Jason R. Kerrigan

Jason R. Kerrigan

Jason R. Kerrigan
Center for Applied Biomechanics (CAB)
The University of Virginia, USA


Dr. Jason Kerrigan joined the University of Virginia (UVA) Center for Applied Biomechanics (CAB) in 2002 as a graduate research assistant.  Jason completed his ME (Masters of Engineering) in 2005 and his PhD in 2007 in Mechanical and Aerospace Engineering at UVA.  Much of his research as a graduate student focused on the injury biomechanics of vehicle-pedestrian impact and lower extremity injuries sustained by pedestrians, vehicle occupants, and other road users.  Since then his research has turned to vehicle occupants involved in rollover crashes, and Jason leads a group of students and researchers at the CAB in studying injury biomechanics, vehicle crashworthiness and occupant protection for vehicle occupants involved in rollover and other crash modes.  Jason is currently a Senior Scientist at the UVA CAB, the Vice Chair of the Occupant Protection Committee of the Society of Automotive Engineers, and he actively reviews technical manuscripts for seven journals, has authored three book chapters, 42 refereed journal articles, and 54 conference publications. 

Research Interest

• Traumatic Injury Biomechanics
• Human Body Response to Impact Loading
• Rollover, Frontal, Offset, Side Impact, and Multiple Event Motor Vehicle Crashes
• Motor Vehicle Crash-Induced Injuries, Injury Mechanisms, and Injury Sources
• Vehicle and Occupant Crash Kinematics and Restraint Systems
•Vehicle Crashworthiness and Crashworthiness Evaluation Procedures
• Vehicle-Pedestrian/Cyclist Impact and Pedestrian Impact Protection
• Crash Reconstruction Techniques
•Epidemiology of Vehicle Crash-Involved Occupants and Vulnerable Road Users
• International Regulatory Efforts To Mitigate Pedestrian Injury
• Bone Plastic/Elastic Material Characterization
• Soft Tissue Constitutive Modeling
•Human Body Computational Modeling for Injury Assessment in Traumatic Impact
•Development and Biofidelity Evaluation of Crash Dummies and Human Computational Models
•Instrumentation and Imaging Methods for Dynamic Kinematics Measurement