What is he best known for?
The fields of study he is best known for:
- Mathematical analysis
- Mechanics
- Thermodynamics
M. Y. Hussaini focuses on Mathematical analysis, Computational fluid dynamics, Spectral method, Compressibility and Turbulence.
M. Y. Hussaini combines subjects such as Wave propagation, Nonlinear system, Hydrodynamic stability and Discontinuous Galerkin method with his study of Mathematical analysis.
His research integrates issues of Boundary value problem, Open-channel flow, Applied mathematics, Numerical analysis and Collocation in his study of Spectral method.
His Applied mathematics research incorporates elements of Hyperbolic partial differential equation, Multigrid method, Inverse and Orthogonal polynomials.
His Compressibility study combines topics from a wide range of disciplines, such as Multiphase flow, Mach number and Two-phase flow.
His Turbulence research integrates issues from Computer simulation, Compressible flow and Statistical physics.
His most cited work include:
- Spectral Methods in Fluid Dynamics (2408 citations)
- Spectral Methods: Fundamentals in Single Domains (1248 citations)
- Low-Dissipation and Low-Dispersion Runge-Kutta Schemes for Computational Acoustics (740 citations)
What are the main themes of his work throughout his whole career to date?
M. Y. Hussaini mainly investigates Mechanics, Turbulence, Computational fluid dynamics, Mathematical analysis and Classical mechanics.
His work deals with themes such as Fluid dynamics and Isotropy, which intersect with Turbulence.
His research investigates the connection between Computational fluid dynamics and topics such as Statistical physics that intersect with issues in Boundary layer.
His research integrates issues of Spectral element method and Discontinuous Galerkin method in his study of Mathematical analysis.
His Mach number study combines topics in areas such as Compressibility and Supersonic speed.
His Spectral method study combines topics from a wide range of disciplines, such as Finite difference, Finite element method, Applied mathematics, Navier–Stokes equations and Collocation.
He most often published in these fields:
- Mechanics (39.35%)
- Turbulence (24.52%)
- Computational fluid dynamics (20.65%)
What were the highlights of his more recent work (between 2001-2018)?
- Composite material (6.45%)
- Mechanics (39.35%)
- Carbon nanotube (3.87%)
In recent papers he was focusing on the following fields of study:
His main research concerns Composite material, Mechanics, Carbon nanotube, Spectral method and Turbulence.
His Mechanics research includes elements of Multi material, Computer graphics, Moment and Classical mechanics.
His Carbon nanotube research integrates issues from Adhesion, Composite number and Electrical resistivity and conductivity.
His Spectral method research is classified as research in Mathematical analysis.
The various areas that M. Y. Hussaini examines in his Turbulence study include Compressible flow and Control theory.
His research investigates the connection with Differential equation and areas like Algebraic number which intersect with concerns in Applied mathematics.
Between 2001 and 2018, his most popular works were:
- Spectral Methods: Fundamentals in Single Domains (1248 citations)
- Spectral Methods: Evolution to Complex Geometries and Applications to Fluid Dynamics (453 citations)
- Enhancement of thermal and electrical properties of carbon nanotube polymer composites by magnetic field processing (450 citations)
In his most recent research, the most cited papers focused on:
- Mechanics
- Thermodynamics
- Mathematical analysis
M. Y. Hussaini mainly focuses on Composite material, Spectral method, Numerical analysis, Carbon nanotube and Optical properties of carbon nanotubes.
His Spectral method study is related to the wider topic of Mathematical analysis.
M. Y. Hussaini has included themes like Spectral element method and Applied mathematics in his Mathematical analysis study.
His studies in Numerical analysis integrate themes in fields like Classical mechanics, Volume of fluid method, Navier–Stokes equations, Incompressible flow and Pressure-correction method.
His work on Carbon nanotube metal matrix composites and Nanotube as part of general Carbon nanotube study is frequently linked to Chirality, bridging the gap between disciplines.
His studies examine the connections between Discontinuous Galerkin method and genetics, as well as such issues in Domain decomposition methods, with regards to Computational fluid dynamics.
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