This list shows all of the project proposals for MSc dissertation projects from our research staff.
Please open the detailed project descriptions by clicking on the project names. You can search and filter the list using the controls below:

Projects list

Project title Supervisor MSc programme
My project proposal Advanced Mechanical Engineering, Applied Data Science, Brewing and Distilling, Brewing and Distilling with Entrepreneurship, Energy, Photonics and Optoelectronic Devices, Renewable Energy and Distributed Generation, Renewable Energy Engineering, Robotics, Autonomous and Interactive Systems, Stochastic Modelling and Computational Data Science, Telecommunications, Vision, Image and Signal Processing
Reservoir Rock Characterization by Image Analysis Mercedes Maroto-Valer Energy, Renewable Energy and Distributed Generation, Renewable Energy Engineering
Is underground energy storage an option for decarbonizing energy systems? Mercedes Maroto-Valer Energy, Renewable Energy and Distributed Generation, Renewable Energy Engineering
Artificial Intelligence (AI)-based identification of appliances in households from their electrical smart meter data Professor David Flynn Applied Data Science, Energy, Renewable Energy and Distributed Generation, Renewable Energy Engineering, Robotics, Autonomous and Interactive Systems
Modelling strategic behaviour of renewable generators in privately developed local networks Professor David Flynn Applied Data Science, Energy, Renewable Energy and Distributed Generation, Renewable Energy Engineering
Smart energy management for prosumers in local energy communities Professor David Flynn Applied Data Science, Energy, Renewable Energy and Distributed Generation, Renewable Energy Engineering
Predicting the Remaining Useful Life of Assets Professor David Flynn Advanced Mechanical Engineering, Applied Data Science, Energy, Renewable Energy and Distributed Generation, Renewable Energy Engineering, Robotics, Autonomous and Interactive Systems, Stochastic Modelling and Computational Data Science, Vision, Image and Signal Processing
Machine learning approach for recognition of partial discharge patterns for Gas insulted switchgear (GIS) Professor David Flynn Applied Data Science, Energy, Renewable Energy and Distributed Generation, Renewable Energy Engineering, Robotics, Autonomous and Interactive Systems, Stochastic Modelling and Computational Data Science, Telecommunications, Vision, Image and Signal Processing
Preschool and primary engineering Helen Bridle Advanced Mechanical Engineering, Applied Data Science, Brewing and Distilling, Brewing and Distilling with Entrepreneurship, Energy, Photonics and Optoelectronic Devices, Renewable Energy and Distributed Generation, Renewable Energy Engineering, Robotics, Autonomous and Interactive Systems, Stochastic Modelling and Computational Data Science, Telecommunications, Vision, Image and Signal Processing
Dual-polarization and dual-frequency antennas and arrays for 5G telecommunication systems Dimitris Anagnostou Renewable Energy and Distributed Generation, Renewable Energy Engineering, Robotics, Autonomous and Interactive Systems, Telecommunications, Vision, Image and Signal Processing
Low cost data acquisition system Keith Brown Renewable Energy and Distributed Generation, Robotics, Autonomous and Interactive Systems, Vision, Image and Signal Processing
CSV

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