- Main Research Area: Natural Language Processing (NLP), Topic Modeling, Text Mining, Data Analysis, Multi-Disciplinary Research
- Job Objectives: Data Analyst, Data Enginner, Data Scientist, ML/DL Enginner, Backend Developer
- Bachelor of Software Engineering in Jeonbuk National University (2019-2025)
- Master's Course of Software Enginnering in Jeonbuk National University (2025-2027)
- Applied AI Laboratory in Jeonbuk National University (2022-)
- Leader of SFC (University Club for Chiristian) in Jeonbuk National University (2023)
- Management Team Member of JBIG (Jeonbuk National University Club for Data Science/Engineering)(2024)
- Analyzing Public Opinion on News Agency's YouTube Videos and Comments through LDA Topic Modeling, ICT플랫폼학회 하계학술발표대회논문집, Jul.2023. Vol.10, No.1, pp.50-53
- Clustering Meta Information of K-Pop Girl Groups Using Term Frequency-inverse Document Frequency Vectorization, Journal of Platform Technology, Jun.2023. Vol.11, No.3, pp.12-23
- Analysis of issues related to nursing law: Examination of news articles using topic modeling, PLoS ONE, Aug.2024.
- The More Effective Rumor Detection adopted Bayesian Optimization-Hyperband, Journal of Platform Technology, Aug.2024. Vol.12, No.4, pp.55-66
- Recommendation of Suitable Songs and Key for User Vocal Range based on Kullback-Leibler Divergence, Proceedings of KIIT Conference, May.2024. pp.456-459
- 한국정보기술학회 2024 하계종합학술대회 및 대학생논문경진대회 동상
- 전북대학교 SW중심대학사업단 2024년 인공지능 온라인 경진대회 장려상
- '음역대 기반의 노래 추천 방법 및 장치' 특허권 및 'Kullback-Leibler Divergence(쿨백-라이블러 발산) 기반 사용자 음역대 맞춤 노래 및 적정 Key(키) 추천' 저작권