Hyeji Kim
Principal Researcher at ETRI
Daejeon, South Korea
Summary
👤
Senior🎓
Top SchoolHyeji Kim is a Principal Researcher at ETRI with nine years of experience specializing in AI processors, neural network compression, and low-power embedded SoC design. She blends deep academic training (Ph.D. in Electrical Engineering from KAIST) with hands-on VLSI and FPGA implementation experience, having led projects from tensor-decomposition optimization for CNNs to ASIC stereo depth extraction. Her work spans system-level AI SoC platforms, efficient neural-network compression algorithms, and hardware-accelerated surveillance and communication modules, reflecting a rare cross-domain fluency in algorithms and silicon. Notably, she has delivered energy-efficient turbo decoders and CRC-based early termination units, demonstrating attention to practical low-energy constraints in real deployments. Based in Daejeon, South Korea, she drives research that moves models from algorithmic compression to production-grade hardware. Colleagues describe her as a pragmatic researcher who closes the loop between novel compression methods and their digital VLSI realizations.
9 years of coding experience
6 years of employment as a software developer
Master's degree, Electronic Engineering, Master's degree, Electronic Engineering at Chungnam National UniversityPh.D, Electrical Engineering, Ph.D, Electrical Engineering at Korea Advanced Institute of Science and Technology
english, korean
Github Skills (2)
caffe1
pruning1
Github contributions (5)
Hyeji-Kim/ENC-models
Apr 2019 - Jun 2019
Contributions:6 commits, 3 pushes in 2 months
Hyeji-Kim/impl-pruning-caffemodel
Jul 2016 - Jul 2016
Contributions:5 pushes, 1 branch in 1 day
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