Dimitris G Giovanis

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Vissarion PapadopoulosMultiscale&Multiphysics research Group (MGroup), Professor, School of Civil Engineering, NationalVerified email at central.ntua.gr
Michael D. ShieldsJohns Hopkins UniversityVerified email at jhu.edu
Manolis PapadrakakisProfessor Em., School of Civil Engineering, National Technical University of AthensVerified email at central.ntua.gr
Nikos D. LagarosDean of the Civil Engineering School, Professor of Structural Optimization, NTU AthensVerified email at central.ntua.gr
Katiana KontolatiPhD, Johns Hopkins UniversityVerified email at jhu.edu
Dimitrios LoukrezisResearch scientist, Siemens AG | Research group leader, TU DarmstadtVerified email at temf.tu-darmstadt.de
Lohit VandanapuPhD Candidate, Johns Hopkins UniversityVerified email at jhu.edu
Ketson R M dos SantosUniversity of Minnesota Twin CitiesVerified email at umn.edu
Fabrice DetrezMaître de conférences, Université Gustave EiffelVerified email at univ-mlv.fr
Julien YVONNETGustave Eiffel UniversityVerified email at univ-eiffel.fr
Iason PapaioannouTU MünchenVerified email at tum.de
Daniel StraubTU München, Engineering Risk Analysis GroupVerified email at tum.de
Audrey OlivierAssistant Professor of Civil and Environmental Engineering, USCVerified email at usc.edu
George SoimirisPostdoctoral Fellow at Johns Hopkins UniversityVerified email at jhu.edu
Michalis FragiadakisNational Technical University of Athens, School of Civil EngineeringVerified email at mail.ntua.gr
Sundar VelkurSr Concept Engineer, Callaway Golf CompanyVerified email at callawaygolf.com
Ioannis KalogerisPost-doctoral researcher at National Technical University of AthensVerified email at mail.ntua.gr
Jiaxin ZhangIntuit AI Research; Oak Ridge National Lab; Johns Hopkins UniversityVerified email at intuit.com

Dimitris G Giovanis

Assistant Research Professor, John Hopkins University, Civil Engineering

Verified email at jhu.edu - Homepage

Uncertainty Quantification Scientific Machine Learning Computational Mechanics


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Accelerated subset simulation with neural networks for reliability analysis V Papadopoulos, DG Giovanis, ND Lagaros, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 223, 70-80, 2012	213	2012
A data-driven computational homogenization method based on neural networks for the nonlinear anisotropic electrical response of graphene/polymer nanocomposites X Lu, DG Giovanis, J Yvonnet, V Papadopoulos, F Detrez, J Bai Computational Mechanics 64, 307-321, 2019	138	2019
A neural network-based surrogate model for carbon nanotubes with geometric nonlinearities V Papadopoulos, G Soimiris, DG Giovanis, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 328, 411-430, 2018	71	2018
UQpy: A general purpose Python package and development environment for uncertainty quantification A Olivier, DG Giovanis, BS Aakash, M Chauhan, L Vandanapu, ... Journal of Computational Science 47, 101204, 2020	53	2020
Stochastic finite element methods: an introduction V Papadopoulos, DG Giovanis Springer, 2017	53	2017
Bayesian updating with subset simulation using artificial neural networks DG Giovanis, I Papaioannou, D Straub, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 319, 124-145, 2017	53	2017
A new perspective on the solution of uncertainty quantification and reliability analysis of large-scale problems G Stavroulakis, DG Giovanis, M Papadrakakis, V Papadopoulos Computer Methods in Applied Mechanics and Engineering 276, 627-658, 2014	42	2014
Spectral representation-based neural network assisted stochastic structural mechanics DG Giovanis, V Papadopoulos Engineering Structures 84, 382-394, 2015	41	2015
Data-driven surrogates for high dimensional models using Gaussian process regression on the Grassmann manifold DG Giovanis, MD Shields Computer Methods in Applied Mechanics and Engineering 370, 113269, 2020	33	2020
A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems K Kontolati, D Loukrezis, DG Giovanis, L Vandanapu, MD Shields Journal of Computational Physics 464, 111313, 2022	22	2022
Manifold learning-based polynomial chaos expansions for high-dimensional surrogate models K Kontolati, D Loukrezis, KRM dos Santos, DG Giovanis, MD Shields International Journal for Uncertainty Quantification 12 (4), 2022	22	2022
A GPU domain decomposition solution for spectral stochastic finite element method G Stavroulakis, DG Giovanis, V Papadopoulos, M Papadrakakis Computer Methods in Applied Mechanics and Engineering 327, 392-410, 2017	22	2017
Epistemic uncertainty assessment using incremental dynamic analysis and neural networks DG Giovanis, M Fragiadakis, V Papadopoulos Bulletin of Earthquake Engineering 14, 529-547, 2016	22	2016
Subset simulation for problems with strongly non-Gaussian, highly anisotropic, and degenerate distributions MD Shields, DG Giovanis, VS Sundar Computers & Structures 245, 106431, 2021	20	2021
Grassmannian Diffusion Maps--Based Dimension Reduction and Classification for High-Dimensional Data KR Dos Santos, DG Giovanis, MD Shields SIAM Journal on Scientific Computing 44 (2), B250-B274, 2022	14	2022
Reliability analysis V Papadopoulos, DG Giovanis, V Papadopoulos, DG Giovanis Stochastic Finite Element Methods: An Introduction, 71-98, 2018	13	2018
Uncertainty quantification for complex systems with very high dimensional response using Grassmann manifold variations DG Giovanis, MD Shields Journal of Computational Physics 364, 393-415, 2018	12	2018
Data-driven uncertainty quantification in computational human head models K Upadhyay, DG Giovanis, A Alshareef, AK Knutsen, CL Johnson, ... Computer Methods in Applied Mechanics and Engineering 398, 115108, 2022	7	2022
Grassmannian diffusion maps based surrogate modeling via geometric harmonics KRM dos Santos, DG Giovanis, K Kontolati, D Loukrezis, MD Shields International Journal for Numerical Methods in Engineering 123 (15), 3507-3529, 2022	6	2022
A spectral stochastic formulation for nonlinear framed structures V Papadopoulos, I Kalogeris, DG Giovanis Probabilistic Engineering Mechanics 55, 90-101, 2019	6	2019

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