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Personal profile

Research interests

Applied Computer Vision, Animal Biometrics

Short Bio

Dr Tilo Burghardt's research focuses on applied computer vision and animal biometrics. His interests include the robust visual detection and identification in unconstrained environments. He contributed to establishing animal biometrics as an emerging cross-discipline routed in pattern recognition and computer vision. Tilo's enthusiasm for computer science and vision is reflected in his dedication to teaching the subject. In 2018 he received the University of Bristol 'Award for Education' for his educational contributions to the Engineering Faculty.

Tilo graduated with Distinction in Media Computing (Bakk. Medien-Inf.) at Dresden University of Technology (Germany). Subsequently, he received an MSc in Advanced Computing and PhD in Computer Vision from the University of Bristol (UK). After initial post-doctoral research at the School of Physics, he was awarded a Fellowship of the Research Councils UK and then became employed as a Lecturer and then Senior Lecturer at the Visual Information Laboratory and the Intelligent Systems Laboratory at the University of Bristol.

Tilo is Associate Editor of IET Computer Vision. He is a member of the British Machine Vision Association (BMVA) and the German Academic Foundation (Studienstiftung des Deutschen Volkes). He is a Fellow of the Higher Education Academy (HEA). Tilo has been a local organizer for the 23rd European Conference of Machine Learning (ECML-PKDD). He has been a chair of the 24th British Machine Vision Conference.

Structured keywords and research groupings

  • Engineering Education Research Group
  • Digital Health

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Research Output

Animal Biometrics: quantifying and detecting phenotypic appearance

Kuehl, H. & Burghardt, T., 2013, In : Trends in Ecology and Evolution. 28, 7, p. 432-441

Research output: Contribution to journalArticle (Academic Journal)

  • 75 Citations (Scopus)

    Automated Visual Fin Identification of Individual Great White Sharks

    Hughes, B. J. & Burghardt, T., May 2017, In : International Journal of Computer Vision. 122, 3, p. 542–557 16 p.

    Research output: Contribution to journalArticle (Academic Journal)

    Open Access
  • 12 Citations (Scopus)
    301 Downloads (Pure)

    Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference

    Andrew, W., Greatwood, C. & Burghardt, T., 27 Jan 2020, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Institute of Electrical and Electronics Engineers (IEEE), 7 p. (IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)).

    Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

    Open Access
  • 182 Downloads (Pure)



    Hannuna, S. L. (Creator), Paiement, A. (Creator), Camplani, M. (Creator), Burghardt, T. (Creator), Aldamen, D. (Creator), Mirmehdi, M. (Creator), Tao, L. (Creator) & Holley, A. (Data Manager), University of Bristol, 19 Nov 2015



    Andrew, W. (Creator), Burghardt, T. (Creator), Hannuna, S. L. (Contributor) & Campbell, N. W. (Contributor), University of Bristol, 10 Oct 2017



    University of Bristol 'Award for Education'

    Burghardt, Tilo (Recipient), 2018

    Prize: Prizes, Medals, Awards and Grants


    • 3 Editorial activity
    • 2 Membership of external research organisation

    IET Computer VIsion (Journal)

    Tilo Burghardt (Editor)

    2019 → …

    Activity: Publication peer-review and editorial work typesEditorial activity

    International Journal of Computer Vision (IJCV) (Journal)

    Tilo Burghardt (Guest editor)


    Activity: Publication peer-review and editorial work typesEditorial activity

    British Machine Vision Association (BMVA) (External organisation)

    Tilo Burghardt (Member)

    2009 → …

    Activity: Membership typesMembership of external research organisation

    Supervised Work

    Visual Biometric Processes for Collective Identification of Individual Friesian Cattle

    Author: Andrew, W., 7 May 2019

    Supervisor: Burghardt, T. (Supervisor), Greatwood, C. (Supervisor) & Richards, A. (Supervisor)

    Student thesis: Doctoral ThesisDoctor of Philosophy (PhD)