CHRISTOPHER SATHIYA SATCGU

Formación académica

Departamento

Intereses

(1) Artificial Intelligence & Machine Learning

Deep learning architectures: MLPs, RNNs, LSTMs.

Physics-Informed Neural Networks (PINNs), Graph Neural Networks (GNNs).

Autoencoders, generative AI, reduced-order modelling, LLMs/SLMs.

AI-integrated digital twins for predictive maintenance and real-time optimisation.

Explainable AI (XAI) and deep reinforcement learning for optimisation/control.

(2) Computational Fluid Dynamics (CFD) & Numerical Simulation

Design and customisation of CFD solvers for complex flows.

Unstructured meshes, immersed boundary methods.

Hydrodynamic instability analysis.

High-speed aerodynamics: transonic, supersonic, and hypersonic flows.

Custom OpenFOAM solvers for multiphase and advanced flow physics.

(3) Multiscale & Multiphysics Modelling

Molecular dynamics for materials.

Coupling computational, data-driven, and experimental approaches for energy systems.

Heat transfer at the micro- and nano-scales.

Multiphysics simulation tools for complex energy and thermal systems.

(4) Thermal Energy Storage & Solar Energy Systems

Phase change materials (PCM), cascaded thermal storage.

Solar collector design.

Nanofluids for enhanced heat transfer.

Industrial and domestic thermal storage applications.

(5) Magnetohydrodynamics & Nanofluid Dynamics

Thermal-fluid simulation under varying magnetic field conditions.

Modelling magnetic susceptibility, Brownian motion, and localised magnetic forces.

(6) Energy Systems Optimisation

Genetic algorithms for system geometry optimisation.

Multi-criteria decision making (MCDM) for selection.

Integration of solar, thermal, and building energy systems.

(7) Techniques and Specialised Methods

Semi-Lagrangian advection, FFT-based PDE solvers, and custom Laplacian solvers.

Phase change modelling (enthalpy–porosity method).

Dirichlet/Neumann boundary conditions on staggered grids.

Multiphase flow modelling and instability analysis.

Structural and thermal analysis for engineering systems.

Experimental setup design for thermal systems.

Genetic algorithm–based optimisation.

(8) Software & Technical Tools Engineering & Simulation

OpenFOAM – Customised solvers for multiphase/complex flows.

TRNSYS – Simulation of solar and thermal energy systems.

ANSYS / ANSA – Meshing and modelling for automotive and thermal systems.

Elmer, Gmsh, FreeCAD – Multiphysics, geometry creation, meshing.

NX CAD, CATIA – CAD modelling, manufacturing drawings, GD&T.

Programming & Data Science

MATLAB and Python – Robotics, Monte Carlo ray tracing, thermal simulations, Machine learning, numerical methods, game development.

Equipo

Miembros anteriores del equipo

Principales colaboraciones

Parece que esta persona no tiene asociado ningún proyecto
Parece que esta persona no tiene asociada ningúna publicación