Summary
Arie Nakhmani is an Associate Professor of Electrical and Computer Engineering and Associate Scientist at UAB’s Comprehensive Cancer Center with 13 years of experience at the intersection of signal analysis, computer vision, and biomedical imaging. His work spans visual tracking, registration, segmentation, and machine learning applied to challenging clinical problems such as traumatic brain injury, hepatic fibrosis, and cardiac MRI. He progressed from research engineer and postdoc roles to a faculty position, combining hands-on algorithm development with graduate teaching and supervision of dozens of student projects. Arie’s background in robust control and a PhD in computer vision underpin a systems-level approach to imaging problems, yielding automated pipelines for multimodal MRI and histology analysis. Based in Birmingham, he blends academic rigor with translational focus, routinely collaborating across engineering and clinical teams to move image-analysis methods toward real-world impact.
13 years of coding experience
8 years of employment as a software developer
Ph.D., Computer Vision, Ph.D., Computer Vision at Technion - Israel Institute of Technology
English, Russian, Hebrew