Adrian Barbu is a Professor in the Statistics Department at Florida State University with over nine years of postdoctoral academic experience and a deep research portfolio in learning-based computer vision and medical imaging. He has led work on object detection and segmentation, feature selection, and machine learning methods applied to challenging medical problems such as heart, vessel, and catheter segmentation. His background spans strong theoretical training—a PhD in Computer Vision from UCLA and a PhD in Mathematics from Ohio State—paired with industry experience at Siemens Corporate Research delivering clinical imaging solutions. Known for bridging statistical rigor with practical algorithm design, he combines academic leadership with hands-on development of segmentation and detection systems. Based in Tallahassee, he continues to advance interpretable, data-driven approaches that translate research prototypes into clinically relevant tools.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree, Mathematics, Bachelor's degree, Mathematics at University of Bucharest
High School, High School at Gheorghe Sincai
University of California, Los Angeles
PhD, Mathematics, PhD, Mathematics at The Ohio State University
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Adrian Barbu - Professor at Florida State University