Dr. Tilo Burghardt

Professor

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Biography

Tilo Burghardt is a Professor at the University of Bristol, UK, specializing in Computer Vision and Animal Biometrics. With over 20 years of experience, Tilo has contributed significantly to the establishment of a new cross-disciplinary interface between computational biological sciences and AI. His work involves monitoring individual animals in natural habitats using automated real-time computer vision techniques developed in the early 2000s. Tilo has published widely across multiple scientific communities, focusing on applications in ecology, conservation, imageomics, taxonomics, healthcare, and smart ethical farming. He received the University of Bristol 'Award for Education' for his outstanding contributions to teaching within the Engineering Faculty. Tilo leads the teaching and learning aspects of computer science as the School Education Director. In addition, he serves as an Associate Editor for the IET Computer Vision journal and has been involved in organizing international workshops on AI and ecology. He holds several awards for his teaching excellence and has participated in various editorial activities as well as memberships in prominent academic organizations like the Higher Education Academy (HEA) and the German Academic Scholarship Foundation.

Research Interests

Experience

Professor

2016-01-01 — Present

University of Bristol • Bristol, UK

Leading research and teaching in Computer Vision and Animal Biometrics.

Awards

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'CSS Most Enthusiastic Lecturer Award for Outstanding Teaching'

2021-01-01

Requirements for University of Bristol

Doctorate Program
Requirements
GPA Requirement
Required:3.3
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:19
Reading
Required:20
Writing
Required:22
Speaking
Required:22
Total
Required:88
Prerequisites
Upper second-class MSci honours degree in physics or related discipline Or a relevant postgraduate MSc
Application Checklist
  • Online application form
  • Academic transcripts
  • Two academic references
  • Personal statement
  • Curriculum Vitae (CV)
  • Research statement/proposal
Specialization Notes

Department of Physics research themes include Astrophysics, Materials and Devices, Particle Physics, and Quantum and Soft Matter.