Computer Science and Informatics (PhD)

There are several research topics available for this degree. See below examples of research areas including an outline of the topics, the supervisor, funding information and eligibility criteria:

• 3D Imaging and Crime Scene Reconstruction
• A Multimodal Approach to the in-vivo Measurement of Bones and Joints Kinematics in Real-time
• Algorithms for rapid hypothesis suggestion during digital investigations
• Analysis and Process of RGB-D Data for Emerging Applications
• Applying Deep Learning for Intrusion Detection System in the Internet of Things (IoT) Network
• Augmented Reality-Guided Medical Procedure Planning and Visualisation
• Automated planning with non-linear numeric domains
• Automatic analysis of medical notes
• Blockchain trust mechanisms for the Industrial Internet of Things
• Changepoint Problems and Applications in Time Series, Streaming Data, and All Related Signal Processing.
• Cognitive Architecture-Controlled Humanoid Robot (CACHR) project
• Cross-Realm Analytics for Business Intelligence [2]
• Dead-Zone or Nearly-Dead-Zone Finder in Large IoT Networks
• Developing a framework for establishing the baseline for expectations of security within medical devices
• Development of a Readout System for Fibre Based Beam Loss Monitors
• Education in a complex world: fostering learning in formal and informal environments through complexity science, information technologies, and game-based interaction design
• Enabling Smart Healthcare at Home in Fog Computing
• Explainable predictive analytics using an ontologically based feature space
• Fostering sustainable development through pro-social immersive technologies.
• Future Cities: Design and development of an intelligent web-based visual analytics platform
• Governing distributed learning algorithms within Internet of Things (IoT) networks
• Graph-based Security Evaluation & Design in the Internet of Things
• In-Transit Analytics of data streams from Internet of Things (loT) devices
• Influence Analysis of Changes in Graph-Based IoT Data
• Innovative Big Data Analytics in Space Science: Insights of Big Data - Big Data Fuelling Big Data
• Innovative Learning Techniques for AI Planning.
• Innovative Learning Techniques for Improving the Performance of Al Planning Engines.
• Investigating the capability of E-O crystal to measure low amplitude DC fields
• Knowledge extraction and embedding artificial intelligence in engineering processes.
• Learning Analytics: Data Diagnostics
• Learning Analytics: Human Behaviour
• Learning analytics and personalised learning: a game-based framework
• Machine Learning of Domain Models for Long Term Autonomy and Explainable Al.
• Machine Learning using human-derived knowledge for machine tool maintenance
• Machine Learning-Augmented Vision System for Simulating Humanoid Robot Cognition
• Mathematical Foundations of Optical Nano and Micro Spectroscopy
• Mobile Apps-based Crime Scene Data Fusion and Augmentation
• Modelling Human Performance with Autonomous Systems using the ACT Cognitive Architecture.
• Modelling social media analytics
• Multiagent Systems for Resilient Internet of Things (IoT) Architectures
• Opportunistic Resource Allocation for Smart Things in Fog Computing
• Order invariant classification and outlier mitigation through sample modification, model selection and by using novel approximation estimators
• Profiling human behaviour through location-specific data sources
• Robust Spatial and Geometric Features Extraction from Biometric Images
• Secure Multiparty Authentication for the Internet of Things
• Secure software by design from an adversary perspective
• Security and Privacy Preservation in the Internet of Things
• Self-detecting cyber-attack capabilities of Connected and Autonomous Vehicles
• Semantic and Knowledge Technologies for the Internet of Things.
• Smart Parking for Future Smart Cities Using Fog Computing Paradigms
• Software Sustainability Metrics Framework for Architectural-Level Reasoning
• Visualisation of heterogeneous security data to identify potential irregularities