Woo-cheol Lee
Deep Learning Engineer at Dnotitia
Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolWoo-cheol Lee is a deep learning and robotics engineer with a PhD in Aerospace Engineering from KAIST and a decade of experience building autonomy for robots and UAVs across research labs and industry. He has applied spatial AI, geometric SLAM, multi-robot coordination, imitation learning, and sensor-fusion techniques at organizations including KAERI, Hyundai, Samsung, and now Dnotitia, bridging cutting-edge research with physical deployment. His work spans global/local path planning, multi-robot simulation (Nvidia Isaac Sim, Gazebo/Rviz), and fault diagnosis for dynamic systems, with a practical knack for configuring heterogeneous sensor suites. Combining technical depth with a graduate minor in Entrepreneurship & Innovation, he often frames research problems through product and application lenses, accelerating real-world impact. Based in Daejeon, he brings a rare blend of aerospace rigor and hands-on robotics systems engineering to autonomy challenges.
10 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Aerospace engineering, Bachelor's degree, Aerospace engineering at Korea Aerospace UniversityDoctor of Philosophy - PhD, Aerospace engineering, Doctor of Philosophy - PhD, Aerospace engineering at Korea Advanced Institute of Science and Technology
Github Skills (16)
label7
computer-vision6
image-segmentation6
localization6
datasets6
image-processing5
coco5
segmentation5
deep-learning5
machine-learning5
object-detection4
image-labeling3
image-annotation3
python1
tensorflow1
Programming languages (2)
Github contributions (5)
dlkorea/piro_remind
Jan 2018 - Feb 2018
Contributions:28 commits, 21 pushes, 1 branch in 24 days
dlkorea/junhak
Sep 2015 - Apr 2016
Contributions:133 pushes, 1 branch in 6 months
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