Dr David Smith
I initially came to Brunel in 2004 as a research associate responsible for developing and testing imaging and spectroscopy detectors for use in space before being appointed as a lecturer in 2006. I work in the Sensors and Instrumentation group where I apply my detector and instrumentation knowledge to a variety of fields, including space research, medical research, particle physics and radiation dosimetry. I am involved with the teaching of a number of undergraduate and postgraduate modules in the College of Engineering, Design and Physical Sciences and I coordinate the Level 1 Multi-Disciplinary Project.
- CEDPS Associate Dean (Student Experience)
- Chair of the University Academic Appeals Committee
- Member of Senate
- CEDPS Research Ethics Committee ECE Departmental Representative
- Radiation Protection Supervisor
Newest selected publications
del Pozo, S., Ribton, C. and Smith, DR. (Accepted) 'Investigation of RF and DC plasma electron sources for material processing applications'.18th IEEE International Vacuum Electronics Conference. London, UK.Open Access Link
Suthakar, U., Magnoni, L., Smith, DR. and Khan, A. (Accepted) 'Optimised Lambda Architecture for monitoring scientific infrastructure'. IEEE Transactions on Parallel and Distributed Systems. ISSN: 1045-9219 Open Access Link
Metcalfe, A., Fern, G., Hobson, P., Ireland, T., Salimian, A., Silver, J., (2017) 'Development of high temperature, radiation hard detectors based on diamond'. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment, A845. pp. 128 - 131. ISSN: 1872-9576 Open Access Linket al.
Metcalfe, A., Fern, G., Hobson, P., Smith, DR., Lefeuvre, G. and Saenger, R. (2017) 'Diamond based detectors for high temperature, high radiation environments'. Journal of Instrumentation, 12 (January). ISSN: 1748-0221 Open Access Link
Suthakar, U., Magnoni, L., Smith, DR., Khan, A. and Andreeva, J. (2016) 'An efficient strategy for the collection and storage of large volumes of data for computation'. Journal of Big Data, 3 (21).Open Access Link