Our
people
Dr Peter Culmer
Title
Senior Translational Research Fellow (Surgical Technologies)Phone
0113 3431397Address
School of Mechanical Engineering
University of Leeds
Leeds
LS2 9JT
West Yorkshire
BHRC Role
STRF in Surgical Technologies
Mentors:
Prof. Anne Neville (Mechanical Engineering) webpage
Mr David Jayne, LIMM, Translational Anaesthetic & Surgical Sciences webpage
Research Interests
- Surgical technologies (haptics, robotics, sensors and actuators)
- Human motor control, learning and measurement
About
Pete Culmer graduated from the University of Leeds with an MEng degree in Mechatronics. He returned to undertake a PhD in healthcare technologies by designing novel control strategies for a robotic arm-rehabilitation system. He was awarded a post-doctorate position to advance this research and worked closely with a multidisciplinary team (including clinicians, therapists and psychologists) to evaluate the system in clinical studies involving people with stroke. The research has won industry awards from NHS Medipex, Scottish Health Innovations Ltd and National Instruments. He continued working in this multidisciplinary area in an NHS funded project to develop an instrumented walking-aid to improve gait.
In his STRF role he will work on the development of new surgical technologies for minimally invasive surgery, with a focus on oncology applications. The research will involve close integration with the surgical community to ensure it is effectively translated from the lab to the operating theatre.
Collaboration
Pete is involved in a long-running collaboration with Prof. Mark Mon-Williams (Institute of Psychological Sciences, University of Leeds) and Dr Justin Williams (Dept Child Health, University of Aberdeen Medical School) on ‘KiniLab’; a portable computer system for human movement assessment. He is currently working on its commercialisation with industrial partners.
Grants Awarded
● Co-Investigator on Leeds EPSRC Collaboration Grant.
Short-term funding to establish new interdisciplinary collaborations between the School of Mechanical Engineering and Institute of Psychological Sciences, University of Leeds
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