Research within the Computing Science and Mathematics division is conducted under the umbrella of 3 research groups:
The Biological Modelling Research Group develops innovative inter-disciplinary computational and mathematical modelling approaches to high impact real-world problems and to deepen our understanding of the environment in which we live.
For more information, go to the Biological Modelling page.
We are a group of inter-disciplinary scientists exploring, developing, and applying brain-inspired computational techniques, search and optimisation methodologies, evolutionary computation and signal processing to a wide range of real-world, data-driven problems.
For more information, go to the Data Science and Intelligent System page.
We focus on the development of computational and mathematical methods to solve complex dynamic problems. We use techniques from symbolic computation, exponential analysis, metaheuristic and stochastic search methods, multi-objective and constrained optimisation, Bayesian inference, and differential equations.
For more information, go to the Computational Mathematics and Optimisation page.
The Vision and Image Processing group at the University of Stirling is an interdisciplinary research group conducting fundamental research in image & signal processing, computer vision, text & language processing and visual perception. Application areas include object recognition, scene understanding, surveillance & security, face recognition, media forensics, activity recognition, medical image processing, hardware development, blockchain etc.
For more information please go to the SVIP page.
In addition to the research defined by the groups above, staff are also active in the university's cross-disciplinary research themes of Health and Behaviour, Global Security and Resilience and Culture, Communities and Society. Under these themes we lead the research programmes in Being Together, Global Food Security and Contextual Learning in Humans and Machines