Accurately and efficiently fitting surfaces to measured data

Study level


Master of Philosophy


Vacation research experience scheme

Topic status

We're looking for students to study this topic.


Professor Timothy Moroney
Professor in Mathematics
Division / Faculty
Science and Engineering Faculty


Many problems in applied mathematics require the reconstruction or extrapolation of a surface based on (limited) measured data points on the surface.

An example of this includes reconstructing physical surfaces from information in photographic, point scanner or medical imaging data. Less obvious examples include extending a mathematical surface defined only locally to something defined globally: this has application in modelling moving interfaces in fluids.

With these problems it's important to consider how to accurately and efficiently calculate the surface and how to ensure it meets the required properties.

Research activities

This project would involve one or more complementary approaches in designing computational algorithms for surface fitting and extrapolation, based on your background and interests.


We expect to uncover new insights and understandings related to the research project. We also intend to develop software as well as publish a series of research articles.

Skills and experience

In order to be considered for this project, you should have skills and/or experience in computational methods in MATLAB.

It would also be desirable if you have skills and/or experience in partial differential equations, computational linear algebra and high performance computing.


You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round



Contact the supervisor for more information.