self-assembled nanostructures. - Pham Luu Trung Duong; Xuechu Xu; Qing Yang 019; Nagarajan Raghavan (Microelectron. Reliab., 2018)

Measuring the reliability of a natural gas refrigeration plant: Uncertainty propagation and quantification with polynomial chaos expansion based sensitivity analysis. - Wahid Ali; Pham Luu Trung Duong; Mohd Shariq Khan; Mesfin Getu; Moonyong Lee (Reliab. Eng. Syst. Saf., 2018)

Data Driven Prognosis of Fracture Dynamics Using Tensor Train and Gaussian Process Regression. - Pham Luu Trung Duong; Shaista Hussain; Mark Hyunpong Jhon; Nagarajan Raghavan (IEEE Access, 2020)

Learning Localized Spatial Material Properties of Substrates in Ultra-Thin Packages Using Markov Chain Monte Carlo and Finite Element Analysis. - Cheryl Selvanayagam; Pham Luu Trung Duong; Nagarajan Raghavan (IEEE Access, 2020)

Bias Suppression Framework for Detrending Mean of Multi-Output Gaussian Process Regression in LED Remaining Storage Life Prognosis. - Lim Sze Li Harry; Pham Luu Trung Duong; Hyunseok Park; Nagarajan Raghavan (IEEE Access, 2021)

Inverse Design for Low Warpage Ultra-Thin Packages Using Constrained Particle Swarm Optimization. - Cheryl Selvanayagam; Pham Luu Trung Duong; Brett Wilkerson; Nagarajan Raghavan (IEEE Access, 2021)

Global Optimization of Surface Warpage for Inverse Design of Ultra-Thin Electronic Packages Using Tensor Train Decomposition. - Cheryl Selvanayagam; Pham Luu Trung Duong; Brett Wilkerson; Nagarajan Raghavan (IEEE Access, 2022)

Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression. - Umesh Kizhakkinan; Pham Luu Trung Duong; Robert Laskowski; Guglielmo Vastola; David W. Rosen; Nagarajan Raghavan (J. Intell. Manuf., 2023)

Second Life Prognostic for Li-Ion Battery: Cases of Missing Data with Polynomial Chaos and Time VAE. - Pham Luu Trung Duong; Nagarajan Raghavan (ICPHM, 2025)