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Dr Tilo Burghardt

Senior Lecturer

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. Burghardt'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.

Burghardt 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.

Burghardt 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). Burghardt 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

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Postal address:
Merchant Venturers Building
Woodland Road
Clifton
Bristol
United Kingdom

Selected research outputs

  1. Published

    Animal Biometrics: quantifying and detecting phenotypic appearance

    Research output: Contribution to journalArticle

  2. Published

    Automated Visual Fin Identification of Individual Great White Sharks

    Research output: Contribution to journalArticle

  3. Accepted/In press

    Deep Learning for Exploration and Recovery of Uncharted and Dynamic Targets from UAV-like Vision

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  4. Published

    CaloriNet: From silhouettes to calorie estimation in private environments

    Research output: Contribution to conferencePaper

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