Dr. Bernhard Kainz

Professor

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Biography

Professor in the Department of Computing at Imperial College London, Bernhard Kainz leads the human-in-the-loop computing group and is an influential figure in Biomedical Image Analysis through the BioMedIA Lab. His research focuses on augmenting human intelligence with machine capabilities, emphasizing the collaboration between human flexibility and machine intelligence. He closely collaborates with the Imperial College Healthcare NHS Trust, King's College London, and various other institutions, aiming to advance medical imaging solutions. Kainz serves as an Associate Editor for prominent journals including IEEE Transactions on Medical Imaging and Medical Image Analysis. He has also acted as a scientific adviser for companies such as ThinkSono Ltd and Ultromics Ltd, and co-founded Fraiya Ltd. His contributions extend to educational programs as a stream lead for the EPSRC Centre for Doctoral Training in Smart Medical Imaging and the UKRI Centre for Doctoral Training in Artificial Intelligence in Healthcare. His teaching portfolio encompasses Real-time Computing, Deep Learning, Image Analysis, and Visual Information Processing.

Research Interests

Experience

Lecturer

2016-10-01 — Present

Imperial College London • London, United Kingdom

Lecturer in the Department of Computing

Requirements for Imperial College London

Master Program
Requirements
GPA Requirement
Required:3.5
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:7
TOEFL
Listening
Required:22
Reading
Required:22
Writing
Required:22
Speaking
Required:22
Total
Required:100
Duolingo
Overall Score
Required:125
Overall
Required:125
Prerequisites
Materials Science Mechanical Engineering Civil Engineering Chemical Engineering Physics Chemistry
Application Checklist
  • Personal statement
  • CV/resume
  • Official university transcripts
  • Two academic or professional references
  • Application fee (£90)
Specialization Notes

Specialisms available in Materials for the Energy Transition or Theory and Simulation of Materials.