Sergey Oladyshkin

Decision Sciences · Social Sciences

20h-index1.6kcitations106works1.32yr avg
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Research Topics

Probabilistic and Robust Engineering Design(33), Groundwater flow and contamination studies(23), Reservoir Engineering and Simulation Methods(23), CO2 Sequestration and Geologic Interactions(20), Model Reduction and Neural Networks(16)

Publications106 total

Surrogate-assisted global sensitivity analysis of a hybrid-dimensional Stokes--Brinkman--Darcy model
ArXiv.org·2026Open Access
Surrogate-assisted global sensitivity analysis of a hybrid-dimensional Stokes--Brinkman--Darcy model
arXiv (Cornell University)·2026Open Access
Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation Supported by Bayesian Model Analysis
Transport in Porous Media·2025Open Access
Bayesian Failure Localization Identifies Inconsistencies between Water Distribution Network Models and Real-World Conditions
Journal of Water Resources Planning and Management·2025
Numerical Investigation of Preferential Flow Paths in Enzymatically Induced Calcite Precipitation supported by Bayesian Model Analysis
arXiv (Cornell University)·2025Open Access
Surrogate-assisted Bayesian inference with ERT data for contaminant transport modelling in the subsurface
2025Open Access
  Large Temperatures in Water Distribution Pipes as a Water Quality Threat: Measurements and Modelling
2025Open Access
Modeling the Ammonium Removal Processes in Household Sand Filters
2025Open Access
Inferring Underwater Topography with Finite Volume Neural Networks
2025Open Access
BAYESIAN3 ACTIVE LEARNING FOR REGULARIZED ARBITRARY MULTIELEMENT POLYNOMIAL CHAOS USING INFORMATION THEORY
International Journal for Uncertainty Quantification·2024
Inferring Underwater Topography with FINN
arXiv (Cornell University)·2024Open Access
Data-driven surrogate-based Bayesian model calibration for predicting vadose zone temperatures in drinking water supply pipes
2024Open Access
Error-aware surrogate modelling with input dimension reduction for groundwater modelling in heterogenous media
2024Open Access
The site selection data hub: a data-centric approach for integrated simulation workflow management in radioactive waste disposal site selection
2024Open Access
Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste: introduction of a research initiative
Environmental Earth Sciences·2024· 20 citedOpen Access
Global sensitivity analysis using multi-resolution polynomial chaos expansion for coupled Stokes–Darcy flow problems
Computational Geosciences·2023· 4 citedOpen Access
A surrogate-assisted uncertainty-aware Bayesian validation framework and its application to coupling free flow and porous-medium flow
Computational Geosciences·2023· 7 citedOpen Access
The deep arbitrary polynomial chaos neural network or how Deep Artificial Neural Networks could benefit from data-driven homogeneous chaos theory
Neural Networks·2023· 7 cited
Information‐Theoretic Scores for Bayesian Model Selection and Similarity Analysis: Concept and Application to a Groundwater Problem
Water Resources Research·2023· 1 citedOpen Access
The Deep Arbitrary Polynomial Chaos Neural Network or how Deep Artificial Neural Networks could benefit from Data-Driven Homogeneous Chaos Theory
arXiv (Cornell University)·2023Open Access
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Frequent Co-authors

Wolfgang Nowak(32), Timothy Praditia(7), Sinan Xiao(6), Farid Mohammadi(6), Holger Class(5), М. Panfilov(5), Sebastian Otte(5), Liwei Zhang(4), Ilja Kröker(4), Matthias Karlbauer(4), Martin V. Butz(4), Bernd Flemisch(3), Ahmed H. Elsheikh(3), Silke Wieprecht(3), Rainer Helmig(2), Simeon Agada(2), S. Geiger(2), Wolfram Rühaak(2), Felix Beckers(2), Ilja Kroeker(2)