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ORCIDPham Luu Trung Duong
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2020 – today
- 2023
[j13]Umesh Kizhakkinan
, Pham Luu Trung Duong, Robert Laskowski, Guglielmo Vastola, David W. Rosen, Nagarajan Raghavan:
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression. J. Intell. Manuf. 34(1): 369-385 (2023)- 2022
- [j12]Cheryl Selvanayagam, Pham Luu Trung Duong, Brett Wilkerson, Nagarajan Raghavan:
Global Optimization of Surface Warpage for Inverse Design of Ultra-Thin Electronic Packages Using Tensor Train Decomposition. IEEE Access 10: 48589-48602 (2022) - 2021
- [j11]Cheryl Selvanayagam, Pham Luu Trung Duong, Brett Wilkerson, Nagarajan Raghavan:
Inverse Design for Low Warpage Ultra-Thin Packages Using Constrained Particle Swarm Optimization. IEEE Access 9: 64043-64053 (2021) - [j10]Lim Sze Li Harry, Pham Luu Trung Duong, Hyunseok Park, Nagarajan Raghavan:
Bias Suppression Framework for Detrending Mean of Multi-Output Gaussian Process Regression in LED Remaining Storage Life Prognosis. IEEE Access 9: 166639-166657 (2021) - 2020
- [j9]Cheryl Selvanayagam, Pham Luu Trung Duong, Nagarajan Raghavan:
Learning Localized Spatial Material Properties of Substrates in Ultra-Thin Packages Using Markov Chain Monte Carlo and Finite Element Analysis. IEEE Access 8: 50163-50170 (2020) - [j8]Pham Luu Trung Duong, Shaista Hussain, Mark Hyunpong Jhon, Nagarajan Raghavan:
Data Driven Prognosis of Fracture Dynamics Using Tensor Train and Gaussian Process Regression. IEEE Access 8: 222256-222266 (2020)
2010 – 2019
- 2018
- [j7]Pham Luu Trung Duong, Nagarajan Raghavan:
Heuristic Kalman optimized particle filter for remaining useful life prediction of lithium-ion battery. Microelectron. Reliab. 81: 232-243 (2018) - [j6]Pham Luu Trung Duong, Hyunseok Park, Nagarajan Raghavan:
Application of expectation maximization and Kalman smoothing for prognosis of lumen maintenance life for light emitting diodes. Microelectron. Reliab. 87: 206-212 (2018) - [j5]Pham Luu Trung Duong, Hyunseok Park, Nagarajan Raghavan:
Application of multi-output Gaussian process regression for remaining useful life prediction of light emitting diodes. Microelectron. Reliab. 88-90: 80-84 (2018) - [j4]Pham Luu Trung Duong, Xuechu Xu, Qing Yang, Nagarajan Raghavan:
Gaussian process regression approach for robust design and yield enhancement of self-assembled nanostructures. Microelectron. Reliab. 88-90: 85-90 (2018) - [j3]Wahid Ali, Pham Luu Trung Duong, Mohd Shariq Khan, Mesfin Getu, Moonyong Lee:
Measuring the reliability of a natural gas refrigeration plant: Uncertainty propagation and quantification with polynomial chaos expansion based sensitivity analysis. Reliab. Eng. Syst. Saf. 172: 103-117 (2018) - 2017
- [j2]Pham Luu Trung Duong, Trong Toan Tran, Nagarajan Raghavan:
Application of multiplicative dimensional reduction method for uncertainty quantification and sensitivity analysis of MEMS electrostatic actuators. Microelectron. Reliab. 76-77: 619-625 (2017) - [c2]Pham Luu Trung Duong, Nagarajan Raghavan:
Uncertainty quantification in prognostics: A data driven polynomial chaos approach. ICPHM 2017: 135-142 - [c1]Pham Luu Trung Duong, Nagarajan Raghavan:
A metaheuristic approach to remaining useful life estimation of systems subject to multiple degradation mechanisms. ICPHM 2017: 227-233 - 2016
- [j1]Pham Luu Trung Duong, Wahid Ali, Ezra Kwok, Moonyong Lee:
Uncertainty quantification and global sensitivity analysis of complex chemical process using a generalized polynomial chaos approach. Comput. Chem. Eng. 90: 23-30 (2016) - 2013
- [i1]Pham Luu Trung Duong, Moonyong Lee:
Deterministic and stochastic analysis of distributed order systems using operational matrix. CoRR abs/1312.3048 (2013)
Coauthor Index
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