Welcome to SystemsLab Web
SystemsLab aims to develop systematic approaches to problems in science, engineering and scientific management. Our research has three primary components: modeling, solution algorithms, and application.
We target development of modeling approaches that integrates data (both qualitative and quantitative) with physical models. For this purpose, we use propositional logic to express the interrelationships among the qualitative and/or discrete features of the system and the generalized disjunctive programming framework to combine these features with the physical models.
We are interested in finding optimal solutions to complex problems. Most of the problems that we address are modeled using both discrete and continuous variables with linear and nonlinear behavior. We develop solution algorithms that exploit discrete/continuous structure of the system.
The application areas include process systems engineering, systems biology, and supply chain management and logistics: