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Jessica Smith

Image of Matt Torjussen. Close-up portrait of a person wearing round glasses and a navy jumper over a light collared shirt, standing indoors and facing slightly toward the camera. The background is softly blurred with warm circular lights and glass panels, suggesting a relaxed indoor setting.

Matt Torjussen

Matt is part of Cohort 1 at the University of Salford.

Image of Matt Gray. Close-up portrait of a person wearing dark-framed glasses and a light blue denim button-up shirt, positioned slightly angled toward the camera. The image is taken indoors, with a softly blurred background featuring warm circular lights, glass panels, and a dark overhead sign, suggesting a relaxed social or communal environment.

Matthew Gray

Matthew is part of Cohort 1 at the University of Salford.

Image of Katie Salter. Close-up portrait of a person wearing glasses and a green top, with long dreadlocks draped over both shoulders. The person stands indoors in front of a softly blurred background with warm lighting and circular light reflections, suggesting an informal interior setting.

Katie Salter

Katie is part of Cohort 1 at the University of Salford.

Image of Jack Hallybone. Close-up portrait of a person wearing a brown knitted sweater, facing slightly to one side. The indoor background is softly blurred, featuring warm, circular lights and glass panels, suggesting a relaxed social or communal environment.

Jack Hallybone

Jack is part of Cohort 1 at the University of Southampton.

Image of Deokki Min. Close-up portrait of a person wearing round glasses and a casual jacket layered over a light top, photographed in an indoor setting. The background is softly blurred with warm, circular lights and glass panels, suggesting an informal social or communal space.

Deokki Min

Deokki is part of Cohort 1 at the University of Southampton.

Interior of an acoustic anechoic chamber lined with specialized wedge-shaped sound-absorbing foam panels

Estimation of the Sound Power Radiated from Complex Engineering Systems with Multiple Enclosed Vibroacoustic Sources

Project outline This PhD project focuses on developing new methods to predict and analyse the sound power radiated by complex engineering systems without needing full physical prototypes. Since real structures are made of many interacting components that each generate noise and vibration, the research aims to: To achieve this, the project will advance Transfer Path Analysis (TPA) techniques […]

A laboratory workspace with a long cylindrical test apparatus mounted on supports on a bench, alongside a computer, measurement equipment, and a vertical testing rig, set within a clean, well-lit engineering lab.

Physics Based Machine Learning Algorithm to Assess the Onset of Amplitude Modulation in Wind Turbine Noise 

Project outline This project will tackle wind turbine Amplitude Modulation (AM), one of the critical barriers to onshore renewable energy acceptance. Our physics-informed machine learning model will provide the first reliable AM prediction capability, addressing a significant industry need. This enables proactive mitigation, reducing noise complaints and fostering public trust. The data driven part of […]