Shao-Ching Huang is a research scientist and the group lead of High-performance Computing Research. His primary research interests are computational fluid dynamics, large-scale parallel computing, parameter estimation and scientific visualization. His other activities include teaching advanced computing classes to UCLA graduate students and researchers. He received his PhD in mechanical engineering from UCLA. Recently, he has been developing computational tools for turbulent flows in complex geometry with applications in engineering, medicine and climate.
- C.-J. Huang, S.-C. Huang, S. M. White, S. M. Mallya and J. D. Eldredge, Towards numerical simulations of fluid–structure interactions for investigation of obstructive sleep apnea, Theoretical and Computational Fluid Dynamics, October 2015. DOI 10.1007/s00162-015-0368-3
- S. M. White, C.-J. Huang, S.-C. Huang, J. D. Eldredge and S. M. Mallya, Evaluation of the upper airway morphology: The role of cone beam computed tomography, Journal of the California Dental Association, Vol. 43, No. 9, p. 531–539, 2015.
- H.-Y. Huang, S. Capps, S.-C. Huang, and A. Hall, 2015: Downscaling near-surface wind over complex terrain using a physically-based statistical modeling approach. Climate Dynamics, 44(1–2): 529–542. DOI: 10.1007/s00382-014-2137-1
Office: 3320 Math Sciences