Jonggeol Na Associate Professor
Department of Chemical Engineering & Materials Science / Graduate Program in System Health and Engineering
Professor Jonggeol Na received his B.S. (2013, Cum Laude, Minor in Economics) and Ph.D. (2018) in Chemical and Biological Engineering from Seoul National University. During his doctoral studies, he was a visiting researcher in the Department of Chemical Engineering at MIT. After earning his degree, he worked as a postdoctoral researcher at the Clean Energy Research Center at the Korea Institute of Science and Technology (KIST) and the Department of Chemical Engineering at Carnegie Mellon University. He joined the Department of Chemical Engineering and Materials Science at Ewha Womans University as an Assistant Professor in 2020. In 2025, he was promoted to Associate Professor and selected as an ‘Ewha Young Fellow,’ an honor awarded to outstanding next-generation researchers. His primary research focuses on ‘Autonomous Process Design,’ which integrates process systems engineering (PSE), artificial intelligence (AI), multi-scale simulation, and mathematical optimization. Going beyond traditional new materials development, his group utilizes Self-Driving Laboratories (SDL) combining AI and robotics to design innovative chemical processes aimed at achieving 'new process carbon neutrality' and establishing circular economy systems. His research has been published in top-tier international journals such as Nature Communications, Nature Chemical Engineering, Chemical Society Reviews, ACS Catalysis, ACS Energy Letters, and Chemical Science. Notably, his 2019 Nature Communications paper on the techno-economic analysis of electrochemical CO₂ conversion has become a standard reference in the field. Currently, Prof. Na serves as a key member and the leader of the Self-Driving Laboratory (SDL) division at the Institute for Multiscale Matter and Systems (IMMS), launched under the Ministry of Science and ICT’s National Research Laboratory 2.0 (NRL 2.0) initiative. In this role, he is at the forefront of building next-generation research infrastructure that drastically accelerates the discovery of new materials and optimal processes through AI and robotic automation. He also heads the research division of the BK21 System Health Convergence Major. Starting in 2026, he is spending a one-year sabbatical in the Department of Chemical Engineering at MIT, further expanding his global research network. In recognition of his research excellence, he has received the Miwon Young Scientist Award (2024), the Ewha Outstanding Research Award (2024), and the AIChE CACE Best Paper Award (2022), following his earlier achievement as a recipient of the Presidential Science Scholarship (2009–2013). Prof. Na's laboratory is actively recruiting passionate graduate students from diverse backgrounds—including chemical engineering, artificial intelligence, robotics, and materials science—who want to help pioneer the "era where AI autonomously designs experiments and processes."
- jgna@ewha.ac.kr
- Asan Engineering Building #527
- 0232774202
- Office hours
- 목요일 14:00-18:00
- Research Interests
- Process Systems Engineering, Process Design, Self-Driving Laboratory, Artificial Intelligence, Optimization
Research Record
- Assessing Grid Penalized Reinforcement Learning for Renewable Energy Management of Power-to-X Integrated With Intermediate Storage IEEE Transactions on Sustainable Energy, 2026, v.17 no.1, 407-420
- Insight into safety and economic trade-offs for high-pressure PEMEC operation using Bayesian optimization Applied Energy, 2026, v.408, 127345
- Simultaneous optimization of reactor design and operating conditions using geometry-aware physics-informed neural network Chemical Engineering Journal, 2026, v.527, 171870
- A Shortcut Modeling Platform for Optimizing Catalyst Distribution of the CO2-to-Methanol Process INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2025, v.2025 no.1, 2329142
- Accelerated Discovery of Solvation Structure Engineering for Stable Aqueous Rechargeable Zinc Batteries via Physics-Guided Bayesian Active Learning Small, 2025, v.21 no.23, 2411632
- Discovering the Origin of Catalyst Performance and Degradation of Electrochemical CO2 Reduction through Interpretable Machine Learning ACS CATALYSIS, 2025, v.15 no.3, 2158-2170
- Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes IEEE Transactions on Industrial Informatics, 2025, v.21 no.1, 4-11
