Handbook of Military and Defense Operations Research

Co-edited with James P. Howard, II

CRC Press / Taylor and Francis

First edition 2020, second edition 2025

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Table of Contents: first edition, second edition

Operations research (OR) is a core discipline in military and defense management. Coming to the forefront initially during World War II, OR provided critical contributions to managing supply chains, strategic simulation, and enabled superior management for Allied forces. Since these early days, OR has grown to include analytics and many applications, including artificial intelligence, cybersecurity, and big data, and is the cornerstone of management science in manufacturing, advertising, telecommunications, and many other fields. In the Handbook of Military and Defense Operations Research (MDOR), we will present the voices leading OR and analytics to new heights in security through research, practical applications, and lessons learned in the field.


Mathematics in Cyber Research

Co-edited with COL Paul Goethals and COL Daniel Bennett (Ret.)

CRC Press / Taylor and Francis (2022)

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The objective of Mathematics in Cyber Research is to familiarize educators and young researchers with the breadth of mathematics in cyber-related research. Chapters that introduce a mathematical sub-field, describe relevant work in this field associated with the cyber domain, provide methods and tools, as well as detail cyber research case studies are welcomed. Topics of interest may consist of, but are not limited to, metrics, probability models, techniques in data analysis, graph theory, modern algebra, set theory, cryptography, game theory, complex analysis, linear algebra, and visualization methods. Of significant importance is the relationship of these topics to cyber systems, processes, or applications where cybersecurity is of paramount interest.

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CRC Focus Series on Analytics and Operations research

Co-edited with James P. Howard, II

CRC Press / Taylor and Francis

This series aims to provide concise and accessible introductions to mathematical topics in analytics and operations research. Books in the series are designed to offer a primer on a topic rooted in an illustrative case study or example and an indication of how the ideas discussed might be usefully applied by the reader. These books are intended to appeal to a mixture of professionals, practitioners, and students and will require only a relatively basic or fundamental level of mathematical background.

The series is open to proposals on a wide range of topics and applications associated with operations research and analytics, including mathematical analysis, optimization, mathematical modeling, linear and nonlinear programming, machine learning, and more.

Please note the goal of this series is to help make analytics and operations research (OR) accessible to a wide audience. For OR and analytics models to be implemented in industry and used to inform policy, decision makers and leaders need to understand how they work. There is not a necessarily a requirement for this target audience to have a full, detailed understanding of the mathematics that underpin these models, but an appreciation of the uses, goals, and benefits of such models is important. This series aims to bridge that gap by providing overviews and primers, case studies, and implementation guidance (do’s and don’ts) for various operations research and analytics tools and techniques.

Interested authors may submit an initial proposal. Proposals that receive initial approval from the Series Editors are then referred to CRC Press for full review. Authors in this series earn royalties based on sales.

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