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Researchers

Postdocs

Wonsuk Chung
Wonsuk Chung
wschung02 at kist.re.kr
L5317
Education and career

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

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

Research theme
Damdae Park
Damdae Park
damdaepark at kist.re.kr
L5331P
Education and career

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

Electrochemical carbon capture and utilization

Research theme
Mi-Young Lee
Mi-Young Lee
mylee89 at kist.re.kr
L5342
Education and career

Postdoc. molecular catalysis, Max Plank Institute CEC 2020-2022
Postdoc. applied science research institute, KAIST 2020-2020

PhD. Civil Environ Eng, KAIST 2020
MS. Environ Eng, GIST 2014
BS. Agricultural Chem and Chem (dual), Chungnam Nat'l Univ 2012

Electrochemical valorization of CO2 and/or organic substrates

Research theme
Tapas Kumar Das
Tapas Kumar Das
tapasd at kist.re.kr
L5342
Education and career

CSIR Research Associate, CSIR-IMMT, Bhubaneswar, Inida 2020-2022
Research Associate, UM-DAE CEBS, Mumbai, India 2019-2020

PhD. Chem, Bhabha Atomic Research Centre, India 2019
MS. Chem, Univ. of Calcutta, Inida 2013

Electochemical biomass conversion into adipic acid

Research theme
Manho Han
Manho Han
L5331P
Education and career

PhD Chemical Engineering, Korea University

Electrochemical CO2 conversion

Research theme
Jaeyong Park
Jaeyong Park
L5331P
Education and career

PhD Sungkyunkwan University

Electrochemical CO2 conversion

Research theme
Youngjin Koh
Youngjin Koh
L5331P
Education and career

PhD Yonsei University

Electrochemical CO2 conversion

Research theme
Chang Soo Kim
Chang Soo Kim
changs90.kim at kist.re.kr
L5331P
Education and career

Ph.D. Chemical & Biological Engineering, 2019
Seoul National University, Seoul, Korea
Thesis: Process Fault Detection and Diagnosis via the Integrated Use of Graphical Lasso and Markov Random Fields Learning & Inference

Carbon Capture Utilization & Storage
Machine learning based process monitoring

Research theme
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