Saehoon Yi
Teaching Assistant at Rutgers University
Seoul, South Korea
Summary
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Senior🎓
Top SchoolSaehoon Yi is a PhD student and teaching assistant at Rutgers with 10 years of engineering experience focused on computer vision and machine learning for human action recognition across video, smartphone inertial sensors, and motion capture. He combines academic research—spanning feature extraction, spatiotemporal correlation analysis, and efficient data representation—with practical system-building, from a patented Android pose-invariant activity recognition app developed during a Bell Labs internship to GSM handset software at LG. Comfortable teaching a wide range of CS courses, he translates complex theory into hands-on curricula and reproducible experiments. His background in financial modeling and stock clustering, plus experience integrating activity cues into graph-SLAM for indoor localization, highlights a talent for applying ML to diverse, real-world signal and graph problems. Based in Seoul, he blends multi-industry product experience with rigorous research ambitions aimed at robust, sensor-agnostic action detection.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Rutgers, The State University of New Jersey-New BrunswickBachelor of Science (B.S.), Computer Science, Bachelor of Science (B.S.), Computer Science at Yonsei UniversityGithub contributions (5)
SenyMin/BOJ
Oct 2017 - Nov 2017
Contributions:54 commits, 12 pushes, 1 branch in 1 month
SaeHoonMin/SIST_Project1
Jan 2016 - Feb 2016
Contributions:102 commits, 72 pushes, 4 branches in 1 month
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