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