Gunawan:Jia Gengjie: Difference between revisions
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#Parameter estimation of kinetic models from incomplete metabolic profiles | #Parameter estimation of kinetic models from incomplete metabolic profiles | ||
In order to meet the challenges arising by incomplete and noisy data, a combined iterative approach is proposed to estimate the parameters and fill the missing information. | In order to meet the challenges arising by incomplete and noisy data, a combined iterative approach is proposed to estimate the parameters and fill the missing information.</p> | ||
#Parameter estimation of kinetic models - How to use stationary data for dynamics | #Parameter estimation of kinetic models - How to use stationary data for dynamics | ||
In order to maximize the information behind data, the stationary part and dynamic part of time series data are separated and play different roles in the parameter estimation. | In order to maximize the information behind data, the stationary part and dynamic part of time series data are separated and play different roles in the parameter estimation. | ||
#Structure identification of kinetic models - An incremental strategy | #Structure identification of kinetic models - An incremental strategy | ||
For the future work, an incremental strategy will be developed to identify kinetic models including network stoichiometry and kinetic parameters from time series data. | For the future work, an incremental strategy will be developed to identify kinetic models including network stoichiometry and kinetic parameters from time series data. | ||
==Publications== | ==Publications== | ||
<!-- Replace the PubMed ID's ("pmid=#######") below with the PubMed ID's for your publications. You can add or remove lines as needed --> | <!-- Replace the PubMed ID's ("pmid=#######") below with the PubMed ID's for your publications. You can add or remove lines as needed --> |
Revision as of 22:24, 19 May 2010
Chemical and Biological Systems Engineering Laboratory
Jia Gengjie
Department of Chemical and Biomolecular Engineering
4 Engineering Drive 4 Block E5 #B-05
National University of Singapore
Singapore 117576
Tel:+65 6516 7859
I work in the Gunawan lab at National University of Singapore.
Education
- 2008, B.Sc(Bioscience), University of Science and Technology of China.
Research Interests
Optimal control of crystallization processes
- Metabolic Model Identification Parameter Estimation and Structure Identification
- Parameter estimation of kinetic models from incomplete metabolic profiles
In order to meet the challenges arising by incomplete and noisy data, a combined iterative approach is proposed to estimate the parameters and fill the missing information.
- Parameter estimation of kinetic models - How to use stationary data for dynamics
In order to maximize the information behind data, the stationary part and dynamic part of time series data are separated and play different roles in the parameter estimation.
- Structure identification of kinetic models - An incremental strategy
For the future work, an incremental strategy will be developed to identify kinetic models including network stoichiometry and kinetic parameters from time series data.