My research interests are in the general area of Process Systems Engineering (PSE) and combines breadth with depth by including different time and length scales. There is great potential for interdisciplinary research, thus promoting methodological, algorithmic, and intellectual advances for the Chemical Engineering and other scientific and engineering communities. A common theme is the application and development of rigorous and systematic computational methods, which employ model-driven (first-principles) and data-driven (statistical) approaches coupled with solution strategies for simulation- and optimization-based models. Applications range from the molecular level (e.g., materials and catalyst design, systems biology), to process unit models (e.g., steady-state and dynamic simulation and optimization of chemical, water, and energy systems), to chemical plants, sites, and global supply chains (e.g., tactical and strategic decision making, such as production planning and scheduling, and supply chain design).

Multi-scale Process Systems Engineering research breadth