Faculty

Institution

Unit

Venue

George P Huang

Professor

Wright State University

Affiliations

College of Engineering and Computer Science

Mechanical and Materials Engineering

George P Huang is currently serving as a College Of Engineering And Computer Science Professor at Wright State University.

Honors

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Experiences

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Education

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George P Huang

Wright State University

Professor

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aerospace engineering fluid dynamics aeronautics aerodynamics aerospace technology engineering applied mathematics turbulence modeling numerical simulations mechanical engineering fluid mechanics numerical analysis heat transfer modeling and simulation thermal management biomechanics computational fluid dynamics transitional flows biomechanical engineering thermal engineering genetic algorithms thermophysics flow separation control plasma actuators low-pressure turbines dielectric barrier discharge flight endurance shock waves numerical algorithms mechanical science cerebral blood flow vascular biology respiratory medicine automatic control aerospace simulation plasma science numerical method for partial differential equation incompressible flow orthopedic biomechanics vascular aging topology optimization refinement technique model refinement fluvial process control design energy control astronautics computational models simultaneous equation modeling performance issues information overload performance scalability electron spectroscopy flow control applications website resource turbulence model assessment supersonic flows voltage slew rates operating conditions comprehensive cfd study wide range aifoil flow control diversity control

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Pade-Weno Flux Reconstruction for the Solution of High Mach Number Viscous Flows. AIAA SCITECH 2022 Forum (2025)

Blake MartinGeorge P. HuangNicholas J. Bisek

fluid dynamicsturbulence modelingpade-weno flux reconstructioncomputational fluid dynamicsnumerical simulationsfluid mechanicsaerospace engineering

Compressibility Corrections for Two-Equation Reynolds-Averaged Navier-Stokes Models. AIAA SCITECH 2022 Forum (2025)

Xiaohan HuGeorge P. HuangPaul DurbinXiang I. Yang

systems engineeringcompressibility correctionsmechanical engineeringturbulence modelingaerodynamicsnumerical simulationsaerospace engineering

Adapting Reynolds-Averaged Navier Stokes Models While Preserving the Basic Calibrations. AIAA SCITECH 2022 Forum (2024)

Yuanwei BinGeorge HuangRobert KunzXiang I. Yang

fluid dynamicsbasic calibrationsapplied mathematics

A Data-Based One-Layer Formulation of the Two-Equation Rans Models. (2024)

Xiaohan HuGeorge HuangRobert KunzXiang Yang

data modelingcomputational modelssystems biologypartial differential equationsmodeling and simulationdata-based one-layer formulationnumerical simulationsdata sciencedifferential equationssimultaneous equation modelingtwo-equation rans modelsapplied mathematics

Data-Guided Low-Reynolds-Number Corrections for Two-Equation Models. Journal of Fluids Engineering (2024)

Xiaohan HuGeorge HuangRobert F. KunzXiang Yang

two-equation modelsfluid dynamicsdata-guided low-reynolds-number correctionsnumerical simulationsfluid mechanicsengineering

Enhancing Generalizability of Machine-Learning Turbulence Models. AIAA SCITECH 2022 Forum (2024)

Jiaqi LiYuanwei BinGeorge HuangXiang I. Yang

fluid dynamicscomputer scienceturbulence modelingmachine learning

Constrained Recalibration of Reynolds-Averaged Navier–Stokes Models. AIAA Journal (2023)

Yuanwei BinGeorge HuangRobert KunzXiang I. A. Yang

reynolds-averaged navier-stokes modelsfluid dynamicsrefinement techniquemodel refinementapplied mathematics

Data-Enabled Recalibration of the Spalart–Allmaras Model. AIAA Journal (2023)

Yuanwei BinGeorge HuangXiang I. A. Yang

data integrationaerospace engineeringspalart-allmaras modelapplied mathematicsdata-enabled recalibration

A Unified Temperature Transformation for High-Mach-Number Flows Above Adiabatic and Isothermal Walls. Journal of Fluid Mechanics (2022)

Peng E.S. ChenGeorge P. HuangYipeng ShiXiang I.A. YangYu Lv

unified temperature transformationmechanical engineeringfluid dynamicsisothermal wallshigh-mach-number flowsfluid mechanics

Progressive, Extrapolative Machine Learning for Near-Wall Turbulence Modeling. Physical Review Fluids (2022)

