Research and innovation

Access our facilities

Our researchers use a range of equipment from state-of-the-art visualization laboratories to cloud computing test beds

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Computational modelling at the wormery
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CRUK RadNet Centre

We're one of seven Centres of excellence to be awarded by Cancer Research UK to pioneer new radiotherapy technologies and techniques

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Alex Franji
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Funded PhD opportunities

Fully-funded PhD opportunities available in our Centres for Doctoral Training

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Computational medicine researcher
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Research and innovation

Our research ranges from fundamental advances in algorithms and our understanding of computation, through to highly applied research into new display technologies for clinical diagnosis, energy-efficient data centres, and profound insight into data through visualisation.

We have strong links with the Leeds Institute for Data Analytics, Robotics Leeds and the Leeds Institute for Fluid Dynamics. We're also a partner of The Alan Turing Institute, the UK’s national institute for data science and artificial intelligence. 

Our research

Our research covers several areas of robotics and artificial intelligence. Through this diversity we play a leading role in the global trend towards the re-integration of artificial intelligence.

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This research covers both applications in Biology, Medicine and Health, and corresponding fundamental advances in computing.

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The discipline of algorithms and complexity theory attempts to categorise computational problems according to the efficiency with which they might be solved in the large scale.

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We explore emerging issues regarding the performance of infrastructure and systems in the generation of distributed/internet computing.

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We focus on the analysis and implementation of fast, efficient, correct, and reliable numerical algorithms for physical problems, simulation, graphics, rendering, animation and visualization.

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We perform cutting-edge research in areas of fundamental and applied biomedical imaging and modelling.

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100%

of our research

has either ‘outstanding’ or ‘very considerable’ impact, latest REF

Over 40

academic and research staff

working with over 110 PhD researchers to deliver high-impact research

Over 85%

of our research activity is

‘world-leading’ or ‘internationally excellent' latest REF

Knowledge transfer

Sometimes you need specialist knowledge to help your business thrive, grow and innovate. Our aim is to make it as easy as possible for you to work with us, to access our research, expertise, training and facilities.

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To broaden our channels of knowledge transfer to industry and public sector organisations we founded the Yorkshire Computing Network. We welcome a cross-transfer of knowledge and information sharing.

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Every week we run seminars with speakers from within the School, other departments at the University and external organisations.

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