Our research in the area of process systems engineering lies at the intersection of chemical engineering and operations research. Leveraging the power of mathematical modeling and optimization, we develop enabling technologies that enhance decision making in complex engineering systems. The following figure summarizes our research interests, organized into three broad categories.
- Foundations are areas that provide the theoretical basis for our research and in which we strive to make fundamental contributions. In particular, we are interested in developing efficient computational methods and advancing theory in mixed-integer linear/nonlinear programming, bilevel programming, and optimization under uncertainty.
- Technologies represent our efforts in developing models and solution approaches that can solve relatively general sets of problems, such as in the areas of integrated process design and operation, planning and scheduling, and network optimization. The desired results from the research are computational tools that can be readily used to solve problems of certain types in a large variety of applications.
- Applications are broad areas of application in which we solve problems of scientific and industrial interest with the technologies that we develop in our research. Examples include the design of integrated process and energy systems, smart grid applications, modular manufacturing, and risk management in supply chains.