- Maximizing biomass utilization: An integrated strategy for coproducing multiple chemicals Journal of Energy Chemistry, 2025, v.100, 180-191
- Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea Sustainable Cities and Society, 2025, v.118, 106027
- Physics-informed neural network with moving boundary constraints for modeling hydraulic fracturing Computers and Chemical Engineering, 2025, v.203, 109308
- Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective Computers and Chemical Engineering, 2025, v.203, 109266
- Toward sustainable ammonia: A techno-economic and environmental assessment of emerging electrochemical ammonia synthesis pathways CHEMICAL ENGINEERING JOURNAL, 2025, v.524, 169131
- Utilization of carbon dioxide and nitrate to produce sodium bicarbonate through a nitrate hydrogenation method JOURNAL OF CO2 UTILIZATION, 2025, v.94, 103060
- Computational Fluid Dynamics Simulation for Controllable Residence Time Distribution in a Slug Flow Crystallizer Crystal Growth and Design, 2024, v.24 no.9, 3876-3887
- Economic and environmental insights into the hybrid ethylene oxide production processes Chemical Engineering Journal, 2024, v.494, 152879
- Materials discovery with extreme properties via reinforcement learning-guided combinatorial chemistry Chemical Science, 2024, v.15 no.21, 7908-7925
- Multi-period hydrogen supply chain planning for advancing hydrogen transition roadmaps Renewable and Sustainable Energy Reviews, 2024, v.200, 114536
- Multiphysics generalization in a polymerization reactor using physics-informed neural networks Chemical Engineering Science, 2024, v.298, 120385
- Production rescheduling via explorative reinforcement learning while considering nervousness Computers and Chemical Engineering, 2024, v.186, 108700
- Pulsed electrolysis for CO2 reduction: Techno-economic perspectives iScience, 2024, v.27 no.8, 110383
- The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning Chemical Engineering Journal, 2024, v.497, 154464
- Ultrasound-based separation of ethanol-water mixtures is economically advantageous and sustainable Cell Reports Physical Science, 2024, v.5 no.2, 101785
- A chemically inspired convolutional neural network using electronic structure representation JOURNAL OF MATERIALS CHEMISTRY A, 2023, v.11 no.19, 0
- Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2023, v.2023, 8868540
- Explainable Artificial Intelligence (XAI) Surrogate Models for Chemical Process Design and Analysis; [화학 공정 설계 및 분석을 위한 설명 가능한 인공지능 대안 모델] Korean Chemical Engineering Research, 2023, v.61 no.4, 542-549
- Green hydrogen and sustainable development – A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy Journal of Cleaner Production, 2023, v.395, 136438
- Microkinetic study of syngas conversion to dimethyl ether over a bifunctional catalyst: CZA/FER Korean Journal of Chemical Engineering, 2023, v.40 no.11, 2632-2645
- Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning Engineering Applications of Artificial Intelligence, 2023, v.117, 105463
- Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning Energy, 2023, v.284, 128623
- A stochastic agent-based cooperative scheduling model of a multi-vector microgrid including electricity, hydrogen, and gas sectors JOURNAL OF POWER SOURCES, 2022, v.546, 231989
- Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, v.18 no.2, 827-834
- CFD modeling for the prediction of molecular weight distribution in the LDPE autoclave reactor: Effects of non-ideal mixing Chemical Engineering Journal, 2022, v.427, 131829
- Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty Chemical Engineering Journal, 2022, v.428, 130971
- Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents Reliability Engineering and System Safety, 2022, v.218, 108102
- Microenvironments of Cu catalysts in zero-gap membrane electrode assembly for efficient CO2 electrolysis to C2+ products JOURNAL OF MATERIALS CHEMISTRY A, 2022, v.10 no.19, 10363-10372
- Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly ACS Energy Letters, 2022, v.7 no.3, 939-945
- Physics-informed deep learning for data-driven solutions of computational fluid dynamics Korean Journal of Chemical Engineering, 2022, v.39 no.3, 515-528
- Bayesian Optimization of Semicontinuous Carbonation Process Operation Recipe INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.27, 9871-9884
