Byungjae Lee Email & Phone Number

Seoul, Kr

Seoul, South Korea

- Responsible to develop NPU libraries to incorporate sophisticated deep learning features through silicon-dedicated algorithms

Seoul, South Korea

- Responsible for research anomaly detection, semantic segmentation, and object detection for manufacturing automation- Developed deep learning based anomaly detection models for automated visual inspection systems- Developed a lightweight object detection model for in-vehicle monitoring system and deployed it to the edge device

Seoul, South Korea

- Researched topics related to semantic segmentation, and object detection for medical image analysis- Handled gigapixel(200,000 × 100,000) pathology images to develop deep learning models- Developed a tissue slide analysis product using deep learning models to detect cancer stroma, cancer epithelium, lymphocytes, etc- Developed a lung cancer segmentation model in pathology images- Developed a breast cancer detection and pN-stage classification model in pathology images

Master’S Degree, Computer And Information Sciences

Intelligence Technology Laboratory Main research interest includes computer vision, deep learning, object detection and multi-object.

Bachelor’S Degree, Information And Communication Engineering

Participate in Global MBA courses at Le Harve University in France, Magdeburg University in Germany, and Xiamen University in China, 2014.