PhD Researcher, Technical University of Munich
Machine Learning and Information Processing Lab
I am a PhD researcher at the Technical University of Munich (TUM), where I joined the Machine Learning and Information Processing Lab in June 2026 under the supervision of Prof. Reinhard Heckel. My research explores agentic AI for medical imaging: AI systems that can plan, use tools, and act autonomously across medical imaging applications.
Before TUM, I received my M.Sc. and B.Sc. in Electrical Engineering from Tel Aviv University. My M.Sc., a joint industrial program with Samsung Corephotonics advised by Prof. David Mendlovic, focused on polarization imaging for face anti-spoofing, resulting in a first-author IEEE Sensors Journal paper and a patent. In parallel, I worked as an Image Quality Engineer at Samsung Corephotonics on ISP tuning, image quality assessment, and camera-sensor evaluation.
IEEE Sensors Journal, 2025
Sparse linear polarization pixel architectures for face anti-spoofing on mobile devices, enabling effective liveness detection with minimal sensor modifications.
PatentWO 2024/161329, 2024
A sensor architecture and imaging system for polarization-based face identification in compact form factors suitable for mobile devices.
Automated tool for computing a camera's horizontal, vertical, and diagonal field of view from reference chart dimensions and measured distance, for accurate lens specification.
Analyzes video of a camera oscillating in front of a test chart to quantify Electronic Image Stabilization (EIS) angular correction and motion blur, giving an objective measure of stabilization performance.
