Stuart Cumming
Stuart is part of Cohort 1 at the University of Southampton.
Stuart is part of Cohort 1 at the University of Southampton.
Jack is part of Cohort 1 at the University of Southampton.
Deokki is part of Cohort 1 at the University of Southampton.
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 […]
Project outline Bees are essential pollinators supporting global food production and ecosystem health. While much is known about visual and chemical cues in bee behavior, the role of sound remains understudied. This project investigates how acoustic factors influence bee communication, foraging behavior, and pollination efficiency in natural and agricultural landscapes. The research will assess how […]
Project Outline Vibroacoustic modeling is crucial in engineering systems for accurately predicting, monitoring, and controlling noise and vibration, especially in aerospace and automotive applications. Virtual decoupling techniques have been successfully applied to isolate and analyze vibroacoustic systems in low-frequency domain. However, uncertainties often limit the model’s accuracy. Furthermore, vibroacoustic systems pose challenges due to the […]
Project outline This PhD project focuses on improving aircraft noise prediction for emerging technologies at early design stages. It involves developing whole-aircraft noise models, incorporating operational factors and fleet-level scenarios. The research will support Rolls-Royce’s noise prediction systems and inform certification standards and airport noise policies. Project Partners This PhD project will be hosted within the Rolls-Royce […]
Project outline This project addresses broadband interaction noise, one of the key contributors to community noise from modern propeller aircraft. By developing accurate predictive tools, the project will help Airbus design quieter and more environmentally friendly aircraft. The outcomes will promote sustainability by contributing to quieter communities around airports. Project Partners This PhD project will […]
Project outline This project aims to develop our understanding of how noise impacts cognitive functioning, for example as measured by the change in a listener’s ability to perform a task in the presence of noise. Of particular interest is how the acoustic properties of noise impact our everyday thinking and productivity by consuming sensory and […]
Project outline This project aims to develop AI models inspired by the auditory system for improved auditory scene analysis. While recent advances in machine learning have produced numerous acoustic AI models for various auditory tasks, these models typically adapt architectures from computer vision or natural language processing. This cross-domain borrowing often results in models that […]