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Maths & Computing PhD Research Projects

We have 1,661 Maths & Computing PhD Research Projects

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We have 1,661 Maths & Computing PhD Research Projects

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Towards better representation of surface-subsurface flow interactions in urban areas particularly during extreme events (OP2256)

Detailed flood models are increasingly used to assess future flood risk in cities and catchments, and to design flood attenuation features including green infrastructure (GI) which reduce the amount of water entering drainage systems via infiltration, transpiration and storage. Read more

Dynamic Pricing and Learning

Main research aims. This project is on dynamic pricing and learning. statistical learning combined with price optimization. The precise content will depend on a survey of key literature and the strengths and interest of the research team. Read more

Nonlinear wave description of glacial outburst floods (OP2253)

Glacial outburst floods, or jökulhlaups, are a major hazard in many actively glaciated regions. They can be generated by a wide range of mechanisms such as ice-dammed lake drainage, glacier surges and subglacial volcanic activity. Read more

Dynamical system approaches for solving variational inequalities

Variational inequalities (VIs) are a powerful mathematical model which unifies important concepts in applied mathematics like systems of nonlinear equations, necessary optimality conditions for optimisation problems, complementarity problems, obstacle problems, or network equilibrium problems. Read more

Efficient methods for solving clustering-with-hyperplane problems

Clustering is one of the central problems in machine learning. In its classical paradigm, the clustering problem asks for partitioning a given dataset into k clusters in such a way that the distance between each point and the centroid of the corresponding cluster is minimized. Read more

Matrix Optimization in Machine Learning

Optimization has become an essential part of modern machine learning and data analytics. Linear algebra and matrix analysis play an important role in developing fast, reliable and applicable machine learning algorithms in a wide range of disciplines. Read more

Data Driven Modelling to Support Health Care

Health care services globally are in a state of flux due to the devastation caused by covid-19 (Currie et al. 2020). More positively, there has also been a huge increase in the amount of routinely-collected data within the health service. Read more

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