Scholar
Onat Dalmaz
Google Scholar ID: mZrepoMAAAAJ
Stanford University
Citations & Impact
Citations
1,544
H-index
11
i10-index
12
Publications
20
Co-authors
18
list available
Publications
Resume (English only)
Research Experience
- Currently a Ph.D. candidate in Electrical Engineering at Stanford University, focusing on the intersection of machine learning, signal processing, and computational MRI.
Education
- Ph.D. in Electrical Engineering from Stanford University, co-advised by Brian Hargreaves and Akshay Chaudhari; M.Sc. in Electrical and Electronics Engineering from Bilkent University, advised by Tolga Cukur; B.Sc. in Electrical and Electronics Engineering from Bilkent University.
Background
- Interests: Signal Processing, Machine Learning, Generative & Diffusion Models, Inverse Problems, Uncertainty Quantification, Compressed & Computational MRI. Field: Electrical Engineering. Summary: Designs probabilistic tools that turn high-dimensional inverse problems into tractable uncertainty-quantification tasks, aiming to make deep image-reconstruction models both explainable and reliable for clinical decision making.
