BioSystems

Biomedical engineering focuses on the application of engineering principles to problems in medicine and biology. The BioSystems faculty are leading research efforts in the physical and virtual modeling of circulatory systems, medical devices, and exercise performance optimization.

Our research focuses on developing comprehensive models of cardiovascular physiology that integrate computational simulations, clinical data, and experimental validation. Using simplified system-level (0D) representations, the lab investigates key physiological mechanisms—such as contractility, vascular impedance, and synchronization—to study disease progression, medical interventions, and patient-specific conditions.

Patient-Specific Physiology Modeling

Advanced techniques including machine learning, optimization, and mathematical modeling are applied to refine these models and tailor them to real-world clinical scenarios, enabling predictive insights into treatment outcomes and device performance. Complementing computational work, the research incorporates physiologically realistic in-vitro experiments and hybrid frameworks that couple simulations with physical testing (e.g., PSCOPE). This approach enables real-time interaction between medical devices and simulated physiology, improving design evaluation and reducing clinical risk. By further integrating patient-specific imaging and multiscale modeling, the work supports “virtual surgeries” and personalized treatment planning, advancing precision medicine through predictive, data-driven, and experimentally validated cardiovascular system analysis.

Hybrid Modeling Framework for Cardiovascular Biomechanics (Kung)

Right-side Mechanical Circulatory Support for Single Ventricle Patients (Kung)