Kyong Jin
Associate Professor
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolKyong Jin is an associate professor in electrical engineering at Korea University with a decade of experience bridging deep learning and signal/image processing for accelerated acquisition and display. His research focuses on inverse problems in imaging—sampling aliasing, quantization, and reconstruction—with applications spanning medical imaging and camera systems. He combines academic rigor from PhD and postdoctoral training at KAIST and EPFL with industry experience as a Staff Engineer at Samsung Research’s Global AI Center, translating theory into camera and imaging products. At DGIST and now Korea University he leads work that tightens the loop between sampling theory and practical deep-learning reconstruction methods. Notably, his trajectory reflects a rare mix of compressed-sensing roots and modern neural approaches, enabling principled acceleration in both acquisition and display pipelines. Based in Seoul, he maintains an active research profile that informs both teaching and collaborative industry projects.
10 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Dept. of Bio & Brain Engineering, Doctor of Philosophy (Ph.D.) Dept. of Bio & Brain Engineering at Korea Advanced Institute of Science and Technology
English, Korean
Github Skills (16)
chainer8
cudnn8
python7
cuda7
caffe6
deep-learning6
machine-learning6
gpu6
cupy6
neural-network4
numpy4
mxnet3
iterative2
homography1
pytorch1
Programming languages (1)
Github contributions (5)
panakino/FBPConvNet
Jun 2017 - Apr 2018
Contributions:34 commits, 31 pushes, 1 branch in 9 months
panakino/3dbpconv
Apr 2018 - Apr 2018
Contributions:26 commits, 31 pushes, 2 branches in 7 days
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