Scholar
Felix Karl Michael Wagner
Google Scholar ID: VC3rTrAAAAAJ
PhD student in Artificial Intelligence, University of Oxford
Citations & Impact
Citations
70
H-index
5
i10-index
2
Publications
11
Co-authors
8
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 4 papers accepted in 2025 at top-tier venues (CVPR 2025, WACV 2025, AAAI 2025); Honourable Mention as Outstanding Reviewer at MICCAI 2024; Novel federated learning frameworks released as open-source on GitHub to advance reproducible research.
Research Experience
- Currently a final-year PhD student at the Department of Engineering Science, University of Oxford. Before starting his PhD, he worked as a freelance software engineer and had various internships, providing a solid foundation in building and deploying real systems.
Education
- PhD in Computer Vision & Medical AI, University of Oxford, supervised by Professor Konstantinos Kamnitsas; Bachelor's and Master's degrees in Computer Science, TU Wien, with a focus on the integration of symbolic and subsymbolic AI in knowledge graphs.
Background
- Research Interests: Computer Vision, Medical AI, Privacy-Preserving AI. Focus Areas: Advancing AI through federated learning, parameter-efficient fine-tuning, domain adaptation, and privacy-preserving medical imaging systems.
