Hong Luo

Professor

Dr. Luo is interested in computational fluid dynamics, computational magnetohydrodynamics, computational aeroacoustics, fluid-structure interaction, high-performance computing, and unstructured grid generation.

At the graduate level, Dr. Luo teaches Computation Fluid Dynamics (MAE 766). This course is concerned with the finite difference, finite volume, and finite element methods for solving the governing equations in fluid dynamics. Dr. Luo guides his students toward an expertise in numerical methods and strong capabilities in programming.

At the undergraduate level, he teaches Aerodynamics I (MAE 355) and Heat transfer fundamentals (MAE 310). In Aerodynamics I, he brings in examples over the wide range of flow speeds he has encountered in his own work, like low speed flow past an Indy-racing car, transonic flow around a Boeing 747, supersonic flow past a missile, and hypersonic flow past a space shuttle.

The students who work with Dr. Luo are drawn to his area of research because they find the numerical simulations and modeling, both technically interesting and intellectually challenging, and appreciate the increasingly important role that they play in science and engineering. These students appreciate its major impact on the development, design, and analysis of modern airplanes, high speed trains, advanced ships/submarines, high performance cars, new weapon systems, and nuclear reactors, leading to work opportunities in government/industry/national labs. Dr. Luo looks for students who are self-motivated, hard-working, and strong in mathematics and computer programming.

See also Dr. Luo’s ResearcherID site and his Google Scholar link below.

Outside of work, Dr. Luo enjoys spending time with his family, exercising, and traveling.

Publications

A r -Adaptive Discontinuous Galerkin Method Based on Interface Conservation for Reacting Hypersonic Viscous Flows
Luo, H., Absillis, G., Goodson, M., Nielsen, T., & Salazar, G. (2026, January 8). , . https://doi.org/10.2514/6.2026-1544
Direct Discontinuous Galerkin methods for the reacting multi-component flow equations
Absillis, G., Luo, H., Greene, P., Nourgaliev, R., & Goodson, M. (2025, August 13), Computers & Fluids. https://doi.org/10.1016/j.compfluid.2025.106774
Robust 3D multi‐material hydrodynamics using discontinuous Galerkin methods
Li, W., Pandare, A., Luo, H., Bakosi, J., & Waltz, J. (2024, October 8), International Journal for Numerical Methods in Fluids. https://doi.org/10.1002/fld.5340
A parallelp‐adaptive discontinuous Galerkin method for the Euler equations with dynamicload‐balancingon tetrahedral grids
Li, W., Pandare, A. K., Luo, H., Bakosi, J., & Waltz, J. (2023, August 21), International Journal for Numerical Methods in Fluids. https://doi.org/10.1002/fld.5231
On the design of stable, consistent, and conservative high-order methods for multi-material hydrodynamics
Pandare, A. K., Waltz, J., Li, W., Luo, H., & Bakosi, J. (2023, June 23), Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2023.112313
A reconstructed discontinuous Galerkin method based on variational formulation for compressible flows
Li, L., Liu, X., & Luo, H. (2022, July 3), Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2022.111406
A vertex-centered finite volume method with interface sharpening technique for compressible two-phase flows
Li, L., Löhner, R., Pandare, A. K., & Luo, H. (2022, April 1), Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2022.111194
A moving discontinuous Galerkin finite element method with interface condition enforcement for compressible flows
Luo, H., Absillis, G., & Nourgaliev, R. (2021, August 8), Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2021.110618
A reconstructed discontinuous Galerkin method for compressible flows on moving curved grids
Wang, C., & Luo, H. (2021, January 7), Advances in Aerodynamics. https://doi.org/10.1186/s42774-020-00055-6
Reconstructed discontinuous Galerkin methods for compressible flows based on a new hyperbolic Navier-Stokes system
Li, L., Lou, J., Nishikawa, H., & Luo, H. (2020, December 9), Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2020.110058

View all publications via NC State Libraries

Hong Luo