Using Physics-Informed Machine Learning to Model Vibrating Structures
Physics-informed Machine Inference for Vibroacoustics.
Projects
Explore the diversity and interdisciplinarity of our PhD projects across themes and cohorts.
Themes
- Aeroacoustics
- Architectural acoustics
- Bioacoustics
- Materials
- Perception
- Speech and audio technology
- Vibroacoustics, Structureborne (vehicles, buildings)
Physics-informed Machine Learning for Acoustic Simulations
Physics-informed Machine Learning for Acoustic Simulations.
Optimising Air Source Heat Pump Deployment to Reduce Noise Impacts
Optimising Air Source Heat Pump Planning and Placement to Minimise Community Noise Impact.
Investigating Neighbour Noise to Understand Human Perception and Response
Investigating Neighbour Noise through a Mixed-methods Approach to Understand Human Perception and Response.
Evaluation of Soundscapes Using Sound Source Separation Methods
Evaluation of Complex Acoustic Environments Using Sound Source Separation Methods.
Mitigating the Impact of Noise of Terrestrial Mammals
Developing Methods for Addressing the Impacts of Anthropogenic Noise on Non-Human Animals During Development Planning.
Concert Halls for Classical Music: the use of Coupled Volumes
Coupled Volume Design Approaches to Auditoria for Classical Music: Perceptual Evaluation and Computational Modelling
Using Hearing Technologies to Reduce the Impact of Noise on Cognitive Performance
Investigating the Impact of Noise on Cognitive Function, and How Hearing Technology can be used to Recover Performance.
Bio-inspired Models of Human Hearing
Bio-inspired Auditory Models
Auralisation of Acoustic Metamaterials
Auralisation of Acoustic Metamaterials