Our research covers a diverse range of interdisciplinary areas, informs our teaching and has strong links with industry.
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In the MRL, computer scientists, psychologists, sociologists, engineers, architects and artists collaborate to explore the potential of ubiquitous, mobile and mixed reality technologies to shape everyday life.
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Our research and teaching are primarily around the application of novel optimisation and learning methods in real world applications, with a strong theoretical input.
The Computer Vision Lab (CVL) is a multidisciplinary group performing basic and applied research in image manipulation, image analysis, computer vision and related areas of machine learning.
Research within CybSec is focused upon formal and human-centric aspects of cyber security, with an interdisciplinary perspective that considers the intersection of security technology and those who use it.
The aim of the FPL is to develop simple but powerful techniques for writing and reasoning about programs, by recognising and exploiting their underlying mathematical structure.
The IMA is established in end-to-end data modelling and analysis. We are an inter-disciplinary research group focusing on the development of models and techniques for real-world and multifaceted problems in data analysis.
LUCID was founded in early 2016. It brings together a number of researchers with the purpose to advance our understanding of how to capture, model and reason with uncertain data.
Research spans the specification, design and implementation of agent-based systems, including logics for agents, agent programming and verification, and the application of agents in simulation and virtual environments.
We have produced the Collaborative research in the School of Computer Science: Making a difference brochure to showcase the various ways the school has worked in partnership with industry, featuring case studies and information from across all research groups.
World-class talent, working in multidisciplinary teams and with inspiring leaders, are at the heart of capturing new ideas and translating these into world-changing solutions.
As a research-led institution, the University of Nottingham recognises the value and contribution of early career researchers in delivering its ambitious, high-quality research vision. In order to enhance this vital aspect of our research network we will recruit 100 Nottingham Research and Anne McLaren Fellows by the end of 2020.
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The Research Administration and Support Team for the School of Computer Science can be contacted at email@example.com for general queries about our research.
University of NottinghamJubilee CampusWollaton Road
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