Clean Energy Process Laboratory

Kim, Chang Soo

Postdoctoral Researcher

• 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

Tak, Kyungjae

Postdoctoral Researcher

• 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

Park, Damdae

Postdoctoral Researcher

• 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

Lee, Hee Won

Postdoctoral Researcher

• 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

Han, Donggu

Ph.D. Candidate

• 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

Lee, Hyeonggeon

Ph.D. Candidate (2022.03 ~ )

• 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 Energy and Environment, KU-KIST Green School, Seoul, South Korea

• Research Area 

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

• E-mail : ​hyeonggeon.lee@kist.re.kr

Im, Jaehyung

Ph.D. Candidate

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

• Research Area 

  • C1 process design & optimization

• E-mail : ​imsy94@kist.re.kr

Hong, Jeesu

M.S. Candidate

• M.S. candidate in Department of Chemical and Biological Engineering, Korea University, Seoul, South Korea

• Research Area 

  • Electrochemical carbon dioxide reduction

  • Machine learning

• E-mail : ​jjsu7@kist.re.kr

Hakan, Karasu

Integrated Course

• 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

Son, Seokjin

Intern

• Department of  Chemical and Biological Engineering, Yonsei University, Seoul, South Korea 

• Research Area 

  • Carbon dioxide capture process modeling

• E-mail : sj6034@kist.re.kr

Choi, Yujin

Intern

• Department of Integrated Science and Engineering, Bio-Convergence Major, Yonsei University, Seoul, South Korea 

• Research Area 

  • Lignocellulosic biomass to jet-fuel production process modeling 

• E-mail : choiyujin@kist.re.kr