{"id":9,"date":"2025-10-16T12:23:26","date_gmt":"2025-10-16T12:23:26","guid":{"rendered":"https:\/\/dais.stir.ac.uk\/?page_id=9"},"modified":"2025-10-16T12:30:10","modified_gmt":"2025-10-16T12:30:10","slug":"about","status":"publish","type":"page","link":"https:\/\/dais.stir.ac.uk\/","title":{"rendered":"About"},"content":{"rendered":"\n

The Data science And Intelligent Systems (DAIS)<\/strong> Research Group are a group of academics, researchers and PhD students within the Division of Computing Science and Mathematics at the University of Stirling. We are interested in the development, theory, and application of data-driven methods to understand, model and optimise the world<\/strong>.<\/p>\n\n\n\n

Data is all around us, and humanity generates over 2 quintillion bytes (that\u2019s a 2 followed by 18 zeroes) of new data every day. Cutting-edge techniques are able to make sense of this data and explore it for the greater good. DAIS researchers have embraced data to: inform<\/strong> healthcare decisions through modern statistical analysis; assist<\/strong> those with impairments communicate, using machine learning algorithms to spot c at the momenomplex patterns in sound and brain patterns; predict<\/strong> outcomes of complex systems, with intelligent models that explain their decisions so that they can be trusted; perceive<\/strong> the world through computer vision to assist with sight loss and monitor our environment from space; schedule<\/strong> planes to arrive on time and design<\/strong> buildings to be more comfortable and energy efficient through advanced optimisation methods; and understand<\/strong> how all these techniques work and fit together using novel visualisations methods. These are just some of the areas where our group is advancing knowledge.<\/p>\n\n\n\n

We are always happy to talk to companies and other academics about how we might work together. In the first instance please contact Dr Sandy Brownlee (alexander.brownlee@stir.ac.uk), DAIS group leader.<\/p>\n\n\n\n

News<\/h2>\n\n\n