July 1999

My primary area of research is Artificial Neural Networks. I am interested in neural network learning algorithms, architectures, and applications. Currently, my research focus is on ensemble learning. My dissertation, entitled Improving Generalization of Constructive Neural Networks Using Ensembles proposed an ensemble of constructive networks and several combination methods for classification. This research was performed under the direction of R.C. (Chris) Lacher, Professor and Chair, Department of Computer Science and completed in the Spring of 1999. However, related work is ongoing, as we continue to upgrade and deploy the NNES simulator.

I have been involved with neural network research since 1993 and am fascinated by the endless possibilities afforded by neuro-computing. The application of neural networks for pattern recognition and classification are of particular interest to me, regardless of the domain. Other projects I am currently collaborating on engage the use of neural networks in marketing and in educational assessment. I am also interested in further investigation of hybrid intelligent systems, incorporating multiple artificial intelligence technologies, such as neural networks, robotics, genetic algorithms, or expert systems.

During my graduate study at both Florida State University and Western Illinois University, I spent a significant amount of time on the study and implementation of expert systems, hypermedia, and database technologies. In conjunction with my master's thesis, I conducted research in hypertext technology and experimental management systems (EMS). This led to further research combining hypermedia and EMS technologies, as well as hypermedia functionality under an object-oriented database paradigm. Although I am not currently pursuing research in these areas, they continue to interest me and will likely resurface in future work.

Many complex problems exist in our world. The solutions for such problems may be surprisingly simple, or complex themselves. Yet, for many, computational solutions exist at our fingertips. We see examples of this with each passing day: robotic spacecraft, VR surgical techniques, and autonomous vehicle control just to name a few. In order to provide useful tools to solve serious problems we must be continually searching for ways in which to advance existing technologies. Our search must be one of determination and perseverance, for the solution may be just within our grasp. It is in this spirit that I intend to probe uncharted territories, in the search for solutions to real problems. I have a genuine desire to devote my efforts to science. Although I enjoy teaching, it is the lure of scientific research that makes the field so exciting.