Posts by Collection

Smart Electric Mobility Operating System Integrated with Off-Grid Solar Power Plants in Tanzania: Vision and Trial Run

Rhee H, Im H, Manongi F, Shin EY, Song H, Jung W, & Ahn S

Journal of Appropriate Technology, 2021

Recommended citation: Rhee, H., Im, H., Manongi, F., Shin, E. Y., Song, H., Jung, W., & Ahn, S. (2021). "Smart Electric Mobility Operating System Integrated with Off-Grid Solar Power Plants in Tanzania: Vision and Trial Run." Journal of Appropriate Technology.
Article

Multifidelity modeling and uncertainty quantification of heterogeneous roughness

Shin EY, Chan M, Wang J, Zahtila T, Gorle C, Iaccarino G, & Howland MF

Proceedings of the Summer Program, Center for Turbulence Research, Stanford University, 2024

Recommended citation: Shin, E. Y., Chan, M., Wang, J., Zahtila, T., Gorle, C., Iaccarino, G., and Howland M. F. (2024). "Multifidelity modeling and uncertainty quantification of heterogeneous roughness." Proceedings of the Summer Program, Center for Turbulence Research, Stanford University.
Article

Addressing grid convergence and log-layer mismatch in wall modeled large eddy simulations of geophysical flows over rough surfaces and canopies

Shin EY, Yang XIA, & Howland MF

In review, 2025

Accelerated Bayesian calibration and uncertainty quantification of RANS turbulence model parameters for stratified atmospheric boundary layer flows

Shin EY & Howland MF

In review, 2025

Preprint

Uncertainty quantification of RANS turbulence model parameters with ensemble Kalman methods and machine learning

Published: November 19, 2023

See abstract

Multi-fidelity modeling and uncertainty quantification of heterogeneous roughness

Published: November 26, 2024

See abstract

Accelerated Uncertainty Quantification of RANS Turbulence Models for Stratified Atmospheric Boundary Layer Flow

Published: December 09, 2024

See abstract

Bayesian inversion to quantify parameter uncertainty in RANS turbulence models for stratified atmospheric boundary layer flows

Published: June 18, 2025

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.