Exploring the Potential of Near-Range Radar in Non-Invasive Neuroimaging Kingston University in United Kingdom

Project Overview: This PhD opportunity at Kingston University explores the innovative use of near-range microwave radar for non-invasive neuroimaging. Traditional neuroimaging methods such as MRI, EEG, and MEG, while powerful, are often limited by high costs, immobility, and the need for specialized environments. Radar-based sensing technologies present a promising alternative, offering the potential for portable, low-cost, and real-time monitoring of brain activity and cerebral conditions.

Research Objectives: The project aims to design and optimize a near-field radar system tailored for high-resolution neuroimaging. Key objectives include characterizing electromagnetic interactions between microwave signals and cranial tissues, developing advanced signal processing and machine learning algorithms to interpret radar reflections, and validating system performance through phantom studies, simulations, and preliminary in-vivo experiments.

Background: Recent advances in radar hardware miniaturization, wideband antennas, and high-speed data acquisition have enabled new biomedical applications, including heartbeat and respiration monitoring. However, the use of radar for continuous, contactless monitoring of brain activity is still underexplored. This research addresses challenges such as achieving sufficient spatial resolution and signal-to-noise ratio when penetrating the multilayered structure of the human head.

Methodology: The project will progress through several phases: system development (including VNA-based or impulse radar platforms and custom antennas), electromagnetic modelling using anatomical data and full-wave simulations, integration of advanced signal processing and AI techniques, and experimental validation with tissue-equivalent phantoms and safe, low-power in-vivo studies. Data will be cross-validated with established neuroimaging modalities like EEG or fNIRS.

Anticipated Outcomes: Expected deliverables include a proof-of-concept radar system for non-invasive cerebral monitoring, validated electromagnetic models, a robust signal processing pipeline, and a foundation for future wearable or clinical radar-based neuro-monitoring devices.

Impact: Success in this project could revolutionize brain monitoring by enabling portable, accessible tools for point-of-care diagnostics, mental health monitoring, sleep studies, and brain-computer interfaces. The research will contribute to the broader field of biomedical radar, extending its application into neurotechnology that is safe, non-contact, and continuously deployable.

Funding and Eligibility: The position is part of the Graduate School studentships competition for October 2026 entry, typically covering tuition and stipend. Applicants should have a strong background in engineering, physics, biomedical engineering, computer science, or related fields, with skills or interest in signal processing, machine learning, electromagnetics, or neuroimaging. International candidates may need to demonstrate English proficiency.

Application Process: Interested candidates should review the Graduate School Studentships information and submit their application via Kingston University's online portal. Further details and guidance are available on the Faculty of Engineering, Computing and the Environment research webpage.