Research output per year
Research output per year
Personal profile
Personal profile
- Ph. D. in chemical engineering Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, 1992
- M.S. in chemical engineering Korea Advanced Institute of Sciences and Technology (KAIST) Seoul, Korea, 1985
- Yonsei University, Seoul, Korea, 1983
Professional Information
- Conference Chair, The 2016 World Engineering Education Forum & Global Engineering Deans Council, 2016
- Head, Yonsei Graduate School of Integrated Engineering, 2014-Now
- Chief, Yonsei Research Center for Global Safety Technologies, 2013-Now
- Director,Directorate for National Science and Engineering Programs, National Research Foundation of Korea, 2015.11 - Now
- Senior Vice President for Research Affairs,Yonsei University, 2018-Now
Research interests
The development of appropriate tools, Methodologies for the synthesis, Analysis of various chemical processes, Safety verification of chemical process operating procedures
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Development and Optimization of A Low-Pressure Microbubble Scrubber for Air Pollutants Removal Using CFD
Park, H., Yang, S., Yoo, Y., Jung, J., Moon, I., Cho, H. & Kim, J., 2024, In: Journal of Environmental Informatics. 43, 1, p. 31-40 10 p., 202400506.Research output: Contribution to journal › Article › peer-review
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Hybrid data-driven deep learning model for state of charge estimation of Li-ion battery in an electric vehicle
Oh, S., Kim, J. & Moon, I., 2024 Sept 10, In: Journal of Energy Storage. 97, 112887.Research output: Contribution to journal › Article › peer-review
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Hybrid Quantum Neural Network Model with Catalyst Experimental Validation: Application for the Dry Reforming of Methane
Roh, J., Oh, S., Lee, D., Joo, C., Park, J., Moon, I., Ro, I. & Kim, J., 2024 Mar 11, In: ACS Sustainable Chemistry and Engineering. 12, 10, p. 4121-4131 11 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Interpretable machine learning framework for catalyst performance prediction and validation with dry reforming of methane
Roh, J., Park, H., Kwon, H., Joo, C., Moon, I., Cho, H., Ro, I. & Kim, J., 2024 Apr, In: Applied Catalysis B: Environmental. 343, 123454.Research output: Contribution to journal › Article › peer-review
Open Access12 Citations (Scopus) -
Modeling Framework for Optimization of the Life Cycle Sustainability of Lithium-Ion Batteries by Nickel Manganese Cobalt Recycling Process
Kim, M., Kim, J., Kim, J., Yoon, H., Nachtergaele, P. & Moon, I., 2024 Jan, In: Computer Aided Chemical Engineering. 53, p. 1105-1110 6 p.Research output: Contribution to journal › Article › peer-review