Scholar
Harshinee Goordoyal
Google Scholar ID: jdihXmkAAAAJ
PhD Candidate, University of Bath (ART-AI), UK
Citations & Impact
Citations
13
H-index
2
i10-index
0
Publications
2
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Doctoral Recognition Award Winner 2022.
Research Experience
- Project: Using artificial intelligence in CFD simulations of blood flow in artificial hearts and other cardiovascular devices. Focus areas include: 1. Using Fourier inspired methods to learn from oscillating flows with single frequencies to predict physiological pulsatile flows; 2. Refining the Reynolds Stress tensor by learning from Large Eddy Simulations (LES) to improve URANS modeling in transitional turbulent flows; 3. Using data from turbulent eddies gained from LES for creating numerical models for haemolysis implemented in URANS.
Education
- Mechanical Engineering (MEng), University of Bristol, UK.
Background
- A mechanical engineer by training, always inclined towards applying engineering knowledge in a medical context. Aims to research ways of improving the design of cardiovascular and medical devices to help elevate the quality and length of life of cardiovascular disease patients.
Miscellany
- Contact: info@cdt-art-ai.ac.uk, press@cdt-art-ai.ac.uk
- Address: University of Bath, Claverton Down, Bath, BA2 7AY, UK
- Social Media: Twitter, LinkedIn
Co-authors