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)
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.
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 (typically ~50,000 words) and accessible introductions to mathematical and analytical topics that support decision making in operations research, analytics, and related emerging fields. Books in the series offer a focused primer with illustrative examples or applications that help readers understand how key ideas translate into practice. Each volume is designed for professionals, applied researchers, and students who benefit from conceptual clarity and practical insight without requiring an advanced mathematical background.
The series is open to proposals across the full breadth of operations research and analytics—including mathematical analysis, optimization, modeling, simulation, linear and nonlinear programming, and machine learning—as well as adjacent and emerging areas where quantitative methods support decisions. These include AI-enabled decision systems, human–AI collaboration, explainable and responsible AI, socio-technical risk and security analytics, cyber-physical system modeling, supply chain resilience, public-sector and policy analytics, sustainability and climate-related decision tools, digital transformation and Industry 4.0 applications, and other domains where applied modeling drives impact. Proposals that demonstrate clear practitioner relevance or meaningful applied benefit are especially encouraged.
The goal of this series is to make analytics, OR, and related quantitative tools accessible and actionable for a wide audience. Effective implementation in industry or policy settings requires that decision makers understand what these models do, when to use them, and how to interpret results. While a deep mathematical treatment is not required, an appreciation of each method’s uses, goals, assumptions, and benefits is essential. This series helps bridge that gap by providing approachable overviews, applied illustrations, and practical implementation guidance, including common pitfalls, limitations, and recommended practices.
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, and the concise format offers a manageable path for both academics and practitioners to publish applied, high-impact work. (Updated call, January 2026)
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