Shao-Ching Huang is a research scientist and the manager of high performance computing research and projects. His primary research interests are computational fluid dynamics, large-scale parallel computing, parameter estimation and scientific visualization. Recently, he has been developing computational tools for turbulent flows in complex geometry with applications in engineering, medicine and climate. His other synergistic activities include teaching parallel computing classes (e.g. MPI, OpenMP and PETSc) to UCLA graduate students and researchers. He received his PhD in mechanical engineering from UCLA.
- 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