Yuanwei BinLihua ChenGeorge HuangXiang I. A. Yang

fluid dynamicsturbulence modelingnear-wall turbulence modelingapplied physicsmachine learning

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George P Huang

Professor

Wright State University

Affiliations

College of Engineering and Computer Science

Mechanical and Materials Engineering

George P Huang is currently serving as a College Of Engineering And Computer Science Professor at Wright State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

George P Huang

Wright State University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Pade-Weno Flux Reconstruction for the Solution of High Mach Number Viscous Flows. AIAA SCITECH 2022 Forum (2025)

Blake MartinGeorge P. HuangNicholas J. Bisek

fluid dynamicsturbulence modelingpade-weno flux reconstructioncomputational fluid dynamicsnumerical simulationsfluid mechanicsaerospace engineering

Compressibility Corrections for Two-Equation Reynolds-Averaged Navier-Stokes Models. AIAA SCITECH 2022 Forum (2025)

Xiaohan HuGeorge P. HuangPaul DurbinXiang I. Yang

systems engineeringcompressibility correctionsmechanical engineeringturbulence modelingaerodynamicsnumerical simulationsaerospace engineering

Adapting Reynolds-Averaged Navier Stokes Models While Preserving the Basic Calibrations. AIAA SCITECH 2022 Forum (2024)

Yuanwei BinGeorge HuangRobert KunzXiang I. Yang

fluid dynamicsbasic calibrationsapplied mathematics

A Data-Based One-Layer Formulation of the Two-Equation Rans Models. (2024)

Xiaohan HuGeorge HuangRobert KunzXiang Yang

Data-Guided Low-Reynolds-Number Corrections for Two-Equation Models. Journal of Fluids Engineering (2024)

Xiaohan HuGeorge HuangRobert F. KunzXiang Yang

two-equation modelsfluid dynamicsdata-guided low-reynolds-number correctionsnumerical simulationsfluid mechanicsengineering

Enhancing Generalizability of Machine-Learning Turbulence Models. AIAA SCITECH 2022 Forum (2024)

Jiaqi LiYuanwei BinGeorge HuangXiang I. Yang

fluid dynamicscomputer scienceturbulence modelingmachine learning

Constrained Recalibration of Reynolds-Averaged Navier–Stokes Models. AIAA Journal (2023)

Yuanwei BinGeorge HuangRobert KunzXiang I. A. Yang

reynolds-averaged navier-stokes modelsfluid dynamicsrefinement techniquemodel refinementapplied mathematics

Data-Enabled Recalibration of the Spalart–Allmaras Model. AIAA Journal (2023)

Yuanwei BinGeorge HuangXiang I. A. Yang

data integrationaerospace engineeringspalart-allmaras modelapplied mathematicsdata-enabled recalibration

A Unified Temperature Transformation for High-Mach-Number Flows Above Adiabatic and Isothermal Walls. Journal of Fluid Mechanics (2022)

Peng E.S. ChenGeorge P. HuangYipeng ShiXiang I.A. YangYu Lv

unified temperature transformationmechanical engineeringfluid dynamicsisothermal wallshigh-mach-number flowsfluid mechanics

Progressive, Extrapolative Machine Learning for Near-Wall Turbulence Modeling. Physical Review Fluids (2022)

Yuanwei BinLihua ChenGeorge HuangXiang I. A. Yang

fluid dynamicsturbulence modelingnear-wall turbulence modelingapplied physicsmachine learning

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10 / page

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Similar Faculty Members

Steven Frankel

Institution

Purdue University

fluid dynamics

aerospace engineering

Eric Johnsen

Institution

University of Michigan

fluid dynamics

applied physics

Todd Lowe

Institution

Virginia Tech

aerospace propulsion

aerodynamics

Krishnan Mahesh

Institution

University of Michigan

fluid dynamics

applied physics

Brian Dennis

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engineering

mechanical engineering

Andreas Gross

Institution

New Mexico State University

turbulence modeling

large eddy simulations

Jonathan Poggie

Institution

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turbulence modeling

hypersonic flight

Foluso Ladeinde

Institution

Stony Brook University

fluid flow

supersonic combustion

A. J. Baker

Institution

University of Tennessee

cfd technology

multiphysics problem

Danesh Tafti

Institution

Virginia Tech

turbulence modeling

heat transfer enhancement