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Dr. Hodson is currently on the faculty of the School of Business Administration at Marymount University in Arlington, Virginia. There he teaches the information technology and decision sciences courses to students in both the Masters in Business Administration and the Masters in Information Management degree programs and maintains an active consulting practice. Before coming to Marymount, he served on the faculty of the National Defense University in Washington where he chaired the Information Technology Department in the Information Resources Management College, taught senior military officers and their civil service counterparts and consulted for other government organizations. For a number of years while on active duty in the U.S. Air Force, he chaired the Operations Research Division in the Mathematical Sciences Department, teaching mathematics, statistics and operations research. While in industry for more than ten years, he was on the professional staff of R&D Associates as a senior scientist and division manager of their Space and C3 Systems Division. There he led a team of more than twenty scientists and engineers in a wide variety of efforts for the Defense Nuclear Agency, the Air Force Weapons Laboratory and Air Force Space Command.

Dr. Hodson’s principal current interests involve using operations research, statistical, and decision analytic approaches to solve vexing problems of strategic significance in both the public and private sectors. This often involves developing customized computer models using regression analysis and other statistical methods, mathematical programming, neural networks, expert systems, genetic algorithms, system dynamics simulations, process simulations, and multi-attribute decision-making. Some examples of the type of work that he has done include: optimizing the allocation of weapons to targets using linear and integer programming; developing and exercising a system dynamics simulation of the process of storing, testing, and refurbishing nuclear weapons in the U. S. strategic stockpile; using neural networks to forecast commodities futures prices; performing statistical analyses of the persistence of mutual fund performance; developing a capital budgeting optimization model using genetic algorithms that takes into account project interdependencies, and creating a system dynamics simulation of a sensitive manpower problem within the intelligence community. For the past ten years he has regularly worked with individuals at the senior leadership level of their organizations, and holds an active TS/SCI security clearance.

Dr. Hodson holds a Ph.D. in mathematics/industrial engineering from Arizona State University, an M.S. from the University of Colorado, and a B.S. from the U.S. Air Force Academy.

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