Research and innovation

Innovative project to turn AI research into new businesses

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Abstract image of a screen of computer programming code
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Mapping buried infrastructure

Scotland now has a unique mapping system that provides real-time, integrated data of buried infrastructure as a result of our research

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Long view of Scotland city
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Human-like robots

Our researchers are pioneering ‘human-like planning’ in robots, which could have applications in settings ranging from healthcare to agriculture

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Artificial intelligence
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Research seminars

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

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Speaker at Computer Science conference
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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. 


“world-leading” or “internationally excellent”

Submitted research – REF 2021


academic and research staff

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



Submitted impact case studies – REF 2021

Our research

Our interdisciplinary research is conducted across the following key research areas, and the Centre for Computational Imaging and Simulation Technologies in Biomedicine, which spans Computing and Medicine.

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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Collaborate with us

Our aim is to make it as easy as possible for you to access to our world-leading knowledge, facilities, expertise and technologies.

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Benefit from our wide range of specialist facilities, from state-of-the-art visualization laboratories to eye tracking and cloud computing.

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