| Our
research is focused on two areas: (i) nonlinear model-based control
of complex nonlinear and distributed processes, and (ii) the application
of systems engineering tools to problems in biology. The former
topic is addressed with advanced simulation, optimization, and
model reduction methodologies, and the problems of interest span
the chemical, pulp & paper, and pharmaceutical sectors. Of
particular interest are the control of distributions in particule
systems. In the area of systems biology, we bring traditional
systems engineering tools (e.g., model identification, parametric
sensitivity, and closed-loop analysis) to analyze complex, hierarchical
biological systems. The guiding principle is that systems-level
behavior can only be understood by considering systematic interactions
across multiple time and spatial dimensions.
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