PhD project in Decentralized Trust Zone for Remote Health Monitoring

This project aims to develop a decentralized trust zone using AI for predictive health analytics, focusing on enhancing remote health monitoring while ensuring data privacy and security. By leveraging federated learning and blockchain technology, the project seeks to create a robust, scalable, and privacy-preserving solution for continuous health monitoring and early detection of potential health issues.

The student will establish a decentralized network of AI models deployed on edge devices to process health data locally. Implement federated learning techniques to enable AI models to learn from data across multiple devices without sharing raw data. Develop secure communication protocols for model updates and aggregation. Integrate basic health monitoring sensors and devices to collect initial data for model training. Enhance the AI models with predictive analytics capabilities and integrate blockchain for secure data management. Develop algorithms for early detection of health issues based on decentralized data. Implement blockchain technology to manage data access permissions and ensure data immutability. This project will result in a decentralized AI system capable of providing real-time, personalized health insights while maintaining the highest standards of data privacy and security. It aims to revolutionize remote health monitoring by making it more proactive, personalized, and resilient.

Funding Information

To be eligible for consideration for a Home DfE or EPSRC Studentship (covering tuition fees and maintenance stipend of approx. £19,237 per annum), a candidate must satisfy all the eligibility criteria based on nationality, residency and academic qualifications.

To be classed as a Home student, candidates must meet the following criteria and the associated residency requirements:

• Be a UK National,
or • Have settled status,
or • Have pre-settled status,
or • Have indefinite leave to remain or enter the UK.

Candidates from ROI may also qualify for Home student funding.

Previous PhD study MAY make you ineligible to be considered for funding.

Please note that other terms and conditions also apply.

Please note that any available PhD studentships will be allocated on a competitive basis across a number of projects currently being advertised by the School.

A small number of international awards will be available for allocation across the School. An international award is not guaranteed to be available for this project, and competition across the School for these awards will be highly competitive.

Academic Requirements:

The minimum academic requirement for admission is normally an Upper Second Class Honours degree from a UK or ROI Higher Education provider in a relevant discipline, or an equivalent qualification acceptable to the University.

Entrance requirements

Graduate
The minimum academic requirement for admission to a research degree programme is normally an Upper Second Class Honours degree from a UK or ROI HE provider, or an equivalent qualification acceptable to the University. Further information can be obtained by contacting the School.

International Students

For information on international qualification equivalents, please check the specific information for your country.

English Language Requirements

Evidence of an IELTS* score of 6.0, with not less than 5.5 in any component, or equivalent qualification acceptable to the University is required (*taken within the last 2 years).

International students wishing to apply to Queen’s University Belfast (and for whom English is not their first language), must be able to demonstrate their proficiency in English in order to benefit fully from their course of study or research. Non-EEA nationals must also satisfy UK Visas and Immigration (UKVI) immigration requirements for English language for visa purposes.

For more information on English Language requirements for EEA and non-EEA nationals see: www.qub.ac.uk/EnglishLanguageReqs.