For a brief description of the principles guiding our research, see this page. Our present research activities are motivated by two recent research breakthroughs related to two generalizations of the Design of Experiments (DoE) methodology. This well-established methodology has an important limitation with respect to dynamic systems. DoE cannot design dynamic experiments, with a factor that is a function of time. At the same time, it cannot efficiently model time-resolved data.
The Design of Dynamic Experiments (DoDE) methodology enables the design of experiments in which some of the factors (input variables or operation conditions) are functions of time. Details are given here.
The Dynamic Response Surface Methodology (DRSM), the second breakthrough, generalizes the Response Surface Methodology (RSM). It models time-resolved data, collected at different time instants, from a set of experiments. Details are given here.
These new methodologies have been utilized to provide accurate data-driven models for several challenging problems.