16 citations · 19 across the 4 of their papers we have counts for
5 papers
Deep Gaussian Process-Based Bayesian Inference for Contaminant Source Localization
Young-Jin Park, Piyush M. Tagade, Han-Lim Choi
This paper proposes a Bayesian framework for localization of multiple sources in the event of accidental hazardous contaminant release. The framework assimilates sensor measurement…
A Gaussian Process Emulator Approach for Rapid Contaminant Characterization with an Integrated Multizone-CFD Model
Piyush M. Tagade, Byeong-Min Jeong, Han-Lim Choi
This paper explores a Gaussian process emulator based approach for rapid Bayesian inference of contaminant source location and characteristics in an indoor environment. In the pre-…
A Dynamic Bi-orthogonal Field Equation Approach for Efficient Bayesian Calibration of Large-Scale Systems
Piyush Tagade, Han-Lim Choi
This paper proposes a novel computationally efficient dynamic bi-orthogonality based approach for calibration of a computer simulator with high dimensional parametric and model str…
A Generalized Polynomial Chaos-Based Method for Efficient Bayesian Calibration of Uncertain Computational Models
Piyush Tagade, Han-Lim Choi
This paper addresses the Bayesian calibration of dynamic models with parametric and structural uncertainties, in particular where the uncertain parameters are unknown/poorly known…
A Dynamic Bi-orthogonality based Approach for Uncertainty Quantification of Stochastic Systems with Discontinuities
Piyush M. Tagade, Han-Lim Choi
The use of spectral projection based methods for simulation of a stochastic system with discontinuous solution exhibits the Gibbs phenomenon, which is characterized by oscillations…