Professor, Information Sciences Department
Participant in CENETIX, Cebrowski Institute, MOVES and W2COG
fahayesr <at> nps.edu
Vitae here.
I joined NPS and the Navy after the 9/11 disaster to shift from a lifetime of technology management to a role of individual contributor, mentor, and educator. I have special interest in the “information sharing” problem that the 9/11 Commission highlighted. Based on extensive experience in artificial intelligence, knowledge engineering, distributed systems, semantics, business process management and enterprise application integration, I perceive some important success factors that government efforts at information sharing must have. Equally important, I’m familiar with many failure modes that would likely afflict efforts by government or DoD agencies to solve the sharing problems.
My work at NPS aims to provide technical frameworks, management policies, and useful examples for how to accomplish information sharing for high-value security objectives. In addition to the products I’ve been concentrating on, I try to build networks of other people who have the talent and desire to pursue these objectives. This means I participate in a variety of organizations, committees, and groups that are creating solutions for problems of information sharing, rapid acquisition of IT capabilities, and architecture for information, networks, intelligence, adaptive command-control, and resource-constrained distributed operations.
My principal work focuses on the following related questions:
The most important work products over the last five years represent best available answers to these questions. They are categorized conceptually into eight different bins, based on key technical concept or application domain. The eight bins are:
Model-based Communication Networks (MCNs)
Valued-Information at the Right Time (VIRT)
Rich Semantic Track (RST)
Maritime Information Exchange Model (MIEM)
Cooperative Engagement Capability (CEC)
Comprehensive Maritime Awareness (CMA) Joint Capability
Technology Demonstration (JCTD)
Adaptive, Evolutionary Management of Technology (AEM)
New Directions for Intelligent Systems (AI)