Brad Holt's research involves the use of nonlinear control algorithms and neural networks to implement robust controllers. Larry Ricker's group develops control algorithms for complex continuous and batch processes based on model predictive control. In this method a mathematical model is developed based on key process features and that model used directly in a control strategy. Such a controller is currently operating in the Seattle sewer system, a network of over 100 miles of large diameter pipes in which control of storm water overflow is managed at 23 points. Bringing advanced numerical methods to the engineers who need them has long characterized Bruce Finlayson's work.
Current work is focused on solution of moving boundary problems.
This class of problem occurs often in chemical engineering processes, for example, in describing the escapage of solutes from blood passing through the heart and skeletal muscles, maximum resolution possible in thermal imaging systems for printing bar codes, and movement of the reaction front through an automotive catalytic converter. Moving boundary problems invariably come about by nonlinear processes, thereby necessitating the use of fast, nonlinear, numerical methods to obtain accurate models. Finlayson's research group has also just completed the Chemical Reactor Design Tool, a software package for designing chemical reactors.