Nam Dinh

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 16

Top Topics

Risk Assessment

Defect Classification

Top Venues

Reliab. Eng. Syst. Saf.

Publications

Longcong Wang, Linyu Lin, Nam Dinh
Trustworthiness modeling and evaluation for a nearly autonomous management and control system. Reliab. Eng. Syst. Saf. 245 (2024)
Edward Chen, Han Bao, Nam Dinh
Evaluating the reliability of machine-learning-based predictions used in nuclear power plant instrumentation and control systems. Reliab. Eng. Syst. Saf. 250 (2024)
Edward Chen, Han Bao, Nam Dinh
Dynamic Model Agnostic Reliability Evaluation of Machine-Learning Methods Integrated in Instrumentation & Control Systems. CoRR (2023)
Edward Chen, Han Bao, Tate Shorthill, Carl Elks, Nam Dinh
Failure Mechanism Traceability and Application in Human System Interface of Nuclear Power Plants using RESHA. CoRR (2022)
Edward Chen, Han Bao, Tate Shorthill, Carl R. Elks, Athira Varma Jayakumar, Nam Dinh
Application of Orthogonal Defect Classification for Software Reliability Analysis. CoRR (2022)
Edward Chen, Han Bao, Tate Shorthill, Hongbin Zhang, Nam Dinh
Systems-theoretic Hazard Analysis of Digital Human-System Interface Relevant to Reactor Trip. CoRR (2022)
Yang Liu, Dewei Wang, Xiaodong Sun, Yang Liu, Nam Dinh, Rui Hu
Uncertainty quantification for Multiphase-CFD simulations of bubbly flows: a machine learning-based Bayesian approach supported by high-resolution experiments. Reliab. Eng. Syst. Saf. 212 (2021)
Linyu Lin, Han Bao, Nam Dinh
Uncertainty Quantification and Software Risk Analysis for Digital Twins in the Nearly Autonomous Management and Control Systems: A Review. CoRR (2021)
Linyu Lin, Paridhi Athe, Pascal Rouxelin, Maria Avramova, Abhinav Gupta, Robert Youngblood, Nam Dinh
Digital-Twin-Based Improvements to Diagnosis, Prognosis, Strategy Assessment, and Discrepancy Checking in a Nearly Autonomous Management and Control System. CoRR (2021)
Linyu Lin, Nam Dinh
Predictive Capability Maturity Quantification using Bayesian Network. CoRR (2020)
Saran Srikanth Bodda, Abhinav Gupta, Nam Dinh
Enhancement of risk informed validation framework for external hazard scenario. Reliab. Eng. Syst. Saf. 204 (2020)
Han Bao, Nam Dinh, Linyu Lin, Robert Youngblood, Jeffrey Lane, Hongbin Zhang
Using Deep Learning to Explore Local Physical Similarity for Global-scale Bridging in Thermal-hydraulic Simulation. CoRR (2020)
Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang
Deep Learning Interfacial Momentum Closures in Coarse-Mesh CFD Two-Phase Flow Simulation Using Validation Data. CoRR (2020)
Han Bao, Jinyong Feng, Nam Dinh, Hongbin Zhang
Computationally Efficient CFD Prediction of Bubbly Flow using Physics-Guided Deep Learning. CoRR (2019)
Shinyoung Kwag, Abhinav Gupta, Nam Dinh
Probabilistic risk assessment based model validation method using Bayesian network. Reliab. Eng. Syst. Saf. 169 (2018)
Yang Liu, Nam Dinh, Yohei Sato, Bojan Niceno
Data-driven modeling for boiling heat transfer: using deep neural networks and high-fidelity simulation results. CoRR (2018)
Hong Luo, Luqing Luo, Robert R. Nourgaliev, Vincent Mousseau, Nam Dinh
A reconstructed discontinuous Galerkin method for the compressible Navier-Stokes equations on arbitrary grids. J. Comput. Phys. 229 (19) (2010)