Computational haemodynamics
Aortic flow modelling, wall shear stress, helicity, flow efficiency, morphology-sensitive interpretation, and verification-driven CFD studies.
PhD Researcher / Cardiovascular CFD / AI-assisted Engineering
Cardiovascular CFD and AI-assisted simulation workflows.
I am Parham Vatankhah, a University of Sydney PhD researcher working across thoracic aortic flow, computational haemodynamics, Ansys Fluent simulation workflows, Python automation, and AI/ML methods for reproducible healthcare-focused engineering research.
PhD Researcher
University of Sydney
Thoracic Aortic Flow
Ansys Fluent
Cardiovascular CFD
Computational Haemodynamics
Python Automation
AI for Simulation
Biomedical Modelling
Technical Consulting
About
Deep technical work, made rigorous, reproducible, and useful.
My background combines mechanical engineering, cardiovascular CFD, haemodynamic analysis, biomedical research, and scientific programming. I work on patient-specific and idealised flow studies, workflow automation, and methods that turn technically demanding simulations into structured evidence and clearer decisions.
I am especially interested in the intersection of CFD, AI, and healthcare, where rigorous modelling and practical tooling need to work together rather than sit in separate silos.
Research focus
Three connected layers: cardiovascular simulation, automation, and AI-enabled interpretation.
The work is grounded in CFD and haemodynamics, but the larger direction is reproducible technical infrastructure for healthcare-focused engineering analysis.
CFD workflow automation
Python tools and structured pipelines for simulation setup, post-processing, figure generation, and research-to-report reproducibility.
AI and ML for simulation
AI-assisted tooling and machine-learning methods that reduce friction, improve technical accessibility, and support scalable engineering analysis.
Featured projects
A project showcase across CFD, automation, AI tooling, healthcare analysis, and data storytelling.
Each project is framed by its current status and the technical capability it demonstrates.
Current research
Thoracic Aortic Haemodynamics
Patient-specific and idealised CFD studies of thoracic aortic flow, focused on WSS, helicity, flow efficiency, verification, and clinically relevant interpretation.
WSS
Helicity
Verification
Clinical interpretation
Workflow in active development
Automated CFD Workflow
Python-supported workflows for simulation setup, post-processing, result extraction, and publication-grade figure generation.
Python
Reproducibility
Post-processing
Prototype concept
Ansys Fluent Support Assistant
An AI-guided concept for CFD fundamentals, task support, and practical Fluent workflow guidance.
AI guidance
CFD fundamentals
Task support
Exploratory healthcare direction
AI + MRI + Haemodynamic Analysis
A direction combining imaging-derived data, simulation outputs, and intelligent tooling for healthcare-focused cardiovascular analysis.
MRI-informed workflows
Simulation outputs
Decision support
Completed case study
South Australian Housing Stress Analysis
Public-data analysis showing concentration, income vulnerability, tenure patterns, and policy-facing visual storytelling.
View full case studySelected publications and outputs
Research outputs presented conservatively, with full details in the CV and Google Scholar.
The CV lists outputs spanning cardiovascular simulation, haemodynamics, microfluidics, biomedical research, and computational modelling.
Nature Communications
Co-authored research output listed in the CV.
Advanced Materials Interfaces
Co-authored publication output listed in the CV.
Scientific Reports
Computational and biomedical modelling output.
Molecular & Cellular Biomechanics
Computational fluid dynamics work at micro-scale stenosis.
Analytica Chimica Acta
Microfluidic and computational modelling output.
Chemical Engineering and Processing
Process intensification publication output listed in the CV.
Technical skills and toolchain
Simulation depth plus the tooling needed to make technical work repeatable.
Simulation
ANSYS Fluent, ANSYS CFX, COMSOL Multiphysics, SimVascular, SolidWorks, AutoCAD.
Programming and automation
Python, MATLAB, SQL, Jupyter, Git/GitHub, Bitbucket, reproducible post-processing workflows.
Data and visualisation
Comparative analysis, scientific plotting, figure generation, reporting workflows, and evidence-focused communication.
AI and ML
ML experimentation, AI-guided tooling, workflow assistance, and applied technical automation concepts.
Domain expertise
Cardiovascular CFD, haemodynamics, biomedical simulation, microfluidics, non-Newtonian blood modelling, and verification.
Collaboration and consulting
Research collaborations, CFD workflow problems, and AI-assisted engineering tools.
I am open to academic collaborations, technical consulting, and industry conversations related to cardiovascular CFD, simulation workflow automation, healthcare-focused modelling, Ansys Fluent workflows, and reproducible Python pipelines.
Curriculum vitae
Research, publications, teaching, awards, and technical experience.
The CV provides the fuller record behind this website: research appointments, publications, awards, teaching experience, and technical platforms.
Contact
Let's discuss a research, simulation, or AI workflow problem.
Reach out for cardiovascular CFD, haemodynamic analysis, Ansys Fluent workflows, Python automation, AI-enabled engineering tools, consulting, or collaboration.