Dr Matthew NunesLecturer in Statistics
My research is primarily in the area of developing multiscale methods for analyzing signals, such as time series and images. These methods capture information in signals by examining them at different scales or frequencies via wavelet transforms. I am particularly interested in applications of wavelet lifting schemes in non-standard data collection situations, for example irregular sampling regimes in time or space.
PhD Supervision Interests
I am interested in supervising PhD students in the broad areas of time series and image analysis, as well as multiscale (wavelet) methods in statistics and analysis of network data. Please see here for more details and example projects.
- Changepoints and Time Series
- Modelling and Inference
- STOR-i Centre for Doctoral Training