
Researchers
Postdocs

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
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
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
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
L5331P
Education and career
PhD Chemical Engineering, Korea University
Electrochemical CO2 conversion
Research theme

Jaeyong Park
L5331P
Education and career
PhD Sungkyunkwan University
Electrochemical CO2 conversion
Research theme

Youngjin Koh
L5331P
Education and career
PhD Yonsei University
Electrochemical CO2 conversion
Research theme

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