Tamir Bendory

Prof. Tamir Bendory serves as an Associate Professor in the Department of Electrical Engineering within Tel Aviv University's School of Electrical and Computer Engineering. His research bridges mathematical theory with practical signal processing applications, primarily focused on computational imaging challenges.

His core research areas include Mathematics of data science, signal processing, optimization, statistics, cryo-electron microscopy, phase retrieval, and super-resolution. This interdisciplinary work develops theoretical frameworks for reconstructing biological structures from noisy imaging data, with particular emphasis on algorithmic solutions for cryo-EM and phase retrieval problems.

Analysis of his 2017-2023 publications reveals consistent progression in mathematical cryo-EM methodologies, evolving from fundamental uniqueness theorems toward sparsity-constrained algorithms with improved sample complexity. His work increasingly integrates algebraic geometry with statistical signal processing to address computational bottlenecks in structural biology.

Prof. Bendory actively recruits research students and acknowledges funding support from major international sources including ISF, NSF, BSF, and TAD. His laboratory focuses on developing mathematical tools for next-generation imaging technologies in structural biology.