Johnathan Mun

About

Business Faculty

Bio

Dr. Johnathan Mun is Professor and Chair of the Business Department with over 27 years of industry experience. He has consulted for more than 100 multinational corporations, holds 13 registered U.S. patents, and has authored 32 books, published over 150 articles and technical reports, developed 10 software applications, traveled to over 50 countries, and founded 3 companies. His books and software are used by more than 50 universities worldwide.

As a consultant, professor, and global educator, Dr. Mun has taught in over a dozen countries and regions, including the United States, China, Colombia, Germany, Hong Kong, Malaysia, Mexico, Peru, Singapore, Switzerland, and the United Kingdom. In the U.S., he has previously taught at the Naval Postgraduate University, Golden Gate University, San Jose State University, San Francisco State University, Santa Clara University, St. Mary’s College, and others.

His consulting experience includes engagements with organizations such as PricewaterhouseCoopers, KPMG Consulting, 3M, Airbus, Boeing, FedEx, Northrop Grumman, Syngenta, Cubic Defense, the State of California, the U.S. Department of Defense, the U.S. Marine Corps, the U.S. Navy, and the central banks of Colombia and Venezuela, among many others.

Dr. Mun’s research interests span financial analytics, quantitative methods, data science, decision analytics, economics, econometrics, investment science, simulation, predictive modeling, artificial intelligence and machine learning analytics, and optimization.

Degrees and Certifications:

  • Ph.D., Finance & Economics
    Lehigh University
  • M.B.A., Business Administration
    Nova Southeastern University
  • M.S., Operations Research & Management Science
    LaSalle University
  • B.S., Biophysics
    University of Miami
  • C.Q.R.M., Certified in Quantitative Risk Management
  • F.R.M., Certified in Financial Risk Management
  • C.R.A., Certified Risk Analyst
  • C.F.C., Certified in Financial Consulting
  • Certification Courses at Harvard University (Business Analytics, Managerial Economics, Financial Accounting) and Stanford University (Advanced Options Theory)

Courses Taught:

  • BAN460 Introduction to Business Analytics
  • BAN501 Business Analytics
  • BAN524 Intermediate Business Analytics
  • BAN589 Certified Quantitative Risk Management
  • BUS587 Independent Research
  • CPT401-502 Curricular Practical Training
  • FIN501 Financial Management
  • FIN588 Advanced Financial Economics and Econometrics
  • MGT460 Operations and Production Management
  • Other courses previously taught: Biostatistics; Econometrics; Forecasting and Predictive Modeling; Macroeconomics; Microeconomics; Managerial Finance; Managerial Economics; Simulation and Modeling; Statistics and Probability; Stochastic Analytics; and Quantitative Research Methods.

Publications:

