Scholar
Christoph Brune
Google Scholar ID: QkD3WhsAAAAJ
Applied Mathematics, University of Twente
Citations & Impact
Citations
1,543
H-index
24
i10-index
43
Publications
20
Co-authors
44
list available
Publications
Resume (English only)
Academic Achievements
- Teaches several courses such as 'Deep Learning - From Theory to Practice' and 'Inverse Problems in Imaging,' and has a profile on Google Scholar.
Research Experience
- Serves as a Full Professor at the Department of Applied Mathematics at the University of Twente, leading the MIA - Mathematics of Imaging & AI group. Research areas include medical imaging, data science for AI in health, neuroscience, and digital twin development for AI in industry.
Background
- Professor of Nonlinear Analysis and head of the MIA - Mathematics of Imaging & AI group. His research interests include the interplay of nonlinear analysis and deep learning in inverse problems, mathematical imaging, machine learning, dynamical systems, numerical analysis, and scientific computing. The focus is on developing, analyzing, and applying geometric deep learning methods to solve partial differential equations and inverse problems.
Miscellany
- Affiliated with the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Applied Mathematics (EEMCS-AM), Mathematics of Imaging & AI (EEMCS-AM-MIA), and TechMed Centre.
