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FACULTY
2007.02 서울대학교 화학생물공학부 대학원, 공학박사
2003. 02 서울대학교 화학공학과 대학원, 공학석사
2001.02 서울대학교 화학공학과 ,공학사
2009.06~ 2010.06 Postdoctoral Fellow at the Department of Chemical & Materials, University of Alberta, Edmonton, Canada
2011.01~2012.08 Manager, Samsung Corning Precision Materials, Rep. of Korea
2018.09~2019.08 Visiting Professor at the Department of Chemical Engineering, University of Southern California, LA, CA, USA
화학공정안전
등록된 내용이 없습니다.
1. Song, H. O., Jang, J., & Lee, C. J. The Mathematical Modeling and Simulation of a New Mitigation System Including a Remote Impoundment. Processes, 9(1), 147. 2021.
2. de Almeida, G. M., Park, S. W., Kim, S. C., & Lee, C. J. A sampling-based stochastic optimization for a boiler process in a pulp industry. Korean Journal of Chemical Engineering, 37(4), 588-596. 2020.
3. Jung, B., & Lee, C. J. Plant layout and blast wall optimization with the consideration of operating conditions and potential explosions. Process Safety and Environmental Protection, 132, 285-293. 2019.
4. Lee, K. O., Park, J. Y., & Lee, C. J. Evaluation of a mitigation system for leakage accidents using mathematical modeling. Korean Journal of Chemical Engineering, 35(2), 348-354. 2018.
5. Yang, H. J., Hwang, K. S., & Lee, C. J. Stochastic optimization of a natural gas liquefaction process considering seawater temperature variation based on particle swarm optimization. Industrial & Engineering Chemistry Research, 57(6), 2200-2207. 2018.
6. Jeong, D. H., Lee, C. J., & Lee, J. M. Experimental gradient estimation of multivariable systems with correlation by various regression methods and its application to modifier adaptation. Journal of Process Control, 70, 65-79. 2018.
7. Lee, D. H., & Lee, C. J. The plant layout optimization considering the operating conditions. Journal of Chemical Engineering of Japan, 50(7), 568-576. 2017.
8. Lee, C. J. Optimal multi-floor plant layout based on the mathematical programming and particle swarm optimization. Industrial health, 53(6), 491-497. 2015.
9. Lee, C. J., Lee, G., & Lee, J. M. A fault magnitude-based strategy for effective fault diagnosis and isolation. Journal of Chemical Engineering of Japan, 48(1), 44-51. 2015.
10. Lee, C. J., Lee, G., & Lee, J. M. A fault magnitude based strategy for effective fault classification. Chemical Engineering Research and Design, 91(3), 530-541. 2013.
11. Lee, C. J., Yang, Y., Prasad, V., & Lee, J. M. Samplebased approaches to decision making problems under uncertainty. The Canadian Journal of Chemical Engineering, 90(2), 385-395. 2012.
12. Lee, C. J., & Lee, J. M. An Advanced Group Contribution Method for HighDimensional, Sparse Data Sets. Molecular informatics, 31(1), 41-52. 2012.
13. Lee, C. J., Ko, J. W., & Lee, G. Flash point prediction of organic compounds using a group contribution and support vector machine. Korean Journal of Chemical Engineering, 29(2), 145-153. 2012.
14. Lee, C. J., Prasad, V., & Lee, J. M. Stochastic nonlinear optimization for robust design of catalysts. Industrial & engineering chemistry research, 50(7), 3938-3946. 2011.
15. Lee, C. J., Lee, G., So, W., & Yoon, E. S. A new estimation algorithm of physical properties based on a group contribution and support vector machine. Korean Journal of Chemical Engineering, 25(3), 568-574. 2008.
16. Lee, C. J., Lee, G., Han, C., & Yoon, E. S. A hybrid model for fault diagnosis using model based approaches and support vector machine. Journal of chemical engineering of Japan, 39(10), 1085-1095. 2006.
17. Ahn, S. J., Lee, C. J., Jung, Y., Han, C., Yoon, E. S., & Lee, G. Fault diagnosis of the multi-stage flash desalination process based on signed digraph and dynamic partial least square. Desalination, 228(1-3), 68-83. 2008.？
