Our lab is developing digital twins of the cardiovascular system through advanced computational modeling. These digital twins aim to simulate and predict cardiovascular signals and parameters across various conditions, facilitating the creation of innovative diagnostic methods and the personalization of treatments.

Objective

Develop digital twins of the human thorax to facilitate the design, testing, and validation of innovative diagnostic and therapeutic methods for a wide range of cardiovascular conditions

Skillsets

• Finite element modeling
• Computational fluids dynamic and fluid-structure interaction modeling
• Signal processing
• Machine learning

Researchers

Dr. Amirtahà Taebi

Principal Investigator

Current members involved