PhD student projects

Novel Design, Development and Deployment of Wide Area Monitorong Systems on a Cloud Computing Platform
The PhD student research project will investigate and develop innovative cloud computing approaches to enable a scalable and secure analysis of massive Phasor Measurement Unit data using state of the ...

Professor Gareth Taylor

All year round

Self Funded

Benchmarking Machine Learning Algorithms
Machine learning algorithms are employed in a myriad of applications in almost any domain, be it industrial, commercial, scientific or academic. Many techniques have been developed to tackle such a di...

Dr Liliana Teodorescu

All year round

Self Funded

Pulse Shape Analysis for Radiation Detection with Machine Learning
Pulse Shape Analysis is an electrical signal processing method which allows the identification of radiation particles or their interaction properties based on the shape of the electric signal produced...

Dr Liliana Teodorescu

All year round

Self Funded

Novel approaches for complex nonlinear equation systems
In this project, we aim to investigate a novel method that works by transforming a system of equations into a multiobjective optimisation problem (MOO). The method tries to overcome the following issu...

Dr Crina Grosan

All year round

Self Funded

Design human-like machine learning
A study of the publications available via PubMed alone (a database of 26 million references to biomedical publications), shows that only four machine learning models (linear regression, Bayesian reaso...

Dr Crina Grosan

All year round

Self Funded

Brain wave analysis and modelling with graph signal processing
Brain wave analysis and modelling is an increasingly important research area, not least because of its applications in bio-medicine, rehabilitation, and next-generation human-computer interfaces. This...

Dr Nikolaos Boulgouris

All year round

Self Funded

Development of android middleware for wearable data analytics and recommendations on the go
Wearable technology comes with the promise of improving one’s lifestyles thru data mining of their physiological condition. The potential to generate a change in daily or routine habits thru these dev...

Professor Marios C. Angelides

All year round

Self Funded

Artificial Intelligence and Additive Manufacturing
The next generation of Additive Manufacturing (AM) technologies will utilise the aspect of Artificial Intelligence (AI) to enable better design and manufacturability of parts. The aim of this PhD is t...

Dr Eujin Pei

All year round

Self Funded

Virtual Reality for 4D Printing
The next generation of Additive Manufacturing technologies will utilise the combination of different digital media with Computer-Aided Design to represent multi-functional structures. The aim of this ...

Dr Eujin Pei

All year round

Self Funded

Developing Computer Models for 4D Printing / Additive Manufacturing
4D Printing has been recognized to herald the next generation of Additive Manufacturing components that are intelligent to perform a series of controlled and programmed shape-deformation over time whe...

Dr Eujin Pei

All year round

Self Funded

Exploring the potential of human-like computing methods and applications in education or healthcare
Intelligent, ‘human-like’ applications, 3D games, and interfaces are becoming more common in our everyday lives, and as an important area of focus within the fields of Multimedia / Human-Computer Inte...

Dr Arthur Money

All year round

Self Funded

Investigating the value of using emotionally intelligent artificial conversational agents to carry out assessments in higher education or healthcare.
Artificial conversational agents can be embodied (physical robots or digital avatars on a screen) or not embodied (chat-bots or digital assistants). Agents may be able to converse but they can also ap...

Dr Arthur Money

All year round

Self Funded

Design of Experiments for Network Science
Design of Experiments (DOE) is a research area within statistics that allows scientists to maximise the amount of information derived from an experiment. Developed (significantly by RA Fisher) initial...

Dr Ben M. Parker

All year round

Self Funded

Emotion Recognition for Intelligent Human Computer Interaction
Emotion is a complex thing for human beings. It can reflect the mental and cognitive state of the person. Automatic detection of the emotions from facial expression, speech, written text in social med...

Dr Hongying Meng

All year round

Self Funded

Intelligent human-computer interaction: system development and applications
The first generation of Artificial Intelligence (AI) research was rules-based and emulated classical logic to draw reasoned conclusions within a specific, narrowly defined problem domain. It was well ...

Dr Hongying Meng

All year round

Self Funded

Modelling the movements of goods between locations and countries
The aim of this project is to create an agent-based model that mimics the movement of goods between locations and trading individuals in a given country-specific setting. The idea of this model is to ...

Dr Derek Groen

All year round

Self Funded

Designing interactions with digital money
The PhD will explore how people use and interact with money to explore how digital systems can be designed for more effective and suitable purposes. This topic could cover consumer payment systems, pe...

