A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
publications
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 Y, 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.
Multifidelity modeling and uncertainty quantification of heterogeneous roughness
Shin Y, 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.
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
Boundary-Layer Meteorology, 2025
Recommended citation: Cite this article Shin, E.Y., Yang, X.I.A. & Howland, M.F. Addressing Grid Convergence and Log-Layer Mismatch in Wall Modeled Large Eddy Simulations of Geophysical Flows Over Rough Surfaces and Canopies. Boundary-Layer Meteorol 191, 42 (2025). https://doi.org/10.1007/s10546-025-00934-9
Accelerated Bayesian calibration and uncertainty quantification of RANS turbulence model parameters for stratified atmospheric boundary layer flows
Shin EY & Howland MF
Boundary-Layer Meteorology, 2026
Recommended citation: Cite this article Shin, E.Y., Howland, M.F. Accelerated Bayesian Calibration and Uncertainty Quantification of RANS Turbulence Model Parameters for Stratified Atmospheric Boundary Layer Flows. Boundary-Layer Meteorol 192, 3 (2026). https://doi.org/10.1007/s10546-025-00945-6
Connecting the forward problem to the inverse problem in uncertainty quantification of Earth system models using fast emulators
Shin EY, Kale B, & Howland MF
In review
Probabilistic inference of surface parameters for Monin-Obukhov similarity theory
Shin EY & Howland MF
In review
talks
Multi-fidelity modeling and uncertainty quantification of heterogeneous roughness (Invited)
Published:
teaching
1.61/1.061/1.061A Transport Processes in the Environment
Graduate/undergraduate course, Massachusetts Institute of Technology, 2025
Introduces mass transport in environmental flows, with emphasis on river and lake systems. Covers derivation and solutions to the differential form of mass conservation equations. Topics include molecular and turbulent diffusion, boundary layers, dissolution, bed-water exchange, air-water exchange, and particle transport. Meets with 1.061A first half of term. Students taking graduate version complete additional assignments.
1.086/1.861 Physics and Engineering of Renewable Energy Systems
Graduate/undergraduate course, Massachusetts Institute of Technology, 2026
Introduction to renewable energy generation in the context of the energy grid system. Focuses on computational analysis of energy systems. Topics include the energy grid and energy markets; fossil fuel generation; wind, solar, hydroelectric, and ocean energy; and energy storage. Tools, including computational models of wind energy generation and energy forecasting algorithms, introduced. Final project focuses on the development of low-carbon, low-cost energy systems. Students taking graduate version complete additional assignments.