Summary
Woo Nam is an Assistant Professor at Kyungpook National University with nine years of experience bridging deep learning research and aerial image analysis. His work focuses on explainable AI—interpreting complex nonlinear decisions of deep neural networks—and on high-resolution aerial image retrieval, matching, detection, and change detection. He completed advanced studies and a postdoc at Korea University, with research visits to Tel Aviv University (collaborating with Prof. Lior Wolf) and TU Berlin, reflecting a strong international research footprint. Known for turning theoretical interpretability insights into practical vision solutions, he combines rigorous academic training with applied expertise in geospatial imaging and model transparency. Based in Seoul, he brings a research-driven yet application-minded perspective to problems where understanding model decisions is as important as their accuracy.
9 years of coding experience
Doctor's Degree, Doctor's Degree at 고려대학교
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Hanyang University