My research focuses on computational injury biomechanics and imaging applications to create human body computational models for industry, government and academic applications. I partner with industry to develop realistic virtual body models for automotive crash tests and medical device evaluation, as well as to create biofidelic phantoms for medical device development and testing applications. In addition, I collaborate throughout the School of Medicine, from biostatistics (injury metric development and risk analysis) to neurology and plastic surgery (bioheat transfer).
Current Research Projects
- Global Human Body Models Consortium, LLC; GHBMC Center of Expertise in Full Body Models – Phase III – In Phase III of the program, Contractor leverages data acquired and the knowledge developed during Phase II to advance the project and to develop model enhancement, new model development, pre-and post-processing and interaction with body region model COEs. Funding: GHBMC
- Warrior Injury Assessment Manikin (WIAMan) Biomechanics Product Team – This study involves data processing and analysis, including application of scaling techniques, biofidelity response corridor generation, and injury risk curve formulation in support of a variety of experimental tests conducted for development of an anthropomorphic test device for military and blast loading environments. Funding: DOD/JHU
- Crash Injury Research and Engineering Network (CIREN) – We investigate seriously injured motor vehicle crash occupants and pedestrians treated at our Level I trauma center. Our team conducts detailed crash investigations to collect engineering evidence from the crash scene and vehicle. This evidence and the occupant's medical and radiology data is used to determine injury causation. Funding: NHTSA
- Exploring Physics-based Finite Element Analysis of Service Members Subjected to Extreme Environments – Research the potential to use a physics-based model of the human body to provide insights and guidance on the injury risk that service members may experience when subjected to severe loading conditions. Funding: DOD