This project combines novel low-THz (LTHz) sensor development with advanced video analysis, fusion and cross learning. Using the two streams integrated within the sensing, information and control systems of a modern automobile, we aim to map terrain and identify hazards such as potholes and surface texture changes in all weathers, and to detect and classify other road users (pedestrians, car, cyclists etc.).
Signal Processing is fundamental to the capability of all modern sensor weapon systems and the Defence Technology Strategy identified the development and application of signal processing techniques as high priority technical challenges within the MOD research agenda.
The UDRC is a leading partnership between industry, defence and is academia led and focuses on sensor signal processing for defence.
IMPACT is a 5-year, £5.2M research project, funded by an EPSRC Programme Grant, to develop new approaches to cancer treatment, using implanted, smart sensors on silicon, fabricated in the University's Scottish Microelectronics Centre. IMPACT will use miniaturised, wireless sensor chips the size of a grass seed to monitor the minute-to-minute status of an individual tumour. This will allow RT to be targeted in space and time to damage cancer cells as much as possible. The team consists of engineers, chemists, veterinary clinicians, social scientists and human cancer specialists, led by Prof Alan Murray from the University's School of Engineering.
An industry-funded collaboration between Samsung's Global Research Outreach (GRO) Program and the Schools of Chemistry and Engineering at the University of Edinburgh.
The aim is to develop a new understanding of the micromechanics of railway trackbed subjected to dynamic loads induced by high speed trains. This should lead to safer design of high-speed railway systems which require less maintenance and, therefore, are more sustainable.
This project aims to create a generally applicable framework for transferring academic innovations in the modelling of particulate materials into industrial practice in the UK. The process of twin-screw granulation has been selected as an exemplar industrial process which is simulated across multiple scales using the coupled methods of population balance modelling and the discrete element method.
Wave energy has a great potential as renewable source of electricity. Studies have demonstrated that significant percentage of world electricity could be produced by Wave Energy Converters (WECs). However electricity generation from waves still lacks of spreading because the combination of harsh environment and form of energy makes the technical development of cost effective WECs particularly difficult.
This project is aimed to develop a novel process for producing ultrapure hydrogen from synthesis gas originating from coal gasification. The coal-to-H2 process is integrated with a pre-combustion carbon capture process for de-carbonising the syngas and the integration results in improving H2 yield at the H2 Pressure Swing Adsorption (PSA).
A project, funded by PhD scholarships from the Islamic Development Bank and EPSRC (via the Doctoral Training Grants) is underway looking at the efficiency of meso-scale waste stabilization ponds to treat municipal waste water, with resource recovery from fish farming and selling sludge for fertilizer. The ultimate aim is to demonstrate systems that can be adpoted and run by communities, particularly in urban West Africa. The pilot project is based in Cotonou, Benin.
