
Anurag Agarwal
Professor in Acoustics and Biomedical Technology
Anurag is the Head of Fluids group and the Acoustics lab in the Engineering Department at the University of Cambridge. He is a Professor at the University of Cambridge, a Fellow of Emmanuel College and the Cambridge Philosophical Society, and the CSO and Co-Founder of BioPhonics Limited. His research interests are in the field of acoustics and aerodynamics of aerospace, domestic appliances and biomedical applications. His collaborators include Rolls-Royce, General Electric, Boeing, Mitsubishi Heavy Industries, JCB, Dyson, Addenbrookes, Queen Elizabeth, King’s, John Radcliffe and Papworth Hospitals.

Kate Bassil
PhD student

Francesca De Domenico
Junior Research Fellow

Andrew McDonald
Postdoctoral researcher

Max Nussbaumer
Postdoctoral researcher

Nirmani Rathnayake
PhD student
Alumni

Amélie Lamarquette
PhD student

Alastair Gregory
Junior Research Fellow

Benjamin Bugeat
Postdoctoral Researcher

Ed Kay
PhD student
Ed worked on understanding and classifying heart sounds. He produced physical models to understand the causes of the heart murmurs associated with aortic stenosis and mitral regurgitation. He also used machine learning techniques to classify heart sounds as either normal or abnormal.

Oscar Wilsby
PhD student
Oscar developed noise prediction methods for turbomachinery operating at low Reynolds number. Noise reduction of air-moving devices such as axial compressors is becoming increasingly important for the industrial engineer, as stringent regulations are placing acoustic design on near equal terms with aerodynamic efficiency. Consequently, noise can no longer be accepted as an undesirable by-product, but rather must be accounted for at an earlier stage, ideally in tandem with aerodynamic design. Oscar worked to implement low order models that can be used to assess noise levels early in the design process. This work involved using analytical models together with computationally demanding fluid dynamics simulations to devise quick but accurate methods for noise production. Oscar was also interested in utilising machine learning algorithms in optimisation for low noise design.