I’m an Electrical & Computer Engineering PhD student at UT Austin working with Prof. Jon Tamir in the Computational Sensing & Imaging Lab.

My research interests are at the intersection of computer vision and signal processing working on inverse problems in computational imaging. Generally, I’m curious about AI/ML & signal processing, optimization & control, and intelligent systems & robotics.

Check out my notes to see what I’m thinking about and kū to see what I’m seeing!

I’m always open to new opportunities and collaborations within my interests. You can contact me at zstoebner@austin.utexas.edu.

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“Reducing malware analysis overhead with coverings”, Michael Sandborn, Zach Stoebner, Westley Weimer, Stephanie Forrest, Ryan Dougherty, Jules White, Kevin Leach. IEEE‑TDSC (2023). DOI repo

“Comprehensive shape analysis of the cortex in Huntington’s disease”, Zachary A. Stoebner, Kilian Hett, Ilwoo Lyu, Hans Johnson, Jane S. Paulsen, Jeffrey Long, Ipek Oguz, Human Brain Mapping (2023). DOI repo note

“Segmentation of kidney stones in endoscopic video feeds”, Zachary A. Stoebner, Daiwei Lu, Seok Hee Hong, Nicholas L. Kavoussi, and Ipek Oguz, Proc. SPIE 12032, Medical Imaging 2022: Image Processing (2022). DOI arXiv note