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Email: [email protected]
Affiliation: Research Professor, BK21 Advanced AI Talent Education and Research Group for Industrial Innovation in Handong Global University
Address : 1558, Handong-ro, Heunghae-eup, Buk-gu, Pohang, 37554, Republic of Korea
<aside> <img src="/icons/bookmark_gray.svg" alt="/icons/bookmark_gray.svg" width="40px" /> I am a researcher specializing in brain-computer interfaces, with a strong background in neuroengineering and computer science. Since 2017, I have been continuously conducting research in this field, actively contributing to its advancement. I have participated in various research projects in collaboration with hospitals, industry partners, and national institutions, gaining valuable interdisciplinary experience. My research focuses on developing practical, human-centered BCI technologies that can be applied to real-world settings.
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<aside> <img src="/icons/graduate_gray.svg" alt="/icons/graduate_gray.svg" width="40px" /> Doctor of Philosophy in Computer Science and Electrical Engineering
<aside> <img src="/icons/graduate_gray.svg" alt="/icons/graduate_gray.svg" width="40px" /> Master of Science in Information and Communication Engineering
<aside> <img src="/icons/graduate_gray.svg" alt="/icons/graduate_gray.svg" width="40px" /> Bachelor of Science in Life Sciences and Computer Science
Laboratory
- Research Professor, Handong Global University, 2025.04- Now
- Lecture: Academic Writing Skills for Research Publication
- Research Topic: Motor imagery-BCI, Deep learning, Human error
- Ph.D. Researcher, Handong Global University, BCI LAB, 2021.03- 2025.02
- Research Topic: Motor imagery, ERP, Chronic pain, Calibration-free system
- M.S. Researcher, Handong Global University, BCI LAB, 2019.03-2021.02
- Research Topic: Cross-frequency coupling, Motor imagery
- B.S. Researcher, Handong Global University, BCI LAB, 2017.09- 2019.02
- Research Topic: App and Web System for Healthcare
In addition to the above research keywords, numerous projects have been conducted in collaboration with hospitals, corporations, and research institutions.
Project's Principal Investigator
- User-Centered Motor Imagery Brain-Computer Interface based on Task-to-task Transfer Learning (2023.09 - 2024.08)
- Grant support: Research supported by the Basic Science Research Program, National Research Foundation of Korea (NRF) funded by the Ministry of Education
- Research budget: 20,000,000 WON (about USD 14,000)
- Development of Artificial Intelligence Based on Transfer Learning Cross-Dataset for Calibration-Free BCI (2022.04 - 2022.10)
- Grant support: Research support by Korea Foundation for Women In Science, Engineering and Technology, WISET
- Research budget: 8,000,000 WON (about USD 5,600)
- Neurofeedback Digital Contents based on Machine Learning for Enhancing Cognitive Ability of the Public (2020.05 - 2020.10)
- Grant support: Research supported by the Real Challenge Program for National R&D, funded by the Korea Institute of R&D Human Resource Development (KIRD)
- Research budget: 18,000,000 WON (about USD 12,600)
Visiting Scholarship
- Optimal brain signal processing in kinesthetic protocols Deep learning model development and biomarker exploration (2021.10 - 2022.04)
- Visiting scholar at North Carolina State University
- Grant support: High-potential individuals global training program with collaborative research (GIST, HGU, SNU, and NCSU)
Undergraduate Research Assistant
- Developing open-source brain-computer interface applications and researching multi-user interaction (2020.06 - 2020.11)
- Undergraduate Research Program (URP) at Korea Foundation for the Advancement of Science and Creativity
- Grant support: This work was supported by the Korea Foundation for the Advancement of Science & Creativity (KOFAC), and funded by the Korean Government (MOE).