- Bayesian optimization of industrial-scale toluene diisocyanate liquid-phase jet reactor with 3-D computational fluid dynamics model Journal of Industrial and Engineering Chemistry, 2021, v.98, 327-339
- Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.26, 9521-9531
- Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 reduction Chemical Engineering Journal, 2021, v.424, 130265
- Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models Computers and Chemical Engineering, 2021, v.151, 107322
- Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening ACS CATALYSIS, 2021, v.11 no.5, 2483-2491
- Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer ACS ENERGY LETTERS, 2021, v.6 no.10, 3488-3495
- Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, v.61 no.12, 5804-5814
- Learning the properties of a water-lean amine solvent from carbon capture pilot experiments Applied Energy, 2021 , 116213
- Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages JOURNAL OF ENERGY STORAGE, 2021, v.41, 103010
- Towards the large-scale electrochemical reduction of carbon dioxide Catalysts, 2021 , 1-30
- Catalyst-electrolyte interface chemistry for electrochemical CO(2)reduction CHEMICAL SOCIETY REVIEWS, 2020, v.49 no.18, 6632-6665
- Data-driven pilot optimization for electrochemical CO mass production JOURNAL OF MATERIALS CHEMISTRY A, 2020, v.8 no.33, 16943-16950
- In silicodiscovery of active, stable, CO-tolerant and cost-effective electrocatalysts for hydrogen evolution and oxidation PHYSICAL CHEMISTRY CHEMICAL PHYSICS, 2020, v.22 no.35, 19454-19458
- Mass Transport Control by Surface Graphene Oxide for Selective CO Production from Electrochemical CO2 Reduction ACS CATALYSIS, 2020, v.10 no.5, 3222-3231
- Toward the practical application of direct CO2 hydrogenation technology for methanol production International Journal of Energy Research, 2020, v.44 no.11, 8781-8798
- An experimental based optimization of a novel water lean amine solvent for post combustion CO2 capture process APPLIED ENERGY, 2019, v.248, 174-184
- Bayesian Inference of Aqueous Mineral Carbonation Kinetics for Carbon Capture and Utilization INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, v.58 no.19, 8246-8259
- Development of surrogate model using CFD and deep neural networks to optimize gas detector layout KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2019, v.36 no.3, 325-332
- General technoeconomic analysis for electrochemical coproduction coupling carbon dioxide reduction with organic oxidation NATURE COMMUNICATIONS, 2019, v.10, 5193
- Multicompartment Model of an Ethylene-Vinyl Acetate Autoclave Reactor: A Combined Computational Fluid Dynamics and Polymerization Kinetics Model INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2019, v.58 no.36, 16459-16471
- [학술지논문] Assessing Grid Penalized Reinforcement Learning for Renewable Energy Management of Power-to-X Integrated With Intermediate Storage IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2026, v.1 no.1 , 1-1
- [학술지논문] Simultaneous optimization of reactor design and operating conditions using geometry-aware physics-informed neural network CHEMICAL ENGINEERING JOURNAL, 2026, v.527 no.1 , 171870-171870
- [학술지논문] A Shortcut Modeling Platform for Optimizing Catalyst Distribution of the CO2-to-Methanol Process INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2025, v.2025 no.1 , 232714-232714
- [학술지논문] Discovering the Origin of Catalyst Performance and Degradation of Electrochemical CO2 Reduction through Interpretable Machine Learning ACS CATALYSIS, 2025, v.15 no.3 , 2158-2170
- [학술지논문] Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2025, v.21 no.1 , 4-11
- [학술지논문] Maximizing biomass utilization: An integrated strategy for coproducing multiple chemicals JOURNAL OF ENERGY CHEMISTRY, 2025, v.100 no.1 , 180-191
- [학술지논문] Optimal hybrid renewable microgrids via energy demand control using media platforms in South Korea SUSTAINABLE CITIES AND SOCIETY, 2025, v.118 no.1 , 106027-106027
- [학술지논문] Physics-informed neural network with moving boundary constraints for modeling hydraulic fracturing COMPUTERS & CHEMICAL ENGINEERING, 2025, v.203 no.1 , 109308-109308
- [학술지논문] Self-driving laboratories with artificial intelligence: An overview of process systems engineering perspective COMPUTERS & CHEMICAL ENGINEERING, 2025, v.203 no.1 , 109266-109266
- [학술지논문] Toward sustainable ammonia: A techno-economic and environmental assessment of emerging electrochemical ammonia synthesis pathways CHEMICAL ENGINEERING JOURNAL, 2025, v.524 no.1 , 169131-169131
