Publications
Recent Highlights
Image-based study on fatigue crack initiation mechanism of Ti-6Al-4V fabricated by laser-based powder bed fusion
Additive Manufacturing
·
Apr 2024
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
Proceedings of the National Academy of Sciences
·
Nov 2023
Multi-fidelity Data Aggregation using Convolutional Neural Networks
Computer Methods in Applied Mechanics and Engineering
·
Mar 2022
Probabilistic physics-guided machine learning for fatigue data analysis
Expert Systems with Applications
·
Apr 2021
All
2025
Uncertainty quantification driven machine learning for improving model accuracy in imbalanced regression tasks
Expert Systems with Applications
·
Feb 2025
2024
Towards a digital twin framework in additive manufacturing: Machine learning and bayesian optimization for time series process optimization
Journal of Manufacturing Systems
·
Aug 2024
Learning Molecular Mixture Property Using Chemistry-Aware Graph Neural Network
PRX Energy
·
Jun 2024
Data-driven approaches for fatigue prediction of Ti–6Al–4V parts fabricated by laser powder bed fusion
International Journal of Fatigue
·
May 2024
Image-based study on fatigue crack initiation mechanism of Ti-6Al-4V fabricated by laser-based powder bed fusion
Additive Manufacturing
·
Apr 2024
Tire Life Assessment for Increasing Re‐Manufacturing of Commercial Vehicle Tires
Technology Innovation for the Circular Economy
·
Jan 2024
2023
A Machine Learning–Based Tire Life Prediction Framework for Increasing Life of Commercial Vehicle Tires
Journal of Mechanical Design
·
Nov 2023
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
Proceedings of the National Academy of Sciences
·
Nov 2023
Crack growth-based life prediction for additively manufactured metallic materials considering surface roughness
International Journal of Fatigue
·
Nov 2023
Neural optimization machine: a neural network approach for optimization and its application in additive manufacturing with physics-guided learning
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
·
Sep 2023
Automated Crystal System Identification from Four-dimensional Scanning Transmission Electron Microscopy Data Using Brain-inspired Artificial Intelligence
Microscopy and Microanalysis
·
Jul 2023
Probabilistic Fatigue Data Analysis Using Physics-Guided Mixture Density Networks
ASME 2023 Aerospace Structures, Structural Dynamics, and Materials Conference
·
Jun 2023
Automated crystal system identification from electron diffraction patterns using multiview opinion fusion machine learning
American Chemical Society (ACS)
·
May 2023
Crack Surface Analysis of Elastomers Using Transfer Learning
ACS Applied Materials & Interfaces
·
Mar 2023
Multi-Fidelity Data Aggregation for Information Fusion in Simulation and Experiment
AIAA SCITECH 2023 Forum
·
Jan 2023
2022
Physics-guided mixture density networks for uncertainty quantification
Reliability Engineering & System Safety
·
Dec 2022
Multi-fidelity neural optimization machine for Digital Twins
Structural and Multidisciplinary Optimization
·
Nov 2022
Subcycle fatigue crack growth and equivalent initial flaw size model for fatigue life assessment under arbitrary loadings for Al-7075
International Journal of Fatigue
·
Mar 2022
Multi-fidelity Data Aggregation using Convolutional Neural Networks
Computer Methods in Applied Mechanics and Engineering
·
Mar 2022
Fatigue modeling using neural networks: A comprehensive review
Fatigue & Fracture of Engineering Materials & Structures
·
Jan 2022
Convolutional Neural Networks for Multi-fidelity Data Aggregation
AIAA SCITECH 2022 Forum
·
Jan 2022
2021
Imaging-Based Fatigue Mechanism Investigation of Additively Manufactured Ti-6Al-4V
ASME International Mechanical Engineering Congress and Exposition
·
Nov 2021
Thermal conductivity of metal coated polymer foam: Integrated experimental and modeling study
International Journal of Thermal Sciences
·
Nov 2021
Energy‐based time derivative damage accumulation model under uniaxial and multiaxial random loadings
Fatigue & Fracture of Engineering Materials & Structures
·
Oct 2021
Data-Driven Sensitivity Analysis for Static Mechanical Properties of Additively Manufactured Ti–6Al–4V
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering
·
Aug 2021
Probabilistic physics-guided machine learning for fatigue data analysis
Expert Systems with Applications
·
Apr 2021
Fatigue property prediction of additively manufactured Ti-6Al-4V using probabilistic physics-guided learning
Additive Manufacturing
·
Mar 2021
Physics-guided machine learning for multi-factor fatigue analysis and uncertainty quantification
AIAA Scitech 2021 Forum
·
Jan 2021
Bayesian Fatigue Life Prediction of Corroded Steel Reinforcing Bars
Advances in Civil Engineering
·
Jan 2021
2020
Bayesian Information Fusion of Multmodality Nondestructive Measurements for Probabilistic Mechanical Property Estimation
ASME International Mechanical Engineering Congress and Exposition
·
Nov 2020
Probabilistic bulk property estimation using multimodality surface non-destructive measurements for vintage pipes
Structural Safety
·
Nov 2020
Piecewise stochastic rainflow counting for probabilistic linear and nonlinear damage accumulation considering loading and material uncertainties
International Journal of Fatigue
·
Nov 2020
Uncertainty quantification of fatigue S-N curves with sparse data using hierarchical Bayesian data augmentation
International Journal of Fatigue
·
May 2020
Multiaxial high-cycle fatigue life prediction under random spectrum loadings
International Journal of Fatigue
·
May 2020
Lifetime distribution selection for complete and censored multi-level testing data and its influence on probability of failure estimates
Structural and Multidisciplinary Optimization
·
Jan 2020
Uncertainty quantification of fatigue properties with sparse data using hierarchical Bayesian model
AIAA Scitech 2020 Forum
·
Jan 2020
Multimodality data fusion for probabilistic strength estimation of aging materials using Bayesian networks
AIAA Scitech 2020 Forum
·
Jan 2020
2019
Probabilistic Aging Pipe Strength Estimation Using Multimodality Information Fusion
Annual Conference of the PHM Society
·
Sep 2019
Multimodality Information Fusion for Aging Pipe Strength and Toughness Estimation Using Bayesian Networks
Annual Conference of the PHM Society
·
Sep 2019
Multiaxial high-cycle fatigue modelling for random loading
MATEC Web of Conferences
·
Jan 2019
2018
Equivalent surface defect model for fatigue life prediction of steel reinforcing bars with pitting corrosion
International Journal of Fatigue
·
May 2018