Digital twins in computational hemodynamics
Our lab is looking for hungry and foolish new undergraduate researchers working on digital twins for cardiovascular simulation. Specifically, we are looking for dedicated and resilient students to help us with a NIH-funded project on peripheral pulmonary artery disease.
You will be responsible to create cardiovascular models in SimVascular, tune boundary conditions so they match with patient-specific blood pressure/flow measurement, perform virtual surgery on patient-specific anatomical models using physics-based sculpting, and train deep neural networks to make predictions. You may also be responsible to contribute models to the vascular model repository.
Our group is actively conducting research at the interface of various disciplines, including:
- Numerical analysis applied to cardiovascular modeling.
- Data-driven physics-informed modeling and deep learning.
- Solution of inverse problems with focus on numerical hemodynamics.
A paper that was recently published by an undergraduate student working in our lab can be found at this link.