Area of research
Electrical and Electronic Engineering · Cardiology and Cardiovascular Medicine
Research interest
Research interests include Hemodynamics, Cardiology, Computer science, Medicine, Materials science, and Population.
Quantifying the efficacy of voltage protocols in characterising ion channel kinetics: A novel information‐theoretic approach
Correction to: A new model for evaluating pressure‑induced vascular tone in small cerebral arteries
A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: Application to porcine aortic valves
A new model for evaluating pressure-induced vascular tone in small cerebral arteries
On the Ca2+ elevation in vascular endothelial cells due to inositol trisphosphate-sensitive store receptors activation: A data-driven modeling approach
A new model for evaluating pressure-induced vascular tone in small cerebral arteries
A low dimensional surrogate model for a fast estimation of strain in the thrombus during a thrombectomy procedure
Multiscale modelling of Potts shunt as a potential palliative treatment for suprasystemic idiopathic pulmonary artery hypertension: a paediatric case study
Reliable Numerical Models of Nickel-Titanium Stents: How to Deduce the Specific Material Properties from Testing Real Devices
On the Ca <sup>2+</sup> elevation in vascular endothelial cells due to inositol trisphosphate-sensitive store receptor activation: a data-driven modeling approach
Patient‐specific Hemodynamic Simulations: Model Parameterization from Clinical Data to Enable Intervention Planning
A framework for incorporating 3D hyperelastic vascular wall models in 1D blood flow simulations
A physiologically realistic virtual patient database for the study of arterial haemodynamics
A proof of concept study for machine learning application to stenosis detection
Cronfa (Swansea University) 2021cited by 13position: last
Hemodynamics After Fontan Procedure are Determined by Patient Characteristics and Anastomosis Placement Not Graft Selection: a Patient-Specific Multiscale Computational Study
A physiologically realistic virtual patient database for the study of arterial haemodynamics
A proof of concept study for machine learning application to stenosis detection
1D-Hyperelastic-Haemodynamics: Version1
Multiscale modelling of reversed Potts shunt as a potential palliative treatment for suprasystemic idiopathic pulmonary artery hypertension in children
Beyond Newton: A New Root-Finding Fixed-Point Iteration for Nonlinear Equations
Non‐invasive coronary CT angiography‐derived fractional flow reserve: A benchmark study comparing the diagnostic performance of four different computational methodologies
Patient-specific hemodynamics simulations: model parameterization from clinical data to enable interventional planning
On improving the numerical convergence of highly nonlinear elasticity problems
A Lumped Parameter Model to Study Atrioventricular Valve Regurgitation in Stage 1 and Changes Across Stage 2 Surgery in Single Ventricle Patients
Estimating the accuracy of a reduced‐order model for the calculation of fractional flow reserve (FFR)