Research

The interests of my grad students have extended to areas that excite and motivate them such a cancer simulation and Markov Chain Monte Carlo techniques. My research areas are:

Evolutionary Processes

Evolutionary processes occur both naturally and artificially. In the later case we use evolution based algorithms to perform optimizations and classification. My research has included function optimization by evolutionary/stochastic algorithms, problem difficulty for evolutionary optimizers, and in general machine learning and stochastic optimization.

Bioinformatics

I am particularly interested in classification, biological sequence analsysis, regulatory networks and epistatic analysis.

Biosimulation

This includes biosimulation and social simulation such as the evolution of cooperation, spread of disease.

Cellular level simulation of the onset of ductal carcinoma in situ in breast
cancer. Work done with Armand Bankhead.

Agent-based simulation

Current intrest is in conflict models for international relations.

A model extending the classic deterrence game.
Work done with Annie S. Wu, Raymond Dacey, and Lisa Carlson
Evolving programs to run teams of large numbers of robots.

A simulation of heterogeneous Robot teams clearing
a mine field. The programs for the teams were evolved. Work done with Terry Soule.

Graduates

Some Recent Publications (2006-2007)

NOTE: some of the pdfs of the papers have not been added yet