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predictive PhD Projects, Programmes & Scholarships
We have 121 predictive PhD Projects, Programmes & Scholarships
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How should we offer predictive genetic testing for families with genetic MND?
Motor Neuron Disease (MND) is a progressive neurological condition causing weakness. In around 20% there is an identifiable genetic cause. Read more
Model Predictive Control for Autonomous Vehicles and Robots [Self Funded Students Only]
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more
Model Predictive Control for Autonomous Vehicles and Robots [Self-Funded Students Only]
Research Group:
Visual Computing
Model predictive control (MPC) is a family of modern control methods that have demonstrated impressive performance in a variety of scenarios, including in robotics and autonomous vehicle control. Such methods rely on models that can predict a system's future behaviour in response to control inputs in order to find the optimal actions that drive the system to a desired state. Read more
Enhanced Deep Learning and Semantic-based Predictive Analytics for Reactive IoT Streaming Data and Applications
The emergence of Internet of Things (IoT) has formed a bridge that connects most of the real-world entities with the related computing entities. Read more
Computational efficiency and simplicity in predictive control for linear and non-linear systems
Predictive control (MPC) is by now a well-established methodology whereby one bases the design of the control law on the optimisation of system predictions. Read more
Nonlinear Model Predictive Control
Optimization-based control explores the use of optimization algorithms for feedback control of dynamical systems. For example, model predictive control (MPC) is a widely used optimization-based control method, allowing systematic and optimal handling of constraints, nonlinearities and uncertainties. Read more
Optimising Sustainable Construction with Artificial Intelligence: Integrating Machine Vision, Natural Language Processing, and Predictive Analytics
This PhD research focuses on exploring the applications of Artificial Intelligence (AI) to optimise and enhance sustainable construction practices. Read more
Predictive control of crystallisation through correlative studies of molecular fragments
This interdisciplinary project presents an exciting opportunity for an ambitious scientist or engineer to work across the boundaries of chemistry, physics and engineering, with opportunities to develop a broad portfolio of skills. Read more
Building connections between model predictive control and neural networks
Feedback control enables dynamical systems to interact autonomously and safely with the real-world. The classical approach to feedback control system design involves first identifying a model of the system and then solving an optimal control problem to generate a control policy. Read more
Predictive Emergency Service Operations Planning [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Aims. The objective of this project is the exploration of the frontier between demand forecasting and operations planning to devise predictive, intelligent, and adaptive strategies in the context of emergency services (e.g., policing, fire services, medical services). Read more
Improving the Predictive Capability of Type-Token Models
This project will assess the predictive capability of type-token models using a range of complex systems, with a view to identifying their respective strengths and weaknesses. Read more
Computational efficiency in predictive control
Predictive control requires the online solution of an optimisation problem which carries both a large online computation as well as the overhead of substantial code. Read more
Cleaner coal technology - Developing new predictive tools for improving the combustion processes for coal/biomass fuels
Coal-fired power generation currently accounts for approximately 30% of the total energy market share globally and contributes a significant portion of the total emissions to the atmosphere. Read more
Predictive and optimization-based control of smart grids: theory and algorithms
Model predictive control (MPC) has long been identified as a leading candidate technique for control in future power networks and smart grids, because of its ability to handle constraints and optimize the performance or economy of the system. Read more
Development and Validation of Security Metrics and Predictive Models for Blockchain Ecosystems
Background. Blockchain technology is a transformative innovation that has the potential to disrupt various sectors including finance, healthcare, and governance. Read more
