Hyun-Seob Song: My research interests include the following four topics due to my experiences in industry as well as academia, and in biological as well as chemical engineering areas. Since 2007, my work at Purdue has focused on mathematical modeling and analysis of metabolic systems using the cybernetic modeling approach.
Modeling and analysis of metabolic systems:
 ·         Dynamic modeling of complex metabolic systems using the hybrid cybernetic approach and Young’s framework.
  ·         Systematic reduction of a set of elementary modes using yield analysis
  ·         Robustness analysis of metabolic systems

Energy and environment-related research:
  ·         Development of strategies for metabolic engineering of yeast for enhancing bioethanol productivity
  ·         Optimization of fermenters towards maximizing bioethanol productivity
  ·         Modeling and optimization of plastic pyrolysis processes
  ·         Analysis of Fischer-Tropsch reactors
  ·         Life-cycle assessment (LCA) of plastic materials
 
Computational fluid mixing and scale-up:
  ·         Mixing analysis using computational fluid dynamics (CFD)
  ·         CFD-directed scale-up based on dimensional analysis

  Applied mathematics:
  ·         Development of a powerful method of computing exponential matrix using a new subspace method
  ·         Development of curvilinear search methods for optimization
  ·         Nonlinear analysis of complex chemical and biological systems
  ·         Numerical analysis of hyperbolic partial differential equations