Applied Mathematics


Staff in the Applied Mathematics research group share a common interest in the application of analytical and numerical mathematical methods to problems that arise in industrial or engineering contexts. Group members, all of whom work in the School of Computing and Mathematics, made significant contributions to the Electrical and Electronic Engineering, and Mechanical, Aeronautical and Manufacturing Engineering submissions to the 2008 Research Assessment Exercise and 2014 Research Excellence Framework. Current areas of interest include Applied Fluid Dynamics, Materials Science and Applications of Stochastic and Optimisation Algorithms.

The group has an active seminar and talks programme.

Research Opportunities:

  • Applied and computational fluid dynamics
  • Dynamical systems
  • Financial mathematics
  • Numerical simulations using High Performance Computing and GPGPUs
  • Stochastic algorithms


In addition, the group was home to the award (July 2014) of NVIDIA GPU Research Center status, led by Dr Matthew Craven, and renewed for the consecutive years of 2015-16 and 2016-17. Colleagues from an interdisciplinary team spanning CMS and Computing carried out research ranging from Particle Physics, Monte-Carlo Simulations, Data Analysis and Visualisation supported by hardware from NVIDIA. There were publications and working papers resulting from this initiative, including in the Journal of Supercomputing and the GPU Technology Conference.

The centre continues as the Plymouth GPU Research Centre, a pan-school initiative aimed to tackle impact-generating problems. We aim to utilise GPU architectures in order to streamline algorithmically intensive codes and take advantage of localisable methods (where large numbers of calculations are performed but with little communication). In addition, we wish to spread the use of GPU technology in research at the University of Plymouth in order to take advantage of the step change in computing power. Plymouth also has much experience in the application of HPC from the established supercomputing cluster on campus.