Roman Bumberger Dipl.-Ing., BSc
PhD Research Student
Roman was born in Austria. There he attended a technical high school for Mechatronics, Robotics and Automation Engineering. After serving for two years in the Austrian Army he started studying Mechanical Engineering at the Technical University of Graz. In Austria, he focused his research on robotics and computational engineering. His master's thesis was about developing a six-dimensional positioning device (hexapod). After finishing his master's degree in 2015 he moved to UK to do a PhD at Loughborough University. His research is about vehicle safety, he is developing a parametric cervical spine model for rear-end accidents to predict the whiplash injury risk.
In his free time, Roman loves to be outdoors doing sports; his other interests are dancing salsa and travelling to historical important places. Roman is also a qualified paramedic.
Oct 2015 – Oct 2018:
PhD Researcher for Vehicle Safety at Loughborough University - The objective of my research is to develop a parametric biofidelic computer model which is capable of simulating whiplash motion in rear-end accidents.
Sept 2013 – Aug 2015:
MSc Mechanical Engineering at Graz University of Technology, Austria (www.tugraz.at/en) - The 2-year long master program specialized on Computational Engineering, Mechatronics and Manufacturing Engineering (Upper Second-Class-Degree).
Oct 2012 – June 2013:
Mechanical Engineering at Loughborough University (Student Exchange)
Oct 2009 – March 2014:
BSc: Mechanical Engineering & Business Administration at Graz University of Technology, Austria (www.tugraz.at/en) - With the main focus on Mechanical Engineering this study program included additional Business Administration lectures to learn essential Economic skills for Engineers. Extended studying time due to:
- 9 months Student Exchange at Loughborough University;
- 10 months Training at Austrian Army;
- 7 months’ time overlap between BSc and MSc programme.
PhD Thesis Title: A Computational Model for Patient Specific Whiplash Investigations.
Whiplash is a general term used to describe minor injuries to the neck, mostly as a result of a rear-end motor vehicle collision. Although the injury is minor, the long-term symptoms to the occupants, e.g. neck pain, stiffness, and concentration difficulties among others, result in high costs for insurance companies. Furthermore, whiplash injuries are difficult to detect since diagnostic tools such as X-rays, CT (Computed Tomography) scans or MRI (Magnetic Resonance Imaging) are not suitable to detect the location or the extent of the injury. The injury mechanisms are not fully understood; in addition gender differences have not been fully addressed. On average, females have a three times higher injury rate compared to males.
The objective of this research is to develop a parametric computational model which is capable of mimicking whiplash motion in rear-end impacts for both male and female subjects. The intended dynamic simulations study will enhance the knowledge regarding the whiplash risk of specific patient groups, noting that very little work has been done with respect to women.