About: Tilo Burghardt is a Professor of Computer Vision and Animal Biometrics at the University of Bristol, UK. He is a pioneering cross-disciplinary researcher and award-winning educator. His career contributed to establishing Animal Biometrics as a new field at the interface between the computational and biological sciences. He was one of the first researchers to monitor individual animals in their natural habitat via automated real-time computer vision in the early 2000s. His work over the last 20 years received multiple international award nominations (incl CVPR2025 and CVPR2026) and has been published in over 100 scientific papers. His computational AI solutions contributed to ecology, conservation, imageomics, taxonomics, healthcare, animal husbandry, and smart ethical farming. He is also passionate about higher education where he acts as School Education Director in Computer Science at the University of Bristol. Tilo Burghardt has a main Professional Homepage, an Institutional Webpage, an Institutional Reseach Profile, a LinkedIn Page, and a Google Scholar Profile listing his scientific papers in full. 

Short Biography: Tilo graduated with Distinction in Media Computing (Bakk. Medien-Inf.) at Dresden University of Technology in Germany. Following a Hölderlin Scholarship award he received an MSc in Advanced Computing and later a PhD in Computer Vision from the University of Bristol, UK. After post-doctoral research at the School of Physics, he was awarded a Fellowship of the Research Councils UK and tenure as a Lecturer, Senior Lecturer, Associate Professor, and then Full Professor.

Awards: Tilo Burghardt's research has received multiple international accolades including Best Paper Award Nominations at CVPR2025 and CVPR2026, as well as an entry in the Top 25 Life and Biological Sciences Articles of 2022 (Nature Communications). He was also a member of the SPHERE Project which won the organisational WTN World Technology Award in the Category Health. As an educator, Tilo Burghardt received multiple prizes from both educational institutions and Bristol student societies including the 'CSS Lecturer of the Year' award, the 'Best Lecturer in Computer Science Award', and the 'CSS Most Enthusiastic Lecturer Award for Outstanding Teaching' award. He was both a 'Best of Bristol Lecturer' and recipient of the University of Bristol 'Award for Education'.

Further Information: Tilo Burghardt is Associate Editor of IET Computer Vision and main organising academic of the International Workshop Series on Camera Traps, AI and Ecology (CamTrapAI). He is a Fellow of the Higher Education Academy (HEA), a Member of ELLIS, and has alumni membership of the German Academic Scholarship Foundation (Studienstiftung des Deutschen Volkes). He has contributed to the British Machine Vision Association (BMVA) as chair of the 24th British Machine Vision Conference (BMVC).