CV

📚 Education

• Ph.D in Computer Science, Yonsei University, 2025
  • Completed via Integrated M.S./Ph.D. Program
• B.S. in Computer Science and Engineering, Incheon University, South Korea, 2019

Project experiences

• Mar 2019 - Dec 2024: (SW starlab) Research and development of the high performance in-memory distributed DBMS based on flash memory storage in an IoT environment
  • Institute of Information & communications Technology Planning & Evaluation (IITP)
  • 2021-2023: Project Manager
  • 2019-2020, 2024: Research Member

Skills

• Related to DBMS or Data Systems
  • Auto-Tuning
  • Vector Databases
  • NoSQL and RDBMS (e.g., RocksDB, Spark, Redis, MySQL, and PostgreSQL)
• Bayesian Optimization
• Text-to-SQL
• Large Language Models (LLMs)
• Machine Learning
• Deep Learning

Publications

• An Efficient and Noise-Robust Framework for High-Dimensional Tuning in Big Data Analytics. Jieun Lee*, Sangmin Seo, Chanho Yeom, Huijun Jin, Sein Kwon, Sanghyun Park. Engineering Applications of Artificial Intelligence, 2025 📖
• Towards Workload-Specific Configuration Tuning via Meta-Learning for RocksDB. Chanho Yeom, Jieun Lee, Sangmin Seo, and Sanghyun Park. (SMC 2024) 📖
• K2vTune: A workload-aware configuration tuning for RocksDB. Jieun Lee*, Sangmin Seo, Jonghwan Choi, and Sanghyun Park. Information Processing & Management, 2024 📖
• 이미지 캡션 생성을 위한 다중 관점을 가진 자가 교열 트랜스포머. 이지은*, 박진욱, 박상현. 정보과학회논문지, 2021
• Transformer 를 이용한 이미지 캡션 생성. 이지은*, 박진욱, 박찬희, 홍정수, 박상현. (KSC2019)