Research Interests:
include Computational Intelligence and Model Based Systems Engineering, with application areas in energy systems and bioinformatics/computational biology. My research focus in computational intelligence involves fundamental research on the nature of these methods and how they can be used for data analysis, system optimization, and system integration. This includes researching the use of genetic algorithms to speed up calculation times for mathematical simulations and the design of resilient systems. I have recently started investigating how techniques used in this area can be applied to biological systems. Ongoing work includes the investigation into the effects of using graph theory to control the local mating rules for a searching algorithm. Model Based Systems Engineering is a research area that focuses on shifting the focus of systems engineering from a document centric system to a model centric system.
Teaching Interests:
are also focused on the use of computational resources to enable complexity management for the design of complex systems. I offer the core of the Model Based Systems Engineering specialty track as well as the introductory Systems Engineering course for our department core coursework.
Education:
Dissertation: The Role of Information Flow in Engineering Optimization
Thesis: Measuring Information Exchange Rate for Graph Based Evolutionary Algorithms in Engineering Optimization.