Books

  1. Economic Evaluation of Capital Investments and Information Technology (Work in Progress)
  2. Databases, Data Science, and Data Analytics Fundamentals: Course Slides: Basic SQL, IBM Cloud DB2, Microsoft Access, Microsoft Excel, Python, QDM SQL, Risk Simulator, ROV BizStats, 250 Pages, ISBN: 978-1734497380, ROV Press (2021)
  3. Quantitative Research Methods: Applying Econometrics, Multivariate Regression, Parametric and Nonparametric Hypothesis Testing, Monte Carlo Risk Simulation, Predictive Modeling and Forecasting, Optimization, Data Analytics, Business Intelligence, and Decision Modeling, 803 Pages, ISBN: 978-17344-97335, ROV Press (2021)
  4. Course Slides for Quantitative Research Methods, 388 Pages, ISBN: 978-1734497342, ROV Press (2021)
  5. Applied Analytical - Oil and Gas Decommissioning Risk Management: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting and Decision Analytics (Applied Project Management Series), 266 Pages, ISBN: 978-1734481174, IIPER Press (2020)
  6. Applied Analytics – Project Economic and Financial Evaluation, 150 Pages, ISBN: 978-17344-81129, IIPER Press (2020)
  7. Applied Analytics – Enterprise Risk Management, 155 Pages, ISBN: 978-17344-81136, IIPER Press (2020)
  8. Applied Analytics – Credit, Market, Operational and Liquidity Risk, 210 Pages, ISBN: 978-17344-81143, IIPER Press (2020)
  9. Applied Analytics – Project Management, 142 Pages, ISBN: 978-17344-81150, IIPER Press (2020)
  10. Applied Analytics – Quantitative Research Methods with ROV BizStats, 200 Pages, ISBN: 978-17344-81105, IIPER Press (2020)
  11. Applied Analytics – Probability Distributions, 155 Pages, ISBN: 978-17344-81112, IIPER Press (2020)
  12. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions with Integrated Risk Management and Advanced Quantitative Decision Analytics, 3rd Edition, 680 Pages, ISBN: 978-17344-97359, ROV Press (2016)
  13. Advanced Analytical Models in ROV Modeling Toolkit: Over 800 Models and 300 Applications from the Basel Accords to Wall Street and Beyond, 760 Pages, ISBN: 978-17344-97304, ROV Press (2016)
  14. Modeling Risk: Applying Monte Carlo Risk Simulation, Strategic Real Options Analysis, Stochastic Forecasting, and Portfolio Optimization, 3rd Edition, 1112 Pages, ISBN: 978-0470592212, Thomson–Shore (2015)
  15. Risk Simulator Guide, 216 Pages, ISBN: 978-1515273639, ROV Press (2015)
  16. PEAT: Project Economics Analysis Tool, 348 Pages, ISBN: 978-1515273530, ROV Press (2015)
  17. Real Options SLS Guide, 152 Pages, ISBN: 978-1515273677, ROV Press (2015)
  18. CQRM Training, 250 Pages, ISBN: Restricted, ROV Press (2015)
  19. Certified Quantitative Risk Management (CQRM): Readings, 736 Pages, ISBN: 978-17344-97311, IIPER Press (2015)
  20. Certified Quantitative Risk Management (CQRM): Case Studies, 352 Pages, ISBN: 978-17344-97328, IIPER Press (2015)
  21. Credit Engineering for Bankers, (with Morton Glantz), 529 Pages, ISBN: 978-0123785855, Elsevier Academic Press (2010)
  22. The Banker’s Handbook on Credit Risk, (with Morton Glantz), 420 Pages, ISBN: 978-0123736666, Elsevier Science (2008)
  23. Advanced Analytical Models: Over 800 Models and 300 Applications from Basel II Accords to Wall Street and Beyond, 1002 Pages, ISBN: 978-0470179215, Wiley Finance (2008)
  24. Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Stochastic Forecasting, and Optimization, 2nd Edition, 1112 Pages, ISBN: 978-1943290000, Wiley Finance (2006)
  25. Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Stochastic Forecasting, and Optimization, 610 Pages, ISBN: 0-471-78900-3, Wiley Finance (2005)
  26. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions, 2nd Edition, 670 Pages, ISBN: 978-0471747483, Wiley Finance (2005)
  27. Valuing Employee Stock Options: Under 2004 FAS 123, 320 Pages, ISBN: 0-471-70512-8, Wiley Finance (2004)
  28. Applied Risk Analysis: Moving Beyond Uncertainty, 460 Pages, ISBN: 0-471-47885-7, Wiley Finance (2003)
  29. Real Options Analysis Course: Business Cases and Software Applications, 360 Pages, ISBN: 0-471-43001-3, Wiley Finance (2003)
  30. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions, 416 Pages, ISBN: 0-471-25696-X, Wiley Finance (2002)
  31. Managing Your Finances God’s Way, 128 Pages, ISBN: 978-1-515-21236-2, EBF Press (2003)
  32. Multiple translations of selected books into Chinese, Japanese, Korean, Spanish, and Portuguese

