My general interest includes using computers, programming, and modeling to solve complex problems from many disciplines, especially utilizing the Unix programming environment.
My current research involves developing methods for computing Optimal Monitoring Interval Length (OMIL) for anomaly detection using time series analysis and protocol graphs. The result of this work is a process for determining an OMIL for time series analysis that will allow the network administrator to optimize any one of the relevant objectives, such as error rates, computation cost, or expected detection latency.
My past research has involved:
+ Performance measures in stochastic flow networks
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+Text mining
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+Applying artificial intelligence techniques for risk-based design
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+Routing protocols in mobile ad-hoc networks
