Seunghyun Yoo
Seunghyun Yoo
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About
About
I am Seunghyun Yoo, a master’s student at the WINE Lab, Korea University. My research focuses on developing robust, autonomous AI systems capable of high-level reasoning in complex or data-constrained environments.
My recent research mainly focused on establishing a strong foundation in AI for Science, specifically in cross-modal alignment for molecular identification, where I addressed the generalization bottleneck in mass spectrometry. I am currently expanding this expertise to Agentic AI and Embodied Intelligence, investigating the interaction of Large Language Models and Vision-Language Models to build autonomous UAV systems that seamlessly bridge digital reasoning with real-world physical actions.
Research Interests
Research Interests
Multi-modal Deep Learning
Representation Learning for Unstructured Data
Agentic AI & Physical AI Systems
Contact
Contact
seunghyunyoo AT korea DOT ac DOT kr
Education
Education
Korea University, Seoul, Republic of Korea
MS, Electrical Engineering, Sept 2025 - Present
Adviser: Professor Hwangnam Kim
B.S, Warsaw University of Technology (Sept, 2024)
Publications
Publications
International Journals
International Journals
"Lightweight QRS-attention network for efficient real-time detection of ECG anomalies"
Namkyung Yoon, Sanghong Kim, Seunghyun Yoo, and Hwangnam Kim
Discover Computing, Springer Nature, accepted, 2026
International Conferences
International Conferences
Domestic Conferences
Domestic Conferences
Technical Skills
Technical Skills
Languages: C, Java, Python, Go, JavaScript, SQL
Libraries: React, Spring boot, TensorFlow
Tools: Visual Studio, IntelliJ
Operating Systems: MS Windows, Linux (Ubuntu), MacOS
Languages
Languages
Korean(Native)
English(Fluent)
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