Registered and Approved Patents

  1. “Financial Options System and Method” — Type: Non-Provisional. U.S. Patent No.: 8,392,313 B2 (Mar 5, 2013)
  2. “Autoeconometrics Modeling Method” — Type: Non-Provisional, U.S. Patent No.: 8,606,550 B2 (Dec 10, 2013)
  3. “Evaluation Compiler Method” — Type: Non-Provisional, U.S. Patent No.: 8,713,543 (Apr 29, 2014)
  4. “Project Economics Analysis Tool (PEAT)” — Type: Non-Provisional, U.S. Patent No.: 8,892,409 B2 (Nov 18, 2014)
  5. “Integrated Risk Management Process” — Type: Non-Provisional, U.S. Patent No.: 9,020,857 (Apr 28, 2015)
  6. “Advertising Method and Apparatus in a Communications System” — USPTO Patent Filing Number: 13/933,644; U.S. Patent No.: 9,118,429 (Aug 25, 2015)
  7. “Compiled and Executable Method” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,389,840 (July 12, 2016)
  8. “Interactive Content Delivery System and Apparatus with Global Reach Capability” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,438,361 (Sept 6, 2016)
  9. “Autoeconometrics Modeling Method” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,547,477 B2 (Jan 17, 2017)
  10. “Qualitative and Quantitative Modeling of Enterprise Risk Management and Risk Registers” — Type: Non-Provisional, U.S. Patent No.: 9,811,794 (Nov 7, 2017)
  11. “Project Economics Analysis Tool (PEAT)” (Continuation) — Type: Non-Provisional, U.S. Patent No.: 9,881,339 (Jan 2018)
  12. “System for Modeling and Quantifying Regulatory Capital, Key Risk Indicators, Probability of Default, Exposure at Default, Loss Given Default, Liquidity Ratios, and Value at Risk, within the Areas of Asset Liability Management, Credit Risk, Market Risk, Operational Risk, and Liquidity Risk for Banks” — Type: Non-Provisional, U.S. Patent No.: 10,453,142 B2 (Oct 22, 2019)
  13. Private Patent (undisclosed)

Chapters in Books

  1. “Comparing the Methodology for the Development and Project Management of Artificial Intelligence Systems,” Work in Progress (2021).
  2. “Slovenian Corporate Risk Monitor 2021,” Work in Progress (2021).
  3. “A Combined Lexicographic Average Rank Approach for Evaluating Uncertain Multi-Indicator Matrices with Risk Metrics,” in Partial Order Concepts in Applied Sciences, Springer International Publishing (2017).
  4. “A New Theory of Value: The New Invisible Hand of Altruism,” Chapter 2 in Intellectual Capital in Organizations, Routledge (2015).
  5. “A Risk-Based Approach to Cost-Benefit Analysis: Monte Carlo Risk Simulation, Strategic Real Options Analysis, Knowledge Value Added, and Portfolio Optimization,” Chapter 11 in Military Cost-Benefit Analysis: Theory & Practice, Taylor & Francis (2015).
  6. “Visualization of Big Data: Current Trends,” in Industrial Innovation, Handbook of Measurements, CRC Press (2015).
  7. “Visualization of Big Data: Ship Maintenance Metrics Analysis,” in Industrial Innovation, Handbook of Measurements, CRC Press (2015).
  8. “A Primer on Quantitative Risk Analysis,” in Multi-Asset Risk Modeling, Academic Press (2013).
  9. “Extreme Value Theory and Application to Market Shocks for Stress Testing and Extreme Value at Risk,” in Multi-asset Risk Modeling, Academic Press (2013).
  10. “Real Options in Practice,” Chapter 2 in Real Options in Engineering Design, Operations, and Management, CRC Press (2012).
  11. “Hands-on Applications of Real Options SLS,” Chapter 15 in Real Options in Engineering Design, Operations, and Management, CRC Press (2012).
  12. “Capturing the Strategic Flexibility of Investment Decisions through Real Options Analysis,” Article #5 in The Strategic CFO, Springer (2011).
  13. “Monte Carlo Risk Simulation,” Chapter 17 in Quantitative Business Valuation, Wiley (2010).
  14. “Real Options,” Chapter 18 in Quantitative Business Valuation, Wiley (2010).
  15. “Applying KVA Analysis, Risk Simulation and Strategic Real Options: The Shipyard Case,” in Organisational Capital, Routledge (2008).
  16. “Real Options and Monte Carlo Simulation versus Traditional DCF Valuation in Layman’s Terms,” Chapter 6 in Managing Enterprise Risk, Elsevier (2006).
  17. “Strategic Real Options Valuation,” Chapter 7 in Deal Making Using Real Options and Monte Carlo Analysis, Wiley (2003).
  18. “Managing Bank Risk,” in Bank Risk, Academic Press (2003).

