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We have 57 Software Engineering (self) PhD Projects, Programmes & Scholarships

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Software Engineering (self) PhD Projects, Programmes & Scholarships

We have 57 Software Engineering (self) PhD Projects, Programmes & Scholarships

Application of predictive control to fast systems

Predictive control is relatively unwieldy and therefore does not lend itself to applications requiring fast sample rates. However many recent developments have looked at how the algorithm can be implemented both more efficiently in time and with relatively simple coding requirements. Read more

Sequential Monte Carlo Methods for Bayesian Inference in Complex Systems

This project will focus on the development of Bayesian inference methods such as sequential Markov Chain Monte Carlo (MCMC) methods for filtering and smoothing of states and parameters of complex nonlinear systems. Read more

Multi-Sensor Data Fusion and Smart Decision Making

Future intelligent systems will involve the deployment of large-scale sensor networks in which hundreds or thousands of microsensors, unexpensive, small and lightweight devices with integrated sensing, computing, communication and possibly actuation capabilities will work together to achieve a common mission-specific task. Read more

Multi-rate and/or non square systems and/or decentralised control

In many chemical processes there are limitations on the sampling rates and the number of inputs and outputs may not match. This affects the structure of the control law as one ends up with a so called multi-rate or non-square system , for which conventional control design is not applicable. Read more

Robotics, Biomechatronics and Control

This project covers themes of bioinspiration for robotics and control but also include non-bioinspired areas that might focus on industrial or healthcare/medical applications. Read more

Computationally efficient modelling & simulation and applications

The advent of easily accessible high performance computers or computer clusters and numerical techniques such as finite element methods (FEM) facilitates the highly accurate modelling and simulation of complex systems in diverse science and engineering disciplines including civil engineering, biomechanics and life science. Read more

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