Anh Tran - Concepedia

Author

Anh Tran

Georgia Institute of Technology ORCID

Also Known As

A. Tran, Anh V. Tran, Anh Tran, Anh V. Tran, Anh Van Thi Tran, Anh Van Tran, Theron Rodgers, Tran, Anh

Publications

1.2K

Citations

H-Index

Concepts

All Affiliations

Georgia Institute of Technology Sandia National Laboratories Xilinx (United States)Sandia National Laboratories California Oak Ridge National Laboratory

About

Anh Tran is an author at Georgia Institute of Technology specializing in engineering, uncertainty quantification, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	14	916
2	Natural Sciences	2	2	39
3	Management	1	1	163
4	Biomedical Engineering	1	1	26
5	Biostatistics	1	1	163

Anh Tran

Publications

Citations

H-Index

Page 1

	Year	Citations
Argo Data 1999–2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats Annie P. S. Wong, Susan Wijffels, Stephen C. Riser, Frontiers in Marine Science Observational NetworksEngineeringOceanographySubsurface Velocity ObservationsMarine Geophysical Data	2020	401
Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial Venkat Pavan Nemani, Luca Biggio, Xun Huan, Mechanical Systems and Signal Processing Engineering DesignUncertainty ManagementEngineeringMachine LearningData Science	2023	163
pBO-2GP-3B: A batch parallel known/unknown constrained Bayesian optimization with feasibility classification and its applications in computational fluid dynamics Anh Tran, Jing Sun, John M. Furlan, Computer Methods in Applied Mechanics and Engineering Numerical AnalysisMathematical ProgrammingModel OptimizationLarge-scale Global OptimizationEngineering	2019	68
Constrained mixed-integer Gaussian mixture Bayesian optimization and its applications in designing fractal and auxetic metamaterials Anh Tran, Minh–Triet Tran, Yan Wang Structural and Multidisciplinary Optimization Mixture DistributionMixture AnalysisAuxetic MetamaterialsInverse ProblemsComputational Electromagnetics	2019	55
WearGP: A computationally efficient machine learning framework for local erosive wear predictions via nodal Gaussian processes Anh Tran, John M. Furlan, Krishnan V. Pagalthivarthi, Wear Nodal Gaussian ProcessesEngineeringMachine LearningPattern RecognitionPredictive Analytics	2018	50
sMF-BO-2CoGP: A Sequential Multi-Fidelity Constrained Bayesian Optimization Framework for Design Applications Anh Tran, Timothy Wildey, Scott McCann Journal of Computing and Information Science in Engineering Large-scale Global OptimizationEngineeringMachine LearningMultidisciplinary Design OptimizationConstrained Optimization	2020	50
Solving Stochastic Inverse Problems for Property–Structure Linkages Using Data-Consistent Inversion and Machine Learning Anh Tran, Timothy Wildey JOM EngineeringMachine LearningData ScienceStochastic OptimizationStochastic Inverse Problems	2020	42
Computational Optimization Study of Transcatheter Aortic Valve Leaflet Design Using Porcine and Bovine Leaflets Stefano Travaglino, Kyle Murdock, Anh Tran, Journal of Biomechanical Engineering	2019	35
Data-driven high-fidelity 2D microstructure reconstruction via non-local patch-based image inpainting Anh Tran, Hoang Tran Acta Materialia Geometric ModelingImage ReconstructionEngineeringMicrostructure ReconstructionMedical Imaging	2019	26
Reliable Molecular Dynamics: Uncertainty quantification using interval analysis in molecular dynamics simulation Anh Tran, Yan Wang Computational Materials Science EngineeringPhysicsUncertainty ModelingUncertainty QuantificationInterval Analysis	2016	20

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