Selected Academic Journals & Research Publications

For a complete list, please visit:

Google Scholar: https://scholar.google.com/citationshl=en&user=RdhYvvcAAAAJ 

Research Net: https://www.researchgate.net/profile/Johnathan_Mun/research

  1. “Improving Cybersecurity by Addressing Cognitive Biases: Beware the Allure of AI,” work in progress 2026 .
  2. “Theoretical Foundations for Knowledge Value Added (KVA): Mathematical Proofs from Information Theory, Econometrics, Economic Theory, and Financial Theory,” work in progress, 2026.
  3. “The Value of Less-Lethal Weapons,” Journal of Economic Analysis (2024), 3(3) 1-17. .
  4. “Artificial Intelligence and Machine Learning Applications to Navy Ships: Cybersecurity and Risk Management,” Naval Engineers Journal, March 2023, No. 135-1. .
  5. “Optimizing The Warfighter’s Intellectual Capability: Identifying Value Propositions and Modeling Return on Investment of Military Education and Research,” Defense Acquisitions Research Journal, July 2022, Vol. 29, No. 3.
  6. “Monte Carlo Simulation with Mathematical Convolution of Frequency and Severity Distributions in Operational Risk Capital Model in the Basel Accords,” Journal of Advances in Mathematics and Computer Science. 37(1): 8–21, March 2022; Article no. JAMCS 84000.
  7. “Merging Future Knowledgebase System of Systems with Artificial Intelligence/Machine Learning Engines to Maximize Reliability and Availability for Decision Support,” Journal of Military Operations Research, No. 26-N2 (2021). doi.org/10.5711/1082598326477. .
  8. “Risk-Based Modeling of Lifecycle and Total Ownership Cost,” Naval Engineers Journal, ASNE, No. 133-4, December 2021. .
  9. “Optimizing the Warfighter’s Intellectual Capacity: ROI and the Value Proposition of Military Education and Research,” Center for International Maritime Security (CIMSEC), September 2021.
  10. “Technology Trust: System Information Impact on Autonomous Systems Adoption in High-Risk Applications,” Defense Acquisitions Research Journal, Vol. 28, No.1 (January 2021).
  11. “Flexible Ships,” Naval Engineers Journal, December 2021, No. 133-1.
  12. “Acquiring Artificial Intelligence Systems: Development Challenges, Implementation Risks, and Cost/Benefits Opportunities,” Naval Engineers Journal, ASNE, No. 132-2, June 2020. .
  13. “The Lightly Manned Autonomous Combat Capability (LMACC),” Naval Engineers Journal, ASNE, No. 132-2, June 2020. .
  14. “Economic Impact of the Health Sector on the Regional Level: The Case of a Small, Open Economy,” accepted at the Applied Health Economics and Health Policy, Springer, 2021 .
  15. “Assessing Manufacturing Flow Lines Under Uncertainties in Processing Time: An Application Based on Max Plus Equations, Multicriteria Decisions, and Global Sensitivity Analysis,” International Journal of Production Economics, No. 234 (2021) .
  16. “Application of Logic Regression to Assess the Importance of Interactions Between Components in a Network,” Journal of Reliability Engineering and System Safety, September 2020 .
  17. “Why Do Some Merger and Acquisitions Deals Fail? A Global Perspective,” International Journal of Finance and Economics (June 2020) .
