Michael Elad
Michael Elad | |
|---|---|
מיכאל אלעד | |
| Born | 10 December 1963 |
| Nationality | Israel |
| Alma mater | Technion |
| Known for | Sparse Representations, K-SVD, Image Super-Resolution, Diffusion Models |
| Scientific career | |
| Fields | Engineering, Computer Science, Mathematics, Statistics |
| Institutions | Technion Stanford University |
| Doctoral advisor | Arie Feuer |
| Doctoral students | Michal Aharon |
Michael Elad (Hebrew: מיכאל אלעד; born December 10, 1963) is an Israeli computer scientist, a professor of Computer Science at the Technion - Israel Institute of Technology. His work includes contributions in the fields of sparse representations and generative AI, and deployment of these ideas to algorithms and applications in signal processing, image processing and machine learning.