Duong Pham
Singapore University of Technology and Design
H-index: 12
Asia-Singapore
Top articles of Duong Pham
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Development of a surrogate model for high-fidelity laser powder-bed fusion using tensor train and gaussian process regression | Journal of Intelligent Manufacturing | Umesh Kizhakkinan Pham Luu Trung Duong Robert Laskowski Guglielmo Vastola David W Rosen | 2023/1 |
Global optimization of surface warpage for inverse design of ultra-thin electronic packages using tensor train decomposition | IEEE Access | Cheryl Selvanayagam Pham Luu Trung Duong Brett Wilkerson Nagarajan Raghavan | 2022/4/25 |
Expedient validation of LED reliability with anomaly detection through multi-output Gaussian process regression | Microelectronics Reliability | Sze Li Harry Lim Pham Luu Trung Duong Hyunseok Park Nagarajan Raghavan | 2022/11/1 |
Bias suppression framework for detrending mean of multi-output gaussian process regression in LED remaining storage life prognosis | IEEE Access | Lim Sze Li Harry Pham Luu Trung Duong Hyunseok Park Nagarajan Raghavan | 2021/12/14 |
Molecular and serological characterization of hepatitis B virus (HBV)-positive samples with very low or undetectable levels of HBV surface antigen | Viruses | Mary C Kuhns Vera Holzmayer Mark Anderson Anne L McNamara Silvia Sauleda | 2021/10/13 |
Comparison of global optimization algorithms for inverse design of substrate metal density for low warpage design in ultra-thin packages | Cheryl Selvanayagam Pham Luu Trung Duong Brett Wilkerson Nagarajan Raghavan | 2021/6/1 | |
Inverse design for low warpage ultra-thin packages using constrained particle swarm optimization | IEEE Access | Cheryl Selvanayagam Pham Luu Trung Duong Brett Wilkerson Nagarajan Raghavan | 2021/4/9 |
Data driven prognosis of fracture dynamics using tensor train and Gaussian process regression | IEEE Access | Pham Luu Trung Duong Shaista Hussain Mark Hyunpong Jhon Nagarajan Raghavan | 2020/12/7 |
Learning localized spatial material properties of substrates in ultra-thin packages using Markov chain Monte Carlo and finite element analysis | IEEE Access | Cheryl Selvanayagam Pham Luu Trung Duong Nagarajan Raghavan | 2020/3/11 |
Assessing multi-output Gaussian process regression for modeling of non-monotonic degradation trends of light emitting diodes in storage | Microelectronics Reliability | SLH Lim PLT Duong H Park P Singh CM Tan | 2020/11/1 |
Tensor train decomposition for data-driven prognosis of fracture dynamics in composite materials | Pham Luu Trung Duong Nagarajan Raghavan Shaista Hussain Mark Hyunpong Jhon | 2020/3/7 | |
AI-assisted package design for improved warpage control of ultra-thin packages | Cheryl Selvanayagam Pham Luu Trung Duong Nagarajan Raghavan | 2020/7/5 | |
Inverse design of substrate from warpage surrogate model using global optimisation algorithms in ultra-thin packages | Cheryl Selvanayagam Pham Luu Trung Duong Nagarajan Raghavan | 2020/6/3 | |
Learning the stress-strain relationships of ultra-thin package materials using a Bayesian approach | Cheryl Selvanayagam Pham Luu Trung Duong Nagarajan Raghavan | 2020/6/3 | |
Exploration of multi-output Gaussian process regression for residual storage life prediction in lithium ion battery | Lim Sze Li Harry Pham Luu Trung Duong Nagarajan Raghavan | 2020/5/4 |
Co-Authors
