Clean Energy Process Laboratory

Ph.D. in Chemical & Biological Engineering , Seoul National University, Seoul, South Korea (Spring 2019)

• Thesis : Process Fault Detection and Diagnosis via the Integrated Use of Graphical Lasso and Markov Random Fields Learning & Inference​

Research Area ​

• Machine learning-based process monitoring 

• Carbon Capture Utilization & Storage

E-mail : ​changs90.kim@kist.re.kr

Ph.D. in Chemical & Biomolecular Engineering, Yonsei University, Seoul, South Korea (August 2016)

• Thesis:   

Research Area 

• CO2 Conversion by E-Chemical Technology

E-mail : ​kjtak@kist.re.kr

Ph.D. in Chemical & Biological Engineering, Seoul National University, Seoul, Republic of Korea (Aug 2021)

• Thesis :  Probabilistic Machine Learning Approach to Process Systems Engineering through Parametric Distribution Approximation 

Research Area 

• Electrochemical carbon capture and utilization

E-mail : ​damdaepark@kist.re.kr

Division of Energy & Environment Technology, KIST school, Korea University of Science and Technology, Seoul, Korea 

Research Area 

• Carbon dioxide capture process modeling and simulation

E-mail : ​blackmisty@kist.re.kr

Ph.D. in Chemical & Biological Engineering, KAIST, Daejeon, Republic of Korea (Spring 2023)

• Thesis : Identification of sustainable carbon capture and utilization pathways using superstructure approach 

Research Area 

• Carbon capture and utilization (CCU), Optimization, Sustainability assessment

E-mail : ​wschung02@kist.re.kr

Current Position : Professional at LG Chem.

Ph.D. candidate in Department of Chemical and Biological Engineering, Korea University, Seoul, South Korea

Research Area 

• Electrochemical carbon capture and utilization

E-mail : ​222025@kist.re.kr

Ph.D. candidate in Department of Chemical and Biological Engineering, Korea University, Seoul, South Korea

Research Area 

• Multi-scale modeling and simulation

E-mail : ​dghan@kist.re.kr

M.S. in Department of Chemical Engineering, Inha University, Incheon, South Korea

• Thesis :  Life cycle-based optimal design of utility system in offshore plants and multi-scale modeling and simulation of dendrite growth in Li-ion anode based batteries used as ESS in offshore plants

Ph.D. candidate in Department of Chemical and Biological Engineering, Korea University, Seoul, South Korea

Research Area 

• Multi-scale modeling of electrolyzer for carbon dioxide reduction.

E-mail : ​hyeonggeon.lee@kist.re.kr

M.S. in Department of Chemical Engineering, Inha University, Incheon, South Korea

• Thesis : Economically viable co-production of methanol and sulfuric acid via oxidation of methane with oleum​

Ph.D. candidate in Department of Chemical and Biological Engineering, Korea University, Seoul, South Korea​

Research Area 

• Carbon capture process design & optimization

E-mail : ​jhim@kist.re.kr

University of Science & Technology-UST , Seoul, South Korea 

Research Area 

• Electrochemical reduction of carbon dioxide to carbon monoxide implementing deep learning

E-mail : 621504@kist.re.kr

M.S. candidate in Division of Energy & Environment Technology, KIST school, Korea University of Science and Technology, Seoul, Korea

Research Area 

• ​

E-mail : ​margareth@kist.re.kr