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Dr Tom Hazlehurst

Dr Tom Hazlehurst

Profile

I obtained my MMath, BSc in Mathematics from the University of Leeds in 2011, and proceeded to complete my PhD in Applied Mathematics in 2015 (Acoustic solutions to the particle mixing problem in aqueous dispersions) under the supervision of Oliver Harlen, Megan Povey and Mel Holmes.

In 2015 I moved into the School of Process and Chemical Engineering at the University of Leeds as a Research Fellow working on an EU Horizon 2020 project, ProPAT http://pro-pat.eu/ which developed novel online particle characterisation techniques for industrial process monitoring. Working with Franz Muller and Tim Hunter.

Later, in 2019, I was a research fellow in an interdisciplinary project based between the Schools of Mechanical Engineering and Computing on the Impact Acceleration and Design Configuration Spaces projects https://configuration-spaces.leeds.ac.uk/ specialising on using Deep Learning techniques for design engineering applications, in particular the use of Graph Neural Networks for part similarity matching. Working with Alison McKay and David Hogg.

Currently, from 2022, I am a research fellow back in the School of Chemical and Process Engineering working on the Shape4PPD project, working with David Hogg and Kevin Roberts. Using machine learning techniques for the application of crystallisation characterisation. 

 

Responsibilities

  • Research Fellow
<h4>Research projects</h4> <p>Any research projects I'm currently working on will be listed below. Our list of all <a href="https://eps.leeds.ac.uk/dir/research-projects">research projects</a> allows you to view and search the full list of projects in the faculty.</p>

Qualifications

  • PhD in Applied Mathematics
  • MMath, BSc in Mathematics