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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 

    • Carbon Capture Utilization & Storage

    • Machine learning-based process monitoring 

  • E-mail : ​changs90.kim@kist.re.kr

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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

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Lee, Hee Won

Ph.D. Candidate

  • 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

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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

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Im, Jaehyung

M.S. 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

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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

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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