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Professor Alan McAlpine

Professor

Research interests

  • Aeroacoustics
  • Aircraft engine noise
  • Aircraft engine installation acoustics

Accepting applications from PhD students

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Mr Alan Welford

TDHVL Technician

Research interests

  • a key staff involved in the running of the Tony Davies High Voltage Laboratory
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Dr Alan Wong

Research Fellow

Research interests

  • the development of people-friendly, sustainable and liveable cities, that inter-link urban with transportation planning;
  • improving the de-carbonisation of road transport, with the associated improvements on air quality;
  • encouraging more sustainable modes of travel, including walking, cycling and taking public transport, with the health benefits these can also bring;
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Dr Alasdair Marshall

Associate Professor in Risk Management

Research interests

  • Corporate risk management
  • Risk intelligence
  • Risk culture
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Dr Alasdair Munro PhD

NIHR Clinical Lecturer in Paediatrics
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Professor Alberto Naveira Garabato

Professor in Physical Oceanography

Accepting applications from PhD students

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Dr Alberto Politi

Associate Professor
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Professor Alec Wilson

Professor Computational Aeroacoustics

Research interests

  • As Director of the Rolls-Royce UTC in Propulsion Systems Noise Alec develops, leads and participates in a range of European and UK collaborative research programmes in the field of aeroplane noise, with particular emphasis on aeroengine noise sources and sound propagation.
  • While at Rolls-Royce Alec played a pioneering role in the application of aerodynamic CFD codes to predict turbomachinery tone noise generated by real engineering geometries, and Alec’s own research at the University of Southampton still centres on the development and application of analytic and numerical modelling techniques to real-world engineering issues and opportunities.
  • An example of Alec’s current research is the development of a new prediction method based on eigen analysis.  Eigen analysis has been used for many years to provide a fast, computationally efficient method for predicting noise propagation in ducts, but the methods used have been limited to simplified geometries and mean flow which has limited their usefulness in practice.  The new method being developed retains the computational efficiency of previous methods, but can be applied to any smoothly varying mean flow and duct geometry.  The initial target of the research is to provide a method to predict acoustic propagation through a three-dimensional aeroengine intake at a computational cost that permits multiple calculations during the design optimisation process.

Accepting applications from PhD students

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