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Karl MacMillan
Karl MacMillan is a Lead Analyst at Tresys Technology. While
working as a researcher and developer he has made important contributions in
the fields of machine learning, evolutionary computing, and computer
security. In the past he has used exemplar learning techniques to address a
variety of pattern recognition tasks including audio analysis and document
recognition. As a staff researcher at the Johns Hopkins University, he was a
principal designer of the Gamera document recognition framework, an
innovative system that used machine learning, genetic algorithms, and
clustering algorithms with advanced object-oriented design to allow the
creation of domain specific document recognition applications by non-expert
computer programmers. His current research is focused on Security Enhanced
Linux. He has developed an innovative automated analysis system for SELinux
policies that uses graph-based representations of type enforcement policies
to allow complex examinations of information flows within SE Linux systems.
Tresys has successfully used this software in their industry leading SE
Linux policy analysis services. Additionally, he leads the SELinux core
infrastructure projects at Tresys, including projects that enhance the basic
SELinux mechanism and explore the application of SELinux to a variety of
security challenges. Mr. MacMillan has a Master's degree from the Johns
Hopkins University. He has numerous published papers and has been recognized
as a leading researcher through awards, speaking invitations, and
participation on conference committees.
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