  18. “Introduction to Formal Concept Analysis and Its Applications in Reliability Engineering,” Journal of Reliability Engineering and System Safety, April 2020 .
  19. “Capital Budgeting and Portfolio Optimization in the U.S. Navy and Department of Defense,” Defense Acquisition Research Journal, Vol. 27, No. 1, 60–107 (January 2020).
  20. “Financial Cycles: A Monetary Policy Indicator,” The Journal for Money and Banking, Vol. 68, No. 11 (2019).
  21. “Empirical Cost Estimation of U.S. Navy Ships,” Universal Journal of Management, Vol. 7, No. 5 (2019).
  22. “Deep Learning for Stock Market Trading: A Superior Trading Strategy?” Neural Network World (May 2019) .
  23. “Active Management in State-Owned Energy Companies: A Real Options Approach into Multicriteria Analysis to Make Companies Sustainable,” Applied Energy, Vol. 195, 487–502 (June 2017) .
  24. “Applying Fuzzy Inference Systems, ASKE, Knowledge Value Added, and Monte Carlo Risk Simulation to Value Intangible Human Capital Investments,” AIP (American Institute of Physics) Conference Proceedings (April 2013) .
  25. “Human Capital Valuation and Return on Investment on Corporate Education,” Expert Systems with Applications, Vol. 39, No. 15, 11934–11943 (November 2012) .
  26. “Integrated Risk Management: A Layman’s Primer” (in Russian), Journal of Economic Strategies, No. 6-7, 48–62 (2012).
  27. “Application of Real Options Theory to DoD Software Acquisitions,” Defense Acquisition Research Journal, Vol. 18, No. 1, 81–106 (January 2011) .
  28. “Valuing Flexibility,” Systems Engineering Research (2010).
  29. “Applying KVA Analysis, Risk Simulation and Strategic Real Options: The Shipyard Case,” Organisational Capital: Modelling, Measuring and Contextualising (2008).
  30. “Return on Investment in Non-Revenue Generating Activities: Applying KVA and Real Options to Government Operations,” Review of Business Research, Vol. 7, Issue 1 (January 2007) .
  31. “Real Options Analysis: Implementation for Financial Planners,” Financial Planning Journal (2003).
  32. “A Stepwise Example of Real Options Analysis of a Production Enhancement Project” (SPE-78329-MS), 13th European Petroleum Conference, Aberdeen, Scotland, Society of Petroleum Engineers (SPE) (October 2002) .
  33. “The Real Options Solution,” Financial Engineering News (2002).
  34. “Using Real Options Software to Value Complex Options,” Financial Engineering News, Vol. 27, 1–7 (September 2002).
  35. “The Contrarian Investment Strategy: Additional Evidence,” Applied Financial Economics, Vol. 11, No. 6, 619–640 (December 2001) .
  36. “Time-Varying Nonparametric Capital Asset Pricing Model: New Bootstrapping Evidence.” Journal of Applied Financial Economics (2000).
  37. “The Contrarian/Overreaction Hypothesis: An Analysis of the U.S. and Canadian Stock Markets,” Global Finance Journal, Vol. 11, No. 1–2, 53–72 (2000) .
  38. “Tests of the Contrarian Investment Strategy: Evidence from the French and German Stock Markets,” International Review of Financial Analysis, Vol. 8, No. 3, 215–234 (March 1999) .
  39. “The Dividend-Price Puzzle: A Nonparametric Approach,” Advances in Quantitative Accounting and Finance, Vol. 7, 53–66 (1998) .

