The focus of the seminar series is to call for experts related to academia and research in the areas related to biomechanics, variability, motor disorders, physical therapy, and related studies. The series includes local and nationally renowned professors and specialists presenting findings, stimulating thinking, and creating collaboration ideas for the UNO students and faculty.

Presentation Abstract:

Predictive Computational Modeling Tools for Cardiovascular Biomechanics and Disease Diagnostics

Advances in computational technology and imaging modalities have enabled detailed in-silico investigations of cardiovascular mechanics and biomedical devices. However, despite these advances, the use of computational tools in clinical practice remains scarce. Predictive computational models, that can integrate imaging data and be readily translated to routine clinical workflows, can truly revolutionize biomedical research and innovation via high-resolution, non-invasive, in-silico analyses of complex biomechanical processes. In this talk, I will present our research on the development of robust, computationally efficient, medical image-based modeling tools and their combination with routinely acquired clinical data for risk-stratification in aortic dissection patients.

About Dr. Nama:

Nitesh Nama is an Assistant Professor in the Department of Mechanical & Materials Engineering at University of Nebraska-Lincoln. Prior to joining UNL, he was an American Heart Association postdoctoral fellow in the Department of Surgery at University of Michigan and earned a Ph.D. in Engineering Science and Mechanics, an M. A. in Mathematics, and a Ph.D. Minor in Computational Sciences, all from Pennsylvania State University. His research lies at the intersection of continuum mechanics, applied mathematics, medical imaging, and biomedical technologies with the broad goal to develop clinically-relevant, predictive computational capabilities in biomedical and cardiovascular systems. His research has been highlighted by several scientific news outlets and has featured as cover articles on prominent journals. His research has also been recognized by the Greenfield Research Award (2020) and the Robert A. Sebrosky Fellowship (2016).