About: Dr Tilo Burghardt is an Associate Professor of Computer Science who researches animal biometrics and computer vision methods for the life sciences. His work focuses on using artificial intelligence and robotics to support biodiversity, sustainability, and animal welfare. His interdisciplinary research links computing with ecology, conservation, taxonomics, healthcare, animal husbandry, and sustainable farming. He was one of the first researchers to monitor animals in their natural habitat via automated real-time computer vision methods in the early 2000s. Over the past two decades he made contributions to establishing animal biometrics as an emerging cross-discipline linked to imageomics and routed in pattern recognition and artificial intelligence. Tilo's enthusiasm for computer science and computer vision is reflected in his dedication to teaching the subject. He has received the University of Bristol 'Award for Education' for his educational contributions to the Engineering Faculty.

Short Biography: Tilo graduated with Distinction in Media Computing (Bakk. Medien-Inf.) at Dresden University of Technology in Germany. Subsequently, he received an MSc in Advanced Computing and a PhD in Computer Vision from the University of Bristol in the United Kingdom. After initial 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 and now Associate Professor at the School of Computer Science, University of Bristol.

Further Information: Tilo leads teaching and learning in computer science as School Education Director at the School of Computer Science, University of Bristol. He is also Associate Editor of IET Computer Vision. He is a Fellow of the Higher Education Academy (HEA) and member of the German Academic 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). Tilo's enthusiasm for computer science and computer vision is reflected in his dedication to teaching the subject. His scientific papers are listed on his Homepage and on Google Scholar.