Ozgur Yilmaz

About

Ozgur Yilmaz is a Professor at the University of British Columbia, Canada. His research primarily focuses on deep learning applications in image classification, efficient algorithms for compressed sensing, and statistical methods in parameter optimization. Recent publications include works on off-the-grid sampling strategies and sensitivity analysis in Lasso regression, contributing to advancements in data science and mathematical optimization.