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We have 916 self-funded PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
self-funded PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
We have 916 self-funded PhD Projects, Programmes & Scholarships PhD Projects, Programmes & Scholarships
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Developing the next generation of pedestrian behaviour models for revival of high streets and sustainable transport [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Modelling the behaviour of pedestrians in city centres is of practical importance not only for sustainable transport (reducing reliance on motor vehicles addresses issues of carbon emissions, congestion and health) but also can help inform planning for town centres in a post-COVID world. 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
Investigating Older Adults’ Experiences with Multimorbidity and How Digital Health Strategies Can Shape, Enable or Hinder Better Trajectories of Care [Self-Funded Students Only]
Research Group:
Cybersecurity, Privacy and HCC Research Section
Project Highlights. Understand the socio-cultural, environmental and infrastructural challenges that influence multimorbidity and older adults’ lived experiences negotiating and navigating care. Read more
Enhancing Women’s Access and Experiences of Care during Pregnancy through Digital Health Technologies [Self-Funded Students Only]
Research Group:
Cybersecurity, Privacy and HCC Research Section
This project is in collaboration with the University of Leicester, the University of Cape Town, and the broader EPSRC/GCRF funded UK-South Africa CoMaCH Network on Co-designing community-based digital health interventions for maternal and child health. Read more
Advancing Non-reversibility in Bayesian Networks [Self-Funded Students Only]
Research Group:
Visual Computing
About the Project. Bayesian Sampling has been very well studied in the literature for investigating various complex time series and regression analysis problems up to date. Read more
Assistive Robotics Experiences: Towards More Inclusive Human-robot Collaboration via High-level User Specifications and Multimodal Interactions [Self-Funded Students Only]
Research Group:
Cybersecurity, Privacy and HCC Research Section
Human-robot collaboration (HRC) requires efficient mechanisms to communicate and exchange information from/to human partners to/from robots, e.g., to allow a human partner to command a robot, as well as to allow a robot to express its interpretations and intentions. Read more
AI-based Perception-aware Visual Contents Processing for Sustainable and Carbon-neutral Digital Economy [Self-Funded Students Only]
Research Group:
Visual Computing
Keywords. digital economy, sustainability, carbon neutrality, perception, visual contents, AI, deep learning, computer vision. Aims and Methods. Read more
Explainable Deep Learning Method for Video Forgery Detection [Self-Funded Students Only]
Research Group:
Visual Computing
With recent technological advancement, a huge number of videos are created every day, and they are playing more and more important role in many application areas, such as communication, entertainment, social media, education, medicine, and surveillance. Read more
Design and definition of Natural Language Processing models in the legal domain [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Aims. The objective of this project is to apply Natural Language Processing (NLP) methods to devise and implement data-oriented applications in the legal domain. Read more
Geographic Question Answering on Knowledge Graphs [Self-Funded Students Only]
Research Group:
Data and Knowledge Engineering
Knowledge Graphs (KG) on the Semantic Web are a representation of linked data that are collected from structured and unstructured sources and used by question-answering… Read more
Incremental machine learning with emerging new classes and application to edge computing [Self-Funded Students only]
Research Group:
Complex Systems
Standard classification methods can only classify pre-defined classes, i.e., they classify a new instance into one (or multiple) of the known classes. Read more
Interpretable Reinforcement Learning [Self-Funded Students Only]
Research Group:
Visual Computing
Reinforcement learning (RL) enables agents to learn optimal policies by interacting with the environment. The agent collects experience from trial-and-error and optimises its action rules from the environment feedback. Read more
Keeping users and citizen scientists in the loop in transport modelling [Self-Funded Students Only]
Research Group:
Complex Systems
Modelling transport of all forms (car, public transport, walking and cycling) remains highly relevant to Net Zero goals, inclusivity and economic development. Read more
Learning concept evolution in data streams [Self-Funded Students Only]
Research Group:
Complex Systems
In applications with concept evolution, new concepts emerge in data stream and existing/known concepts disappear over time, e.g., new types of attack in a computer network and new topics of interest in social medial data stream. 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