Refereed Proceedings, Symposia Articles & Technical Reports

  1. “Modeling Future Demands for Child Development Center (CDC) Funding,” Naval Research Program 2024 (forthcoming).
  2. “Improved Methods of Combat Identification,” Naval Research Program (2023). .
  3. “Game Theory and the Navy Budget,” Naval Research Program (2023). .
  4. “Industrial Assessment Directorate: Impact of the Navy’s 30-Year Shipbuilding Plan on US Industrial Base,” Acquisition Research Program (2023). .
  5. “Next Generation Logistics Ship (NGLS) Automation and Uncrewed Underway Replenishment (UNREP),” Acquisition Research Program (2023). .
  6. “Cyber Technologies, Machine Learning, Additive Manufacturing, and Cloud in the Box to Enable Optimized Maintenance Processes in Extreme Conditions,” HCI Conference Proceedings 2023. .
  7. “Management and Business Knowledge Representation for Decision Making: Applying Artificial Intelligence, Machine Learning, Data Science, and Advanced Quantitative Decision Analytics for Making Better-Informed Decisions,” Acquisition Innovation Research Center (2022).
  8. “Framework for Estimating Engineering Prototyping Uncertainty,” Acquisitions Research Program (2022).
  9. “Cybersecurity, Artificial Intelligence, and Risk Management: Understanding Their Implementation in Military Systems Acquisitions,” Acquisition Research Program (2021).
  10. “Risk-Based Modeling of Lifecycle and Total Ownership Cost,” Acquisition Research Program (2021).
  11. “Acquiring Artificial Intelligence Systems: Development Challenges, Implementation Risks, and Cost/Benefits Opportunities,” Proceedings of the Seventeenth Annual Acquisition Research Symposium, May 2020. .
  12. “The Lightly Manned Autonomous Combat Capability (LMACC),” Proceedings of the Seventeenth Annual Acquisition Research Symposium, May 2020. .
  13. “Technology Trust: The Impact of Trust Metrics on the Adoption of Autonomous Systems Used in High-risk Applications,” U.S. Naval Research Program and Acquisitions Research (October 2019). .
  14. “Modeling and Analysis of Lifecycle and Total Ownership Cost,” U.S. Naval Research Program and Acquisitions Research (October 2019).
  15. “A Comparative Analysis of Advanced Methodologies to Improve the Acquisition of Information Technology in the Department of Defense for Optimal Risk Mitigation and Decision Support Systems to Avoid Cost and Schedule Overruns,” U.S. Naval Research Program and Acquisitions Research (October 2019). .
  16. “Capital Budgeting and Portfolio Optimization in the U.S. Navy and Department of Defense,” U.S. Naval Research Program and Acquisitions Research (October 2018).
  17. “Flexible Ship Options,” U.S. Naval Research Program and Acquisitions Research (October 2018).
  18. “The Growth of the Navy Contracting Workforce and Its Impact on Levels of Contracting Activity,” U.S. Naval Research Program and Acquisitions Research (October 2018). .
  19. “Total Ownership with Lifecycle Cost Model Under Uncertainty: Model Manual and Instructions (Electro-Optical Infrared Sensors),” U.S. Naval Research Program and Acquisitions Research (May 2018).
  20. “Business Case Valuation of Strategic Flexibility in Shipbuilding: Justifying and Assessing the Value of Flexible Ships Design Features in New Navy Ship Concepts,” U.S. Naval Research Program and Acquisitions Research (November 2017). .
  21. “Portfolio Optimization of Flexible Ship Options,” U.S. Naval Research Program and Acquisitions Research (November 2017).
  22. “Shrinking the Mountain of Metal: The Potential of Three Advanced Technologies,” U.S. Naval Research Program and Acquisitions Research (June 2017). .
  23. “Flexible and Adaptable Ship Options: Assessing the Future Value of Incorporating Flexible Ship Design Features into New Navy Ship Concepts,” Acquisitions Research (U.S. Department of Defense) (November 2016). .
  24. “Assessing the Manning Options’ Impacts on Effectiveness and Efficiency of Technology Security and Foreign Disclosure Processes,” Acquisitions Research (U.S. Department of Defense) (October 2016).
  25. “Empirical Cost Estimation Tool,” Acquisitions Research (U.S. Department of Defense) (October 2016).