- [학술지논문] Utilization of carbon dioxide and nitrate to produce sodium bicarbonate through a nitrate hydrogenation method JOURNAL OF CO2 UTILIZATION, 2025, v.94 no.1 , 103060-103060
- [학술지논문] Computational Fluid Dynamics Simulation for Controllable Residence Time Distribution in a Slug Flow Crystallizer CRYSTAL GROWTH & DESIGN, 2024, v.24 no.9 , 3876-3887
- [학술지논문] Economic and environmental insights into the hybrid ethylene oxide production processes CHEMICAL ENGINEERING JOURNAL, 2024, v.494 no.1 , 152879-152879
- [학술지논문] Materials discovery with extreme properties via reinforcement learning-guided combinatorial chemistry CHEMICAL SCIENCE, 2024, v.15 no.21 , 7908-7925
- [학술지논문] Molar-scale formate production via enzymatic hydration of industrial off-gases Nature Chemical Engineering, 2024, v.1 no.1 , 354-364
- [학술지논문] Multiphysics generalization in a polymerization reactor using physics-informed neural networks CHEMICAL ENGINEERING SCIENCE, 2024, v.298 no.1 , 120385-120385
- [학술지논문] Production rescheduling via explorative reinforcement learning while considering nervousness COMPUTERS & CHEMICAL ENGINEERING, 2024, v.186 no.1 , 108700-108700
- [학술지논문] Pulsed electrolysis for CO2 reduction: Techno-economic perspectives ISCIENCE, 2024, v.27 no.8 , 110383-110383
- [학술지논문] The AI circular hydrogen economist: Hydrogen supply chain design via hierarchical deep multi-agent reinforcement learning CHEMICAL ENGINEERING JOURNAL, 2024, v.497 no.1 , 154464-154464
- [학술지논문] Ultrasound-based separation of ethanol-water mixtures is economically advantageous and sustainable CELL REPORTS PHYSICAL SCIENCE, 2024, v.5 no.2 , 101785-101785
- [학술지논문] A chemically inspired convolutional neural network using electronic structure representation JOURNAL OF MATERIALS CHEMISTRY A, 2023, v.11 no.19 , 10184-10184
- [학술지논문] Comparison of Derivative-Free Optimization: Energy Optimization of Steam Methane Reforming Process INTERNATIONAL JOURNAL OF ENERGY RESEARCH, 2023, v.2023 no.1 , 1-20
- [학술지논문] Green hydrogen and sustainable development-A social LCA perspective highlighting social hotspots and geopolitical implications of the future hydrogen economy JOURNAL OF CLEANER PRODUCTION, 2023, v.395 no.1 , 136438-136438
- [학술지논문] Microkinetic study of syngas conversion to dimethyl ether over a bifunctional catalyst: CZA/FER KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2023, v.40 no.11 , 2632-2645
- [학술지논문] Multi-objective optimization of explosive waste treatment process considering environment via Bayesian active learning ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, v.117 no.0 , 105463-105463
- [학술지논문] Optimal planning of hybrid energy storage systems using curtailed renewable energy through deep reinforcement learning ENERGY, 2023, v.284 no.1 , 128623-128623
- [학술지논문] Techno-economic analysis and life-cycle assessment of the electrochemical conversion process with captured CO2 in an amine-based solvent GREEN CHEMISTRY, 2023, v.25 no.24 , 10398-10414
- [학술지논문] Adversarial Autoencoder Based Feature Learning for Fault Detection in Industrial Processes IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, v.18 no.2 , 827-834
- [학술지논문] CFD modeling for the prediction of molecular weight distribution in the LDPE autoclave reactor: Effects of non-ideal mixing CHEMICAL ENGINEERING JOURNAL, 2022, v.427 no.0 , 131829-131829
- [학술지논문] Data-driven robust optimization for minimum nitrogen oxide emission under process uncertainty CHEMICAL ENGINEERING JOURNAL, 2022, v.428 no.0 , 130971-130971
- [학술지논문] Deep Neural Network-based Optimization Framework for Safety Evacuation Route during Toxic Gas Leak Incidents RELIABILITY ENGINEERING & SYSTEM SAFETY, 2022, v.218 no.0 , 108102-108102
- [학술지논문] Microenvironments of Cu catalysts in zero-gap membrane electrode assembly for efficient CO2 electrolysis to C2+ products JOURNAL OF MATERIALS CHEMISTRY A, 2022, v.10 no.19 , 10363-10372
- [학술지논문] Origin of Hydrogen Incorporated into Ethylene during Electrochemical CO2 Reduction in Membrane Electrode Assembly ACS ENERGY LETTERS, 2022, v.7 no.3 , 939-945
- [학술지논문] Physics-informed deep learning for data-driven solutions of computational fluid dynamics KOREAN JOURNAL OF CHEMICAL ENGINEERING, 2022, v.39 no.3 , 515-528
- [학술지논문] Bayesian Optimization of Semicontinuous Carbonation Process Operation Recipe INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.27 , 9871-9884
