Masters and UG Projects

I can supervise projects in the following areas:

    • Deep learning applied to images particularly medical images.

    • Deep learning applied to engineering data, such as time series from Wind farms.

    • Programming the IBM quantum computer for eigensolvers.

    • Analysis of data from graphene biosensors. This will use a machine learning technique called Gaussian processes.

Below are some of the projects I have supervised at the University of Plymouth.

Past Masters projects

Projects as part of MSc Data Science and Business Analytics.

    • 2017-2018 The relationship between the life satisfaction of the citizen in European countries and their academic level

  • 2018-2019 Using machine learning models to classify and detect avian wildlife around wind farms using time-lapse images.

  • 2018-2019 The use of machine learning to study the performance of wind farms.

  • 2019-2020 A comparison of machine learning methods for the prediction of locational crime rates

  • 2019-2020 Applying Convolutional Neural Networks to Medical Image Analysis

Past Undergraduate Projects

I have mostly supervised 1 semester long group projects.

    • 2019-2020 Analysis of Broadband Data (Project based on data from BT research)

    • 2019-2020 Advanced visualiztion in the Immersive Vision Theater.

    • 2019-2020 The power of quantum computing. (Using the IBM quantum computer.)

    • 2018-2019 Studying quantum transport in graphene using Kwant

    • 2018-2019 Studying the effect of a uniaxial strain on graphene. (Simulation using pybinding).

    • 2017-2018 Using the .finite element method to solve partial di.differential equations. This used the FENICS python package.