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The University of Southampton
EngineeringPostgraduate study
Email:
J.T.Bamford@soton.ac.uk

Mr Tom  Bamford BA Hons; MSci

Postgraduate research student with the Rolls-Royce UTC for Computational Engineering

Mr Tom  Bamford's photo

Mr Tom Bamford is a postgraduate research student with the Computational Engineering and Design group based within the Faculty of Engineering and Physical Sciences at the University of Southampton.

Tom started his PhD with the University of Southampton in September 2020, before which he spent two years in industry working as a developer and machine learning engineer. He is based within the Rolls-Royce University Technology Centre for Computational Engineering.

His primary research interests are within the field of aerodynamic shape design, in particular investigating how artificial intelligence and deep learning techniques can be exploited in this area. The project is funded by EPSRC and Rolls-Royce.

Tom obtained his first degree in Natural Sciences (Astrophysics) from the University of Cambridge in 2016, in which he was awarded First Class Honours

BA Hons MSci, Natural Sciences, University of Cambridge 2016

Research interests

 Research interests:

·         Aerodynamic design optimisation

·         Artificial Intelligence

·         Surrogate Modelling

·         Deep Learning

·         Computer Vision

·         Aero engines

 

PhD Title: Using artificial intelligence to study variations in gas turbine performance

Supervisors: Prof Andy Keane and Dr David Toal

Funding: EPSRC and Rolls-Royce

Research group

Computational Engineering and Design

Affiliate research group

Rolls-Royce University Technology Centre at Southampton

Mr Tom Bamford
Engineering, University of Southampton, Highfield, Southampton. SO17 1BJ United Kingdom

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