Active Research

I have had numerous opportunities to work with undergraduates both during graduate school and as a new professor at Baldwin-Wallace college. My primary interests lie in Artificial Intelligence, particularly my dissertation research (see menu above). I also have a growing interest in planning and learning algorithms, language systems, and search and optimization problems. Furthermore, I am willing to work with any self-driven student who has a well-thought out project idea. Any students who are interested in working with me on a project should contact me by email, or just stop by my office any time my door is open!

Students at Baldwin-Wallace College:

• Konstantin Dinev ('10): Investigated application of machine learning methods to predict the nubmer of clusters in a relational data set by observing general global graph properties.
• Kyle Ungur ('10): Developed several artificial intelligence controllers for the Starcraft gaming environment.

Students at UMBC:

• Joseph Montminy (’06): Helped to collect and refine data sets, and helped to develop several relational clustering algorithms.
• Steven Martin (’08): Also helped with data collection. Later, Steve helped develop a multi-agent team formation framework for use in a classroom environment.
• Michael Lombardi (’10): Helped develop the block modularity algorithm, a fast relational clustering algorithm that is able to cluster based on any cluster-connectivity pattern, whether it is community-based, hierarchical or otherwise.
• Paul Guseman (’09): Helped develop an Expectation Maximization version of a block modeling algorithm for comparison to the block modularity algorithm.