Setting up a research project
The School undertakes high-quality research of significant national and international impact and our range of expertise allows us to respond rapidly to new developments.
The 2014 Research Excellence Framework (REF) is an independent survey of research within UK universities. Based on the REF, engineering at Kent was ranked 21st in the UK for research intensity. An impressive 89% of our research-active staff submitted to the REF and 98% of our research was judged to be of international quality.
The School of Engineering and Digital Arts supports several research groups – all producing research of international quality.
The Communications group’s research interests include antennas, microwave and millimetre wave circuits and measurements, and optoelectronics. The antennas research covers frequency selective surfaces, printed and microstrip antennas and photonic band gap materials.
Work covers frequencies ranging from 1MHz to 900GHz and finds applications in vehicle telematics, mobile communication systems and radar and satellite technology. Research into high frequency transmission lines and circuit integration is developing novel guiding and packaging technology. Modelling and simulation tools are widely used in the research, verified by experimental work.
Instrumentation, Control and Embedded Systems
The Instrumentation, Control and Embedded Systems research group has a range of academics working in complementary research themes – instrumentation, control and embedded systems. The group has established a strong reputation in recent years, solving challenging scientific and technological problems across a range of industrial sectors.
The group is also involved in medical instrumentation research in the area of noninvasive physiological measurement; mostly carried out in collaboration with clinicians, who are experts in their field.
Our team working, within the Intelligent Interactions group, has interests in developing techniques for image processing, image analysis, and pattern recognition, and in applications of these techniques. A principal area of interest is the development of generic techniques for optimal multi-classifier design for pattern recognition applications.
Handwriting analysis is both an application domain of intrinsic interest, and also as a medium for assessing neurological functioning in clinical environments – the assessment of stroke patients and the analysis of Developmental Coordination Disorder in children are currently important areas of research.