Vijay Vedula

The Vedula group aims to advance clinical management of cardiovascular disease using computational modeling. We are developing novel computational techniques for performing patient-specific modeling of the cardiovascular system aimed at understanding the role of biomechanical factors in disease and development, device design, and `virtual' surgery planning. Computational modeling combined with machine learning and data-mining strategies provides unprecedented opportunities to not only examine acute response to treatment, but also predict and risk stratify patients susceptible to long-term remodeling and dysfunction.

The Vedula group is involved in developing multiscale-multiphysics models of the heart coupling cardiac electrophysiology, tissue mechanics, blood flow and valvular interactions, thereby creating an integrated heart model, that could be used to study a variety of cardiac and valvular diseases. A few applications that we are particularly interested in include, myocardial infarction and heart failure, valvular calcifications and repair, remodeling and dysfunction in congenital heart disease, aortic dissections and repair, cardiomyopathies, etc. We are actively collaborating with cardiologists and cardiothoracic surgeons for understanding the unmet clinical needs and thereby, provide engineering solutions with a goal to improve patient-management and provide a better quality of life. The techniques developed in our group could also find their utility in other traditional mechanical and aerospace engineering applications.