Jisoo Kim

Hi, I’m Jisoo Kim — a Data Science & Big Data Engineering junior at Sookmyung Women’s University and an undergraduate research intern at SNSec Lab (SMWU). Previously, I’ve been active in SISS (Sookmyung Information Security Study) as a member for 3 years and also served as a Web Hacking Academic Director.

I’m especially interested in anomaly detection, AI-driven security, and intrusion detection systems (IDS). I work on real-time anomaly detection for automotive Ethernet traffic using unsupervised deep learning, with a focus on building practical, security-relevant detection pipelines. I also enjoy connecting academic ideas to hands-on work: reproducing Security/AI papers, designing web hacking CTF challenges, and leading various ML/DL projects.

My goal is to grow into a researcher and engineer who helps build secure, trustworthy, and impactful AI systems. If you’d like to collaborate on security research, anomaly detection, or applied ML/DL projects, feel free to reach out!