Institute of Sound and Vibration Research

Our people

Learn more about our researchers and their expertise.

Dr Rie Sugimoto

Senior Research Fellow

Connect with Rie

Email: rs@isvr.soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

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Professor Rod Self

Professor

Research interests

Rod Self carries out research into how aircraft noise is produced, predicted and assessed. In particular he is interested in developing robust methods that can be used by industry to predict the noise produced by turbo-fan engine exhausts and other engine components. He also studies methods to predict noise around airports and how people who live nearby react to it.
Rod is a member of the Rolls-Royce University Technology Centre in Propulsion Systems Noise where he leads the jet noise team and leads the UTC's involvement in a number collaborative aircraft noise research projects with both UK and European partners. Current work being undertaken focusses on developing a prediction methodology for the noise produced when the exhaust jet flow mixes with the ambient air and how the noise varies depending on the design of the engine nozzle and the engine's mounting in close proximity to the wing (jet-wing interaction noise). These studies involve experimental investigations at the Institute of Sound and Vibration Research's Doak Laboratory as well as theoretical studies.
The main aim of aircraft noise research is to find ways of reducing the noise burden experienced by communities living around airports. To this end Rod has led a research team in developing methods to predict the noise from likely future novel aircraft designs -- including electric aircraft. This involves understanding how such aircraft produce noise and predicting how it is distributed over the ground around airports.

Connect with Rod

Email: rhs@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

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Mr Samuel Perry

Research Fellow

Connect with Samuel

Email: s.w.perry@soton.ac.uk

Address: B19, East Highfield Campus, University Road, SO17 1BJ

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Dr Sergi Palleja Cabre

Research Fellow

Research interests

Propeller interaction noise
Fan broadband noise
Duct acoustics

Accepting applications from PhD students

Connect with Sergi

Email: s.palleja-cabre@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

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Professor Stefan Bleeck

Head of Department

Research interests

The aim of my work is to understand how we hear sound and to use this knowledge to create bio-inspired solutions to enhance speech communication.
I have continuously worked on various aspects of hearing research and technology and have been principal investigator on various research grants (EU, EPSRCS, etc) with a value of more than £2M. I am team leader with an internationally recognised research programme to develop devices that help normal hearing and hearing-impaired people to communicate better in noise. Methodologies include brainstem physiology, neuronal simulations, deep learing, psychophysics, pupil tracking and other physiological measurements.

Accepting applications from PhD students

Connect with Stefan

Email: s.bleeck@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

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Professor Stephen Daley

Chair in Industrial Active Control

Connect with Stephen

Email: s.daley@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

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Professor Steve Bell

Professor

Research interests

evoked responses: measuring electrical responses from the hearing and balance system in response to sensory stimulation;
evaluating the benefits of hearing aid and cochlear implant technology;
principle investigator on the EPSRC funded project ‘Personalized fitting and evaluation of hearing aids with EEG responses’

Accepting applications from PhD students

Connect with Steve

Email: s.l.bell@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

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Professor Thomas Blumensath

Professor

Research interests

I develop and study advanced algorithms that can solve challenging inverse problems by efficiently exploiting complex prior information. Using techniques from mathematics, statistics and machine learning, my work concentrates primarily on problems in x-ray tomographic image reconstruction and modelling.
I work closely with state-of-the-art imaging facilities (µ-VIS, the National Research Facility in Lab-based XCT, the UK’s synchrotron facility at the Diamond Light Source, and ISIS neutron imaging beamline) to find practical solutions to a range of important scientific problems from plant science to manufacturing.
My research interests cover areas such as: Theoretical and computational methods for Signal and Image Processing (Machine Learning, Compressed Sensing, Statistical Signal and Image Processing, Quantum Computing, Inverse Problems, Optimisation, X-ray Tomographic Imaging); Advanced tomographic imaging strategies: (limited angle tomography and laminography, Spectral X-ray imaging, Stereo and extreme limited view tomography); Efficient computational methods for tomographic reconstruction, including GPU acceleration, distributed computation and advanced optimisation strategies, Constrained optimisation for ill-conditioned and underdetermined tomographic inverse problems, Applications of X-ray tomography to the inspection of manufactured components, Multimodal tomographic imaging

Accepting applications from PhD students

Connect with Thomas

Email: thomas.blumensath@soton.ac.uk

Address: B13, East Highfield Campus, University Road, SO17 1BJ

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