Area of research
Computational Mechanics · Economics and Econometrics
Research interest
Research interests include Flow (mathematics), Computer science, Mechanics, Heat transfer, Artificial neural network, and Materials science.
Fluid–structure interaction
The finite element approximation
DIGITAL TWINS OF THERMAL SYSTEMS: A COMPARISON BETWEEN SUPERVISED AND REINFORCEMENT LEARNING
The equations of fluid dynamics
Computer implementation of the CBS algorithm
Fractional step methods: the characteristic-based split (CBS) algorithm for compressible and incompressible flows
Convection dominated problems – finite element approximations to the convection–diffusion–reaction equation
Incompressible non-Newtonian flows
Biofluid dynamics – blood flow
Incompressible Newtonian laminar flows
Compressible high-speed gas flow
Flow and heat transport in porous media
Permea-Design: An Innovative Tool for Generating Triply Periodic Minimal Surface Scaffolds with Tailored Permeability
A physics-driven and machine learning-based digital twinning approach to transient thermal systems
Data-driven calculation of porous geometry-dependent permeability and fluid-induced wall shear stress within tissue engineering scaffolds
Orbital learning: a novel, actively orchestrated decentralised learning for healthcare
Multiscale computational study to predict the irradiation-induced change in engineering properties of fusion reactor materials
Quantifying the efficacy of voltage protocols in characterising ion channel kinetics: A novel information‐theoretic approach
IN MEMORIAM: PROFESSOR DARRELL W. PEPPER â A TRIBUTE TO AN EXCEPTIONAL ENGINEERING EDUCATOR AND RESEARCHER
Stiff-PDEs and Physics-Informed Neural Networks
Dynamic modelling of geothermal heat pump system coupled with positive-energy building