Jaeha Kung
Associate Professor
Seoul, South Korea
Summary
👤
Senior🎓
Top SchoolJaeha Kung is an associate professor and electrical engineering researcher based in Seoul with 11 years of experience developing energy-efficient hardware accelerators and neural-network-aware systems. He holds a Ph.D. from Georgia Tech and has led research on post-silicon temperature prediction, error analysis in neural networks, and high-performance ML accelerators across institutions including DGIST, KAIST, POSTECH, and SRI International. His work bridges academic rigor and practical implementation, from design-time thermal analysis to post-fabrication variability-aware prediction and accelerator prototyping. Known for combining circuit-level insight with machine-learning workloads, he often focuses on how algorithmic properties impact hardware efficiency—an angle that informs both his teaching and lab-led innovation.
11 years of coding experience
12 years of employment as a software developer
Ph.D., Electrical and Computer Engineering, Ph.D., Electrical and Computer Engineering at Georgia Institute of TechnologyBachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at 고려대학교 / Korea UniversityMaster's degree, Electrical Engineering, Master's degree, Electrical Engineering at Korea Advanced Institute of Science and Technology
Korean, EnglishGithub contributions (5)
jhkung/Neurocube
Jun 2015 - Aug 2015
Contributions:7 commits, 6 pushes, 1 branch in 2 months
jhkung/APPRX_TEST
Jul 2015 - Aug 2015
Contributions:2 PRs, 3 pushes, 1 branch in 25 days
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.