Gunawan:Ang Kok Siong

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(New page: {{Template:Gunawan}} <!-- Delete this entire line as part of your first edit of your user page --> {{New user}} ==Contact Info== [[Image:OWWEmblem.png|thumb|right|Ang, Kok Siong (an artis...)
(Research interests)
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# Control Systems
# Control Systems
# Global Optimization
# Global Optimization
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Paremeter Estimation of Oscillatory Systems
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Oscillatory behavior is exhibited by many biological systems. Examples these include the circadian rhythm and p53-mdm2 response to DNA damage. Such dynamical behavior is important and integral of a higher biological function, such as sleeping and feeding patterns (circadian rhythm) and DNA repair (p53-mdm2). To study these systems, in-silico models have been developed to aid in the analysis. However, the corresponding model parameters are usually chosen qualitatively such that the system to exhibit the general characteristics of experimental data. The focus of the research here is to facilitate reconciliation of the model with experimental data in a quantitative manner.
==Publications==
==Publications==

Revision as of 13:21, 17 July 2008

Chemical and Biological Systems Engineering Laboratory

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Contact Info

Ang, Kok Siong (an artistic interpretation)
Ang, Kok Siong (an artistic interpretation)
  • Ang, Kok Siong
  • National University of Singapore (NUS)
  • 4 Engineering Drive 4, Blk E5 #B-05, Singapore 117576
  • Singapore
  • Email me through OpenWetWare

I work in the Gunawan Lab at National University of Singapore.

Education

  • Student, M.Eng, NUS
  • 2006, B.Eng, NUS

Research interests

  1. Systems Biology
  2. Control Systems
  3. Global Optimization

Paremeter Estimation of Oscillatory Systems Oscillatory behavior is exhibited by many biological systems. Examples these include the circadian rhythm and p53-mdm2 response to DNA damage. Such dynamical behavior is important and integral of a higher biological function, such as sleeping and feeding patterns (circadian rhythm) and DNA repair (p53-mdm2). To study these systems, in-silico models have been developed to aid in the analysis. However, the corresponding model parameters are usually chosen qualitatively such that the system to exhibit the general characteristics of experimental data. The focus of the research here is to facilitate reconciliation of the model with experimental data in a quantitative manner.

Publications

  1. []

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