Dr Mark Perry

All year round

Self Funded

Identifying Micro-service architectural erosion or inconsistency
Micro services are becoming popular amongst technology providers, transportation industry etc. These not only claim to provide solution to the traditional problems such as agility, saleability, mainta...

Dr Nour Ali

All year round

Self Funded

Development of machine learning methods to redesign protein dynamics
Protein function is often coupled with conformational changes. This project is aimed at developing machine learning methods to inform protein design. The student will be required to design, develop an...

Dr Alessandro Pandini

All year round

Self Funded

Machine learning for biometric identification
Biometric identification aims to recognize people's identity through the use of signals or images from which one can extract features that are distinctive to each person. This PhD project will focus o...

Dr Nikolaos Boulgouris

All year round

Self Funded

Geometric deep learning
Deep learning has had tremendous success in a variety of applications. Nevertheless, many data don’t follow a euclidean underlying structure: for example social networks, sensor networks, types of bra...

Dr. Alina Miron

All year round

Self Funded

Multi-fidelity Modelling of Electronics Cooling
Electronics cooling is critical to the reliable performance of a vast array of todays technologies including datacentres, electric vehicles, avionics, telecommunictions to name only a few. Pertinent t...

Dr. James Tyacke

All year round

Self Funded

Mapping Software Systems based on Domains
This project is based on inter-disciplinary research: on the one hand, it is a Computer Science project, where a good understanding of software programming is needed. On the other hand, it is a Biolog...

Dr Andrea Capiluppi

All year round

Self Funded

Software Architecture Recovery and Consistency of Mobile Applications
Project Summary: Mobile applications are being developed by new platforms such as Android with their own programming languages, e.g., Java version for Android. Currently, mobile applications are small...

Dr Nour Ali
Dr Rumyana Neykova

All year round

Self Funded

Optimisation methods for (deep) neural networks
A machine learning algorithm can be viewed as a mapping between inputs and outputs, with the scope of optimising and tuning the parameters that describe it so that the performance is improved. The los...

Dr Crina Grosan

All year round

Self Funded

Novel machine learning methodologies for human action correction in videos
The goal of this research is to motivate patients with disabilities to get better in a faster, easier and fun way. It will apply artificial intelligence methods to a software that turns traditional ph...

Dr Crina Grosan

All year round

Self Funded

Autonomous 5G Networks
5G Networks are expected to support many use cases ranging from autonomous vehicles, e-health, industry 4.0, entertainment, transport, smart cities etc. which will place a wide range of technical requ...

Professor John Cosmas

All year round

Self Funded

Deep Learning for Video Compression
This project will firstly examine and analyse deep learning techniques particularly in the context of their applicability to ultra high resolution (4K/8K) image/video compression. The project will loo...

Professor Abdul Sadka

All year round

Self Funded

Artificial intelligence technology development for medical applications
In this project, advanced deep learning algorithms will be developed for medical data (e.g. biomedical signals, images, sound, touch, pressure, etc.). The sensors will be studied, signal processing me...

Dr Hongying Meng

All year round

Self Funded

Neuromorphic-computing models and its applications
Neuromorphic-computing models are the ones that can simulate human brains architecture and connections. It is composed of large numbers of neurons and nonlinear connections. The developed deep neural ...

Dr Hongying Meng

All year round

Self Funded

Investigating methods and applications of citation context analysis
Traditionally, scientometric/text-mining approaches have treated the content of scientific articles and their citations as distinct units of analysis. The term “citation context” refers to an approach...

Dr Timothy Cribbin
Dr Arthur Money
Professor George Ghinea
Dr Stasha Lauria

All year round

Self Funded

Exploring the potential of human-like computing methods and applications in education or healthcare
Intelligent, ‘human-like’ applications, 3D games, and interfaces are becoming more common in our everyday lives, and as an important area of focus within the fields of Multimedia / Human-Computer Inte...

Dr Arthur Money
Professor George Ghinea
Dr Timothy Cribbin
Dr Stasha Lauria

All year round

Self Funded

Design Guidelines for Musemedia – multiple sensorial media
Mulsemedia - multiple sensorial media - makes possible the inclusion of layered sensory stimulation and interaction through multiple sensory channels. The recent upsurge in technology and wearables pr...

Professor George Ghinea
Dr Arthur Money

All year round

Self Funded

Fully-funded studentships