  26. “Benchmarking Naval Shipbuilding with 3D Laser Scanning, Additive Manufacturing, and Collaborative Product Lifecycle Management,” Acquisitions Research (U.S. Department of Defense) (October 2016). .
  27. “The Importance of Weather in Military Applications: WeatherNow ROI Analysis,” Naval Postgraduate School (April 2016). .
  28. “Make or Buy: An Analysis of the Impacts of 3D Printing Operations, 3D Laser Scanning Technology, and Collaborative Product Lifecycle Management on Ship Maintenance and Modernization Cost Savings,” Acquisitions Research (U.S. Department of Defense) (February 2015). .
  29. “Visualization of Big Data Through Ship Maintenance Metrics Analysis for Fleet Maintenance and Revitalization,” Acquisitions Research (U.S. Department of Defense) (February 2014). .
  30. “Advanced Quantitative Forecasting and Analytics on Foreign Military Sales, Defense Security Cooperation Agency (DSCA)” (February 2014).
  31. “Applying Fuzzy Inference Systems, ASKE, Knowledge Value Added, and Monte Carlo Risk Simulation to Value Intangible Human Capital Investments,” AIP (American Institute of Physics) Conference Proceedings (April 2013). .
  32. “Naval Ship Maintenance: An Analysis of Dutch Shipbuilding Industry Using the Knowledge Value Added, Systems Dynamics, and Integrated Risk Management Methodologies,” Acquisitions Research (U.S. Department of Defense) (October 2012). .
  33. “Ship Maintenance Processes with Collaborative Product Lifecycle Management and 3D Terrestrial Laser Scanning Tools: Reducing Costs and Increasing Productivity,” Proceedings, Eighth Annual Acquisition Research Symposium, Wednesday Sessions, Volume 1 (U.S. Department of Defense) (September 2011). .
  34. “Advanced Capability Builds for Aegis: Stochastic Portfolio Optimization (Selection and Prioritization), Risk Simulation, KVA, and Strategic Real Options,” Acquisitions Symposium (U.S. Department of Defense) 2010.
  35. “A Primer on Applying Monte Carlo Simulation, Real Options Analysis, Knowledge Value Added, Forecasting, and Portfolio Optimization,” Naval Postgraduate School, Monterey, California (February 2010). .
  36. “PEO-IWS ACB Insertion Portfolio Optimization,” Proceedings, Seventh Annual Acquisition Research Symposium, Thursday Sessions, Volume 2 (April 2010). .
  37. “Using Knowledge Value Analysis and Real Options Analysis to Improve DoD Acquisition Planning and Management,” Naval Postgraduate School, Monterey, California, 2010.
  38. “Advanced Capability Builds: Portfolio Optimization, Selection and Prioritization, Risk Simulation, KVA, and Strategic Real Options Analysis,” Acquisitions Research (U.S. Department of Defense) (September 2009). .
  39. “Application of Real Options Theory to Software Engineering for Strategic Decision Making in Software Related Capital Investments in the U.S. Department of Defense,” Acquisitions Research (U.S. Department of Defense) (February 2009). .
  40. “Ship Maintenance and Project Lifecycle Management,” Acquisitions Symposium (U.S. Department of Defense) 2008.
  41. “A Primer on Integrated Risk Management for the Military,” Acquisitions Symposium (U.S. Department of Defense) 2007.
  42. “AEGIS Platforms: The Potential Impact of Open Architecture in Sustaining Engineering,” Acquisitions Research (U.S. Department of Defense) (October 2007). .
  43. “AEGIS and Ship Self-Defense System Platforms: Using KVA Analysis, Risk Simulation and Strategic Real Options to Assess Operational Effectiveness,” Acquisitions Research (U.S. Department of Defense) (September 2006). .
  44. “A Methodology for Improving the Shipyard Planning Process: Using KVA Analysis, Risk Simulation and Strategic Real Options,” Acquisitions Research (U.S. Department of Defense) (September 2006). .
  45. “Integrated Portfolio Analysis: Return on Investment and Real Options Analysis of Intelligence Information Systems (Cryptologic Carry-on Program),” Naval Postgraduate School (September 2006). .
  46. “Reducing Maintenance Program Costs with Improved Engineering Design Processes Using KVA Analysis, Risk Simulation, and Strategic Real Options,” Acquisitions Research (U.S. Department of Defense) 2005.
  47. “Using KVA and Real Options for IT Acquisition: Case Example,” Naval Postgraduate School, Monterey, California, 2005.

