Seulki Lee
Associate Professor
South Korea
Summary
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Senior🎓
Top SchoolSeulki Lee is an Associate Professor and researcher specializing in Embedded Artificial Intelligence, machine learning, mobile computing, and cyber-physical systems with eight years of postdoctoral/professional experience. She leads the Embedded Artificial Intelligence Lab (EAI LAB) at UNIST and recently transitioned to KAIST’s School of Electrical Engineering, blending academic leadership with hands-on systems research. Her background spans industry and academia, including sensor analytics and Linux kernel work at Samsung, machine learning research at Nokia Bell Labs, and applied research at UNC Chapel Hill. She is known for translating mobile and embedded sensor data into real-time, deployable AI solutions for resource-constrained devices. Beyond publications, her practical expertise in building mobile sensor-hub solutions and IoT ecosystems informs her lab’s focus on taking algorithms from prototype to fielded cyber-physical systems. Based in South Korea, she brings a rare mix of low-level systems engineering and ML research that accelerates real-world intelligent edge applications.
8 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at The University of North Carolina at Chapel HillBachelor's degree Electrical and Computer Engineering, Bachelor's degree Electrical and Computer Engineering at University of Seoul-서울시립대학교
English, KoreanGithub contributions (5)
learning1234embed/Intermittent-Learning
Apr 2018 - May 2020
Contributions:23 commits, 21 pushes, 1 branch in 2 years 1 month
learning1234embed/Neuro.ZERO
Apr 2019 - May 2020
Contributions:127 commits, 126 pushes, 1 branch in 1 year 1 month
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