- [학술지논문] Bayesian optimization of industrial-scale toluene diisocyanate liquid-phase jet reactor with 3-D computational fluid dynamics model JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY, 2021, v.98 no.0 , 327-339
- [학술지논문] Clustered Manifold Approximation and Projection for Semisupervised Fault Diagnosis and Process Monitoring INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2021, v.60 no.26 , 9521-9531
- [학술지논문] Design methodology for mass transfer-enhanced large-scale electrochemical reactor for CO2 reduction CHEMICAL ENGINEERING JOURNAL, 2021, v.424 no.0 , 130265-130265
- [학술지논문] Efficient Bayesian inference using adversarial machine learning and low-complexity surrogate models COMPUTERS & CHEMICAL ENGINEERING, 2021, v.151 no.0 , 107322-107322
- [학술지논문] Efficient Discovery of Active, Selective, and Stable Catalysts for Electrochemical H2O2 Synthesis through Active Motif Screening ACS CATALYSIS, 2021, v.11 no.5 , 2483-2491
- [학술지논문] Electrocatalytic Reduction of Low Concentrations of CO2 Gas in a Membrane Electrode Assembly Electrolyzer ACS ENERGY LETTERS, 2021, v.6 no.10 , 3488-3495
- [학술지논문] Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention JOURNAL OF CHEMICAL INFORMATION AND MODELING, 2021, v.61 no.12 , 5804-5814
- [학술지논문] Learning the properties of a water-lean amine solvent from carbon capture pilot experiments APPLIED ENERGY, 2021, v.283 no.0 , 116213-116213
- [학술지논문] Machine learning-based utilization of renewable power curtailments under uncertainty by planning of hydrogen systems and battery storages Journal of Energy Storage, 2021, v.41 no.1 , 103010-103010
- [학술지논문] Towards the Large-Scale Electrochemical Reduction of Carbon Dioxide CATALYSTS, 2021, v.11 no.2 , 253-253
- [학술발표] Explainable formation energy prediction for uncovering the relationship between the electronic structure and stability of the heterogeneous catalyst The 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33), 그리스, 아테네, 2023-06-19 Computer Aided Chemical Engineering, 2023
- [학술발표] Physics-informed neural networks for optimization of polymer reactor design The 33rd European Symposium on Computer-Aided Process Engineering (ESCAPE-33), 그리스, 아테네, 2023-06-19 Computer Aided Chemical Engineering, 2023
- [학술발표] Break the Trade-Off Relationship between Detection and Diagnosis Performance through Explainable Deep Learning 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] Decision-Making Optimization of Hybrid Energy Management System for Curtailed Renewable Energy through Deep Reinforcement Learning 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-13 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] Energy optimization of chemical process : Comparison of derivative-free algorithms 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-15 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] General Techno-Economic Analysis of Electrochemical Ammonia Production Processes with Various Nitrogen Sources 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-15 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] Multi-Objective Catalyst Shape Optimization for Solid-Catalyzed Gas-Phase Reactions with q-Expected Hypervolume Improvement Via Particle-Resolved CFD Simulations 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] Slug Flow Reactor Simulation for Controllable Residence Time Distribution Using Computational Fluid Dynamics 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] Techno-Economic Analysis of Ultrasound Technology for Ethanol-Water Mixture Separation Process 2022 AIChE Annual Meeting, 미국, 피닉스, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] echno-Economic and Life-Cycle Assessment of Electrochemical Captured CO2 Conversion Process in Monoethanolamine 2022 AIChE Annual Meeting, 미국, 2022-11-16 2022 AIChE Annual Meeting Proceeding, 2022
- [학술발표] Autonomous Exploration of Catalyst Shape with Blender-CFD based Multi-Objective Bayesian Optimization 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
- [학술발표] Comparative study of electrochemical ammonia production processes via nitrogen reduction 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-28 한국화학공학회 초록집, 2021
- [학술발표] Conceptual design of non-equilibrium ultrasonic separation for clean chemical processes 2021 한국공업화학회 추계 총회 및 학술대회 , 대한민국, 2021-11-05 한국공업화학회 초록집, 2021