Bio

Dr. Johnathan Mun is Professor and Chair of the Business Department with over 27 years of industry experience. He has consulted for more than 100 multinational corporations, holds 13 registered U.S. patents, and has authored 32 books, published over 150 articles and technical reports, developed 10 software applications, traveled to over 50 countries, and founded 3 companies. His books and software are used by more than 50 universities worldwide.

As a consultant, professor, and global educator, Dr. Mun has taught in over a dozen countries and regions, including the United States, China, Colombia, Germany, Hong Kong, Malaysia, Mexico, Peru, Singapore, Switzerland, and the United Kingdom. In the U.S., he has previously taught at the Naval Postgraduate University, Golden Gate University, San Jose State University, San Francisco State University, Santa Clara University, St. Mary’s College, and others.

His consulting experience includes engagements with organizations such as PricewaterhouseCoopers, KPMG Consulting, 3M, Airbus, Boeing, FedEx, Northrop Grumman, Syngenta, Cubic Defense, the State of California, the U.S. Department of Defense, the U.S. Marine Corps, the U.S. Navy, and the central banks of Colombia and Venezuela, among many others.

Dr. Mun’s research interests span financial analytics, quantitative methods, data science, decision analytics, economics, econometrics, investment science, simulation, predictive modeling, artificial intelligence and machine learning analytics, and optimization.

Degrees and Certifications:

  • Ph.D., Finance & Economics
    Lehigh University
  • M.B.A., Business Administration
    Nova Southeastern University
  • M.S., Operations Research & Management Science
    LaSalle University
  • B.S., Biophysics
    University of Miami
  • C.Q.R.M., Certified in Quantitative Risk Management
  • F.R.M., Certified in Financial Risk Management
  • C.R.A., Certified Risk Analyst
  • C.F.C., Certified in Financial Consulting
  • Certification Courses at Harvard University (Business Analytics, Managerial Economics, Financial Accounting) and Stanford University (Advanced Options Theory)

Courses Taught:

  • BAN460 Introduction to Business Analytics
  • BAN501 Business Analytics
  • BAN524 Intermediate Business Analytics
  • BAN589 Certified Quantitative Risk Management
  • BUS587 Independent Research
  • CPT401-502 Curricular Practical Training
  • FIN501 Financial Management
  • FIN588 Advanced Financial Economics and Econometrics
  • MGT460 Operations and Production Management
  • Other courses previously taught: Biostatistics; Econometrics; Forecasting and Predictive Modeling; Macroeconomics; Microeconomics; Managerial Finance; Managerial Economics; Simulation and Modeling; Statistics and Probability; Stochastic Analytics; and Quantitative Research Methods.

Publications:

Books

  1. Economic Evaluation of Capital Investments and Information Technology (Work in Progress)
  2. Databases, Data Science, and Data Analytics Fundamentals: Course Slides: Basic SQL, IBM Cloud DB2, Microsoft Access, Microsoft Excel, Python, QDM SQL, Risk Simulator, ROV BizStats, 250 Pages, ISBN: 978-1734497380, ROV Press (2021)
  3. Quantitative Research Methods: Applying Econometrics, Multivariate Regression, Parametric and Nonparametric Hypothesis Testing, Monte Carlo Risk Simulation, Predictive Modeling and Forecasting, Optimization, Data Analytics, Business Intelligence, and Decision Modeling, 803 Pages, ISBN: 978-17344-97335, ROV Press (2021)
  4. Course Slides for Quantitative Research Methods, 388 Pages, ISBN: 978-1734497342, ROV Press (2021)
  5. Applied Analytical - Oil and Gas Decommissioning Risk Management: Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic Forecasting and Decision Analytics (Applied Project Management Series), 266 Pages, ISBN: 978-1734481174, IIPER Press (2020)
  6. Applied Analytics – Project Economic and Financial Evaluation, 150 Pages, ISBN: 978-17344-81129, IIPER Press (2020)
  7. Applied Analytics – Enterprise Risk Management, 155 Pages, ISBN: 978-17344-81136, IIPER Press (2020)
  8. Applied Analytics – Credit, Market, Operational and Liquidity Risk, 210 Pages, ISBN: 978-17344-81143, IIPER Press (2020)
  9. Applied Analytics – Project Management, 142 Pages, ISBN: 978-17344-81150, IIPER Press (2020)
  10. Applied Analytics – Quantitative Research Methods with ROV BizStats, 200 Pages, ISBN: 978-17344-81105, IIPER Press (2020)
  11. Applied Analytics – Probability Distributions, 155 Pages, ISBN: 978-17344-81112, IIPER Press (2020)
  12. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions with Integrated Risk Management and Advanced Quantitative Decision Analytics, 3rd Edition, 680 Pages, ISBN: 978-17344-97359, ROV Press (2016)
  13. Advanced Analytical Models in ROV Modeling Toolkit: Over 800 Models and 300 Applications from the Basel Accords to Wall Street and Beyond, 760 Pages, ISBN: 978-17344-97304, ROV Press (2016)
  14. Modeling Risk: Applying Monte Carlo Risk Simulation, Strategic Real Options Analysis, