Name : Jieun Lee

Program: Master’s degree

Research Topic:
1. Optimization using Reinforcement Learning
2. Auto Flowsheet Generation

Publications:
1. 강화학습을 이용한 천연가스 액화 공정 최적화에 관한 연구(2025)
2. Deep Reinforcement Learning‑Based Optimization Framework with Continuous Action Space for LNG Liquefaction Processes(2025)

Location: Science Building, Room 461

Name : Jimin Seo

Program: Master’s degree

Research Topic:
1. Sustainable Gas Hydrate Production Process

Publications:

Location: Science Building, Room 461

Alumni

▶ Sanghyun Lee (2020.03-2022.02)
◦Curruent workplace: Lightscale
◦Publications:
1. Optimization and Economic Analysis for Small‐Scale Movable LNG Liquefaction Process with Leakage Considerations
2. Conceptual design and economic analysis of a novel cogeneration desalination process using LNG based on clathrate hydrate
3. Conceptual Design of a Sustainable Hybrid Desalination Process Using Liquefied Natural Gas Cold Energy
4. LNG 냉열 기반 담수화 공정의 설계 및 분석

▶ Jungmin Lee (2021.03-2023.02)
◦Curruent workplace: Ph.D. program at the University of Wisconsin-Madison
◦Publications:
1. Environ-economic analysis of high-temperature steam electrolysis for decentralized hydrogen production
2. Techno-economic analysis of hydrogen production electrically coupled to a hybrid desalination process

▶ Suhyun Lee (2022.09-2024.08)
◦Curruent workplace: CJ Cheiljedang
◦Publications:
1. Life Cycle Assessment of aPHA Production
2. Life cycle assessment of a hybrid reverse osmosis hydrate-based desalination process

▶ Yeonji Choi (2023.03-2025.02)
◦Publications:
1. Four-bed vacuum pressure swing adsorption for xenon recycling from semiconductor waste gas