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Professor Tony Bagnall

Professor

Research interests

  • Time series classification, regression and clustering
  • Ensemble methods
  • Classification of EEG signals

More research

Accepting applications from PhD students.

Connect with Tony

Email: [email protected]

Google Scholar
ORCID
LinkedIn

Profile photo 
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Name 
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Job title 
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Research interests (for researchers only) 
Add up to 5 research interests. The first 3 will appear in your staff profile next to your name. The full list will appear on your research page. Keep these brief and focus on the keywords people may use when searching for your work. Use a different line for each one.

In Pure (opens in a new tab), select ‘Edit profile’. Under the heading 'Curriculum and research description', select 'Add profile information'. In the dropdown menu, select 'Research interests: use separate lines'.

Contact details 
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You can link to your Google Scholar, LinkedIn and Twitter accounts through Pure (opens in a new tab). Select ‘Edit profile’.  In the 'Links' section, use the 'Add link' button. 

ORCID ID 
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Accepting PhD applicants (for researchers only) 
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About Research Publications Supervision Teaching External roles and responsibilities Biography
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About

Tony recently moved to the University of Southampton from the University of East Anglia. 

Tony’s main field of research is time series machine learning (TSML). TSML involves learning predictive models from collections of ordered, possibly multivariate, real valued series. Time series problems arise in all areas of scientific enquiry. For example, human activity recognition from motion traces and diagnosis from medical signals such as ECG can all be phrased as TSML tasks. 

He has developed state of the art algorithms for time series classification, clustering and regression and applied them to a wide range of applications such as detection of forged alcohol and the classification of insect species from reconstructed audio.

You can update this in Pure (opens in a new tab). Select ‘Edit profile’. Under the heading and then ‘Curriculum and research description’, select ‘Add profile information’. In the dropdown menu, select - ‘About’.

Write about yourself in the third person. Aim for 100 to 150 words covering the main points about who you are and what you currently do. Clear, simple language is best. You can include specialist or technical terms.

You’ll be able to add details about your research, publications, career and academic history to other sections of your staff profile.

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