Postgraduate Research Projects
The following list includes a number of possible PhD projects suggested by members of academic staff. If you are interested in any of these projects, please indicate on your online PhD application form which project and what supervisor you are interested in. Alternatively, if you want to suggest your own project, you need to include with your application a short description of your project (research proposal), possibly including names of suitable supervisors.
Please note that these projects are not directly funded. There are some PhD studentships available for Home/EU students, and these can be awarded to students taking these projects. There is a small amount of funding available for exceptional international students who are partially funded from external sources, and this will be allocated on a competitive basis.
If you wish to be considered for any funding we have available, please indicate this on your application form.
More information on our studentships for Home and EU students is available here.
Current Projects
- A hybrid-systems approach to uncover complex networks behaviour
- Analysis and control of hybrid dynamical systems: an insight into swiched control systems
- Analytical Throughput Calculation for Data link Protocols.
- Animation by Machine Learning with Motion Capture Data.
- Applications of Category Theory in Computational System Semantics.
- Applying Adaptive Decoding to Convolutional Codes.
- Auditory Scene Categorization.
- Automatic Emotion Detection, Analysis and Recognition.
- Automatic Spoken Language Recognition.
- Autonomic Computing in Large-Scale Distributed Systems
- Autonomic Workload Management.
- BAMM - Bayesian approximation by multiobjective methods.
- Biometric Authentication and Applications.
- Bit-error concealment for VoIP and Voice over WLAN.
- Categorical proof theory.
- Characterisation of nanoscale magnetic elements for data storage applications.
- Component-based Software Development.
- Computational Methods for Analysis of Next Generation Sequencing Technologies.
- Computing beyond a million processors - bio-inspired massively parallel architectures.
- Constraint-Driven Design of Sensor Network Query Processing Deployments
- Controlled natural language.
- Convergent algorithms for learning probabilistic behaviour in multi-agent systems.
- Data Driven Mechanistic Models for Systems Biology.
- Dataspace management
- Developing Task Patterns for Business Process Modelling.
- Development and Analysis of Evolvable Computational Systems.
- Development of scalable computational approaches for identifying the sites of perturbations in metabolic pathways.
- Domain Engineering with Reusable Domain Models.
- Enhancing the Resilience of Sensor Network Query Processing
- Evolving artificial neural networks: is recombination [or crossover] an efficient operator?
- Evolving multilayer belief net (MBN) artificial neural networks: can EC evolve a MBN from the input feature space?
- Exploring the relationship between sparse inference and optimization using Statistical Mechanics.
- Fabrication and measurement of nano-storage devices.
- Fabrication and patterning of thin-film materials for ultra-high-density non-volatile memory.
- Formal Techniques and Retrenchment.
- Fundamental and applied investigations into Provenance outcomes from Scientific Data Analysis Pipelines
- Higher-Order Temporal Generalization.
- Hybrid dynamical systems analysis of on-line learning in a non-stationary environment.
- Indoor Environment Mapping using Ultra Wide Band (UWB) Radio.
- Inferring Complex Hidden Causes of Disease through Probabilistic Models.
- Information Component Analysis.
- Integrated and Contrastive Text and Data Mining.
- Knowledge Representation for NLP
- Learning from Series of Problem Instances.
- Learning regression tasks utilising second and third order statistics.
- Logics with counting.
- Machine Learning and Cognitive Modelling Applied to Interactive Computer Games
- Mapping Applications and Services on Computing Clouds and Service-Oriented Systems
- Mathematical models for concurrent systems.
- Mobile phone applications.
- MODE - Multiobjective Optimization for Design of Experiments.
- Model-driven interaction with ontologies.
- Modular ontology development and maintenance.
- Network Layer Routing Protocols and Transport Protocols.
- Perceptual Computing and Modelling.
- Power Saving Architectures.
- Probability collectives for partially separable problems.
- Protecting Consumers' Privacy in Digital Right Management.
- Protocol Implementation Using Model Based Design.
- Quality and Cost-Based Query Processing in XML Databases
- Quality-Driven, Cost-Effective Query Processing in Transient Dataspaces.
- Robust formal semantics for natural language.
- Security and QoS in Mobile Ad Hoc Networks.
- Semi-Supervised Ensemble Learning.
- Sensor data management
- Sensor Networks.
- Simulation of novel data storage systems.
- Statistical Learning for Temporal Information Processing.
- Symmetry feature extraction for artificial neural networks: providing position, size, rotation invariance.
- Symmetry feature extraction for multilayer belief net (MBN) artificial neural networks: can we providing position, size, and rotation invariance for the MBN?
- Synthesis Methods for Highly Variant Technologies.
- Text Analytics and Blog/Forum Sentiment Analysis.
- Throughput Simulation for Data link layer Medium Access Control (MAC) Protocols.
- Throughput Simulation for Network Layer Routing Protocols.
- Tools for independent living.
- Type-logical grammars and logic-based syntax.
- Understanding spoken Arabic.
- Virtual Choir.
- Voice over IP and over Wireless/Wired Local Area Networks (VoWLAN).
