The aim of this project is to develop virtual models to simulate and assess how humans perceive sound altered by acoustic metamaterials in different applications, such as noise treatments or in musical instruments, and develop an interactive web app that demonstrates the sound of acoustic metamaterials to the general public. Read more
Vibro-acoustic digital twins have the potential to increase the sustainability of machines and vehicles by making them more silent, while keeping performance high and energy consumption low. Read more
Supervisory Team. Dr Chris Holmes, Dr Peter Glynne-Jones. This project explores the cutting-edge intersection of acoustics and photonics, enhancing acoustic emission detection using innovative optical fibre designs. Read more
Research Group:
Centre For Sustainable Environments
Porous materials such as foams and felts are often used to reduce noise levels. However, these materials are often ineffective at low frequencies. Read more
Project Overview. Marine microplastic pollution is a critical and escalating global environmental challenge. An estimated 150 million tonnes of plastic have accumulated in the world’s oceans, with over 12 million tonnes added each year. Read more
Noise is a major environmental impact of civil aviation. Reducing aircraft noise is critical to the aeronautics industry and future air transport. Read more
Tracking and detection methods for UAVs and drones typically involve human in the loop, with technology including long range radar, short range radar, cameras, infra-red camera, RF communication technology and acoustics. Read more
Are you looking for an exciting opportunity to work at the forefront of engineering research with a focus on sound and vibration? Would you like to develop… Read more
Communication using acoustic waves is the main underwater communication technology, since electro-magnetic waves quickly attenuate underwater. Read more
This project aims to leverage the advances in ultrasonic testing, including optical fibre-based distributed acoustic sensing and physics-enhanced machine learning, to increase the reliability of nuclear waste storage monitoring. . Read more
Supervisory Ream. Professor Paul White and Professor Jonathan Bull. As we move to a low-carbon economy understanding and quantifying marine sources of methane and carbon dioxide emissions becomes more important. Read more
Acoustic measurements of rooms carry a lot of useful information regarding the room geometry, objects and furnishing, presence and movements of humans, and the atmospheric conditions and stability of the room environment. Read more
The ocean plays a key role in supporting all living organisms on our planet, yet the vast majority of the ocean remains unmapped and unobserved. Read more
Machine learning is an approach that is useful when a practical optimisation problem is difficult to describe precisely. This approach has found multiple applications. Read more
This project aspires to advance distributed acoustic sensing by developing physics-enhanced signal processing algorithms particularly suited for complex multi-source environments. . Read more
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