Cyber, Engineering and Digital Technologies KERI

A study involving Kingston University researchers has shown that artificial intelligence-enabled eye scans can accurately predict a person’s risk of heart disease, offering a fast, non-invasive alternative to traditional methods like blood tests and blood pressure checks. Led by Professor of Computer Vision Sarah Barman and postdoctoral researcher Dr. Roshan Welikala, the team developed an AI algorithm called QUARTZ which analyses retinal blood vessel features to assess cardiovascular risk, performing as well as the widely used Framingham Risk Scores. Using retinal images from over 95,000 participants, the research highlighted how routine eye scans at opticians could double as heart health screenings, enabling earlier intervention and broader access to preventative care

Since 2022, a multidisciplinary team from Kingston University, including chemists, computer scientists, and mathematicians, has been working with Anamad Ltd to develop cutting-edge AI and statistical techniques for analysing mass spectrometry data. Funded by the Defence and Security Accelerator and supported by the UK Defence Science and Technology Laboratory, the project is focused on identifying and attributing hazardous chemical and biological agents, even at trace levels and in complex environments like soil, water and dust. By advancing detection capabilities, this research aims to strengthen national security and improve the chances of bringing perpetrators to justice.

Gaseous detonations and the resulting blast waves from fuel combustion in tunnels pose serious threats to life and infrastructure. Accurate simulation of these events is vital for improving safety and reducing risk.

In a research project funded by AWE Nuclear Security Technologies, Kingston University is advancing the science of detonation modelling through Computational Fluid Dynamics. The team is developing sophisticated combustion and fluid dynamics models, supported by robust numerical simulation techniques, to better understand how blast waves behave in confined tunnel environments. This work is helping to shape more effective safety strategies and inform future risk mitigation efforts.

Researchers at Kingston University, in collaboration with leading UK universities, are pioneering the development of next-generation ceramic matrix composites, materials engineered to perform under extreme heat and stress.

Designed for high-temperature applications such as aerospace components, gas turbines, and advanced braking systems, these composites offer exceptional thermomechanical strength and corrosion resistance. Their performance makes them a compelling alternative to traditional nickel-based superalloys, especially in environments where durability and heat tolerance are critical. This research is paving the way for more efficient, resilient technologies across multiple industries.

Kingston University is part of TALON, a Horizon Europe-funded project focused on developing energy-efficient, flexible, and explainable edge AI systems to support a greener Industry 5.0. Running from 2022 to 2025 and involving 15 EU partners, the project integrates AR/VR technologies to create digital twins and immersive training platforms, aiming to enhance industrial automation, sustainability, and workforce development across smart manufacturing environments.

Kingston University has developed EnviroSense, a portable AI-powered air pollution sensor that delivers real-time, location-specific data. Unlike costly, stationary monitors, this mobile device, created with Technocomm Consulting Ltd, was tested over 12 weeks and reduced data inaccuracies by up to 46%. Backed by Innovate UK and the UK Shared Prosperity Fund, the upgraded EnviroSense AI is now commercialised, with plans to deploy it on public transport and service vehicles to provide hyper-local air quality insights across communities.

With the UK discarding over 200,000 tonnes of textiles annually, Kingston-based sustainable fashion brand KAPDAA joined forces with Kingston University to combat fast fashion waste through AI4Fibres, a pioneering project led by Professor Vasilis Argyriou. Backed by £3 million in Innovate UK funding, the initiative includes AI4Fibres, Portable AiFibres, and ReFibres—three cutting-edge projects using AI, robotics, and multispectral sensors to build a high-accuracy textile recycling system. Recognised at the 2023 AI Safety Summit, the technology has achieved 92% sorting accuracy in pilot tests and can process up to 30 tonnes of textile waste weekly. By combining sustainability with advanced tech, the Kingston-led collaboration is setting a new standard for circular fashion and scalable textile reuse.

Kingston University's School of Built Environment and Geography has teamed up with leading UK construction firm Galliford Try to launch a cutting-edge research initiative aimed at transforming quality and risk management in the construction industry through AI.

Backed by a £261,000 Knowledge Transfer Partnership grant from Innovate UK, the 30-month project brings together Kingston’s academic expertise—led by Dr Ted Donchev, Director of Research and Enterprise for the School of Built Environment and Geography —and Galliford Try’s Innovation team. Together, they will develop an AI-driven tool designed to enhance construction quality, streamline decision-making, and reduce waste by improving right-first-time delivery.

UbiTheraPlay is an award-winning medical gaming platform designed to support children and young people aged 5 to 18 with neurological conditions affecting motor function, such as Cerebral Palsy, Hemiplegia and Multiple Sclerosis. Developed from Innovate UK funded research, the platform combines physical therapy with engaging video games that use balance boards and muscle activity sensors to encourage movement and track progress.

Commissioned by Border Force, a law enforcement command within the UK Home Office, a cutting-edge research initiative was undertaken in 2024 by a team of computer vision and AI experts from Kingston University, led by Professor Vasilis Argyriou. In collaboration with behavioural specialists from Fortinus Global Ltd, the project aimed to advance behavioural detection capabilities at UK border checkpoints. This work forms part of the UK’s broader strategy to build a digital border - one that is automated, intelligence-led and powered by advanced technology.