Suwan Kim
Assistant Professor at Kyung Hee University
Gyeonggi, South Korea
Summary
👤
Senior🎓
Top SchoolSuwan Kim is an assistant professor at Kyung Hee University and a researcher-practitioner with nine years of experience at the intersection of machine learning and chip design. He earned dual B.S. degrees in electrical & computer engineering and naval architecture, and a Ph.D. in electrical and computer engineering from Seoul National University, and transitioned from a Staff Engineer role at Samsung Advanced Institute of Technology to academia in 2025. His work focuses on machine learning for computer-aided design, design-technology co-optimization, and methodologies for advanced nodes, including applying reinforcement learning to industrial macro placement. Suwan combines rigorous academic research—documented on Google Scholar—with hands-on industrial experience, enabling practical innovations that bridge theory and production design flows. An uncommon detail: his background in naval architecture gives him a multidisciplinary perspective on complex system optimization and physical design constraints.
9 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Electrical and Computer Engineering, Doctor of Philosophy - PhD, Electrical and Computer Engineering at Seoul National UniversityBachelor's degree, Electrical and Computer Engineering, Bachelor's degree, Electrical and Computer Engineering at 서울대학교 (Seoul National University)
Github Skills (45)
distro10
samsung10
upstream10
linux10
manjaro10
zen9
linux-kernel9
samsung-galaxy9
galaxy9
concurrently9
kernel9
snapdragon8
libc8
architecture7
cpu7
Programming languages (1)
Github contributions (5)
woowahan-techcamp/3team_OSGD.fling
Jul 2017 - Aug 2017
Contributions:15 PRs, 124 pushes, 26 branches in 1 month
react
KUoslab/Stella_new
Jul 2018 - May 2019
Stella integrated scheduler is a scheduling architecture for providing required performance to virtual machines running concurrently on a virtualized server. The integrated scheduler includes different types of resource scheduler in a physical server, CPU, block and Network I/O, to support diverse workload running on virtual machines with different characteristics (CPU-intensive or I/O-intensive).
Contributions:45 commits, 34 pushes, 5 branches in 10 months
diverseschedulercharacteristicsresource-schedulerworkload
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.