- [학술발표] Efficient Calculation of Molecular Weight Distribution in the Presence of Non-ideal Mixing 한국화학공학회 2020년도 봄 총회 및 학술대회, 대한민국, 2021-04-22 한국화학공학회 초록집, 2021
- [학술발표] Explainable Catalyst Performance Prediction for Electrochemical CO2RR 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
- [학술발표] Generative Chemical Transformer: Attention makes neural machine learn molecular structures via text 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-28 한국화학공학회 초록집, 2021
- [학술발표] Geometric optimization of random packing catalyst in trickle-bed reactor using computational fluid dynamics 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
- [학술발표] Kinetic Modeling and Process Design of Shale gas Aromatization using Mo/ZSM-5 in Packed Bed Catalytic Reactor 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
- [학술발표] Multiscale model to Interpret kinetic behavior of CO2 RR system on Ag foil catalyst 한국화학공학회 2020년도 봄 총회 및 학술대회, 대한민국, 2021-04-23 한국화학공학회 초록집, 2021
- [학술발표] Optimal Decision-making Model for Renewable Energy Supply Chain Using Reinforcement Learning 한국화학공학회 2021년도 가을 총회 및 국제 학술대회, 대한민국, 2021-10-29 한국화학공학회 초록집, 2021
Courses
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2025-2nd
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Process Control Systems
- Subject No 37520Class No 01
- 3Year ( 3Credit , 3Hour) Wed 3~3 (ENG ) , Fri 2~2 (159)
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2025-1st
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Chemical Process Design
- Subject No 37525Class No 01
- 4Year ( 3Credit , 3Hour) Tue 6~6 (ESEA) , Thu 4~4 (CH)
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Chemical Engineering Mathematics
- Subject No 38776Class No 01
- 2Year ( 3Credit , 3Hour) Mon 2~2 (ENG A) , Thu 3~3 (101)
- Exchange Students are not allowed
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Introduction to System Health
- Subject No G18067Class No 01
- Year ( 3Credit , 3Hour) Thu 7~8
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Introduction to System Health
- Subject No G18441Class No 01
- Year ( 3Credit , 3Hour) Thu 7~8
- Professor Changed
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2024-2nd
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Process Control Systems
- Subject No 37520Class No 01
- 3Year ( 3Credit , 3Hour) Wed 3~3 (ENG ) , Fri 2~2 (161)
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Systems Science Machine Learning
- Subject No G18280Class No 01
- Year ( 3Credit , 3Hour) Wed 4~5 (ESEA)
- Classroom Changed
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2024-1st
-
Chemical Engineering Lab Ⅱ
- Subject No 37516Class No 02
- 3Year ( 3Credit , 4.5Hour) Thu 6~8 (ENG )
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Chemical Process Design
- Subject No 37525Class No 01
- 4Year ( 3Credit , 3Hour) Mon 4~4 (ESEA) , Thu 5~5 (CH)
-
Chemical Engineering Mathematics
- Subject No 38776Class No 01
- 2Year ( 3Credit , 3Hour) Mon 2~2 (ENG A) , Thu 3~3 (101)
-
Advanced Convergent Materials for System Healthcare
- Subject No G18278Class No 01
- Year ( 3Credit , 3Hour) Tue 6~7 (ENG )
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2023-2nd
-
Process Control Systems
- Subject No 37520Class No 01
- 3Year ( 3Credit , 3Hour) Mon 2~2 (ENG ) , Thu 3~3 (159)
-
Systems Science Machine Learning
- Subject No G18280Class No 01
- Year ( 3Credit , 3Hour) Thu 4~5 (ENG )
-
-
2023-1st
-
Chemical Process Design
- Subject No 37525Class No 01
- 4Year ( 3Credit , 3Hour) Wed 6~6 (ENG ) , Fri 4~4 (161)
-
Chemical Engineering Mathematics
- Subject No 38776Class No 01
- 2Year ( 3Credit , 3Hour) Tue 4~4 (POSCO464) , Fri 5~5 (POSCO464)
-
Introduction to System Health 강의 계획서 상세보기
- Subject No G18067Class No 01
- Year ( 3Credit , 3Hour) Thu 7~8
-
Advanced convergent materials for system healthcare
- Subject No G18278Class No 01
- Year ( 3Credit , 3Hour) Thu 3~4 (ENG )
-
Introduction to System Health
- Subject No G18441Class No 01
- Year ( 3Credit , 3Hour) Thu 7~8
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Academic Background
Seoul Nat'l Univ. 공학박사(화학생물공학부)
Seoul Nat'l Univ. 공학사(화학생물공학부)
Work Experience
Carnegie Mellon University 2019-07-01 ~ 2020-02-29
한국과학기술연구원(KIST) 2018-03-01 ~ 2019-06-21
Massachusetts Institute of Technology, Visiting Scholar 2026-03-01 ~ 2027-02-28
Internal Awards
신진이화펠로우2025-03-01
연구실적우수(우수)2024-03-01
External Awards
Computers & Chemical Engineering (CACE) Best Paper Award (Elsevier)2022-11-15
Miwon Young Scientist Award (한국공업화학회)2024-05-09
