Scholar
Reinhard Heckel
Google Scholar ID: ZWV0I7cAAAAJ
Technical University of Munich and Rice University
Citations & Impact
Citations
5,928
H-index
37
i10-index
69
Publications
20
Co-authors
14
list available
Publications
Resume (English only)
Academic Achievements
- Authored 'Deep Learning for Computational Imaging', to be published by Oxford University Press (draft available as PDF)
- Maintains an up-to-date publication list on Google Scholar
- Research widely covered by major media and science programs including BBC, Netflix, Frankfurter Allgemeine, Galileo, and 'Gut zu Wissen'
- Delivered a talk at DLD on 'Seeing the World with AI'
- Interviewed Sam Altman at TUM
- Led the team that stored Netflix’s first original series in DNA
- Pioneering work in DNA-based data storage
Background
- Professor of Machine Learning (Tenured Associate Professor) at the Department of Computer Engineering, Technical University of Munich (TUM)
- Adjunct faculty at Rice University
- Research focuses on machine learning, artificial intelligence, and information processing
- Develops algorithms and theoretical foundations for deep learning, especially in medical imaging
- Works on mathematical and empirical underpinnings of machine learning
- Explores the use of DNA as a digital information technology
