Younkwan Lee
Staff Engineer at Samsung Electronics
Gyeonggi, South Korea
Summary
👤
Senior🎓
Top SchoolYounkwan Lee is a Staff Engineer and PhD candidate at GIST with nine years of experience applying deep learning and computer vision to industrial and autonomous systems. He has led R&D in ADAS, instance segmentation, defect generation, and multi-camera multi-object perception, bridging low-level image enhancement with high-level object detection for robust performance in adverse conditions. At Samsung GTR he translates research into production-grade vision inspection software, while his academic work developed domain-adaptive recognition and fast inference methods for multi-camera surveillance and autonomous driving. Skilled in C/C++, Java, Python and time-series analysis, he combines hands-on engineering with rigorous research—publishing and maintaining an academic GitHub portfolio that complements his Google Scholar record.
9 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at 광주과학기술원Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at 한국항공대학교
English, Korean
Github Skills (10)
license-plate-recognition9
super-resolution8
cross-entropy4
object-detection1
pytorch1
imitation-learning1
darknet1
yolov51
autonomous-driving1
image-classification1
Programming languages (1)
Github contributions (5)
brightyoun/RainDrop-Effect_Python3
Feb 2020 - Sep 2020
Contributions:4 commits, 3 pushes, 1 branch in 7 months
brightyoun/LPSR-Recognition
Feb 2020 - Sep 2020
Practical License Plate Recognition in Unconstrained Surveillance Systems with Adversarial Super-Resolution
Contributions:18 commits, 16 pushes, 2 branches in 7 months
license-plate-recognitionsuper-resolution
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