University of Sheffield

Tilde Resare

Tilde is part of Cohort 1 at the University of Sheffield.

Thomas Stolarski

Thomas is part of Cohort 1 at the University of Sheffield.

Shumin Que

Shumin is part of Cohort 1 at the University of Sheffield.

Laboratory testing equipment is arranged inside an acoustics research facility. Two large materials testing machines stand on either side of a desk with a computer workstation, monitor and telephone. A banner for the UK Acoustics Network (UKAN) is displayed on the left, featuring the text “The Focal Point of Acoustics.” Additional laboratory equipment, cables and a blue trolley are visible around the room, highlighting a controlled environment for acoustics and materials research.

Accessible Tinnitus Notch Noise Therapy via Machine Learning, Acoustic Metamaterials and Additive Manufacturing

Project outline Over seven million people in the UK live with tinnitus — the persistent perception of sound when no external source is present. Tinnitus can cause distress, anxiety, and loss of concentration, and current therapies are often costly, complex, or inaccessible. This project aims to change that by combining machine learning, clinical expertise, and […]

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 […]

Cohort 1 of the EPSRC Sustainable Sound Futures CDT gathered for a group photo indoors around a large anatomical ear model used for sound and hearing research.

Using Real-time Acoustic Resynthesis in Virtual Reality to Assess Conversational Behaviour and User Preference for Hearing Aid Users

Project outline Evaluating the effectiveness of hearing aid algorithms can be a challenging task as evaluating different environments and conversational scenarios involves a large amount of preparation and effort on the behalf of both researchers and their participants. Using virtual reality, we intend to produce a synthetic environment that allows for a balance between reproducibility […]

Sound Analysis for Predicting Category 1 Ambulance Calls

Project outline This project is a strategic collaboration with the Yorkshire Ambulance Service (YAS) aimed at enhancing the speed and accuracy of emergency call prioritization. The core objective is to develop and validate advanced deep learning models capable of analyzing the acoustic properties of emergency calls in real-time. A significant challenge in emergency dispatch is the rapid […]

Acoustic Performance, Analysis and Design of Steel Composites

Project outline To improve the acoustic performance in indoor environments it is vital to have a good understanding of all possible transmission paths between points in a building. This research focuses on steel stud-based double leafed walls which are building components that act as partitions inside buildings forming separate units or “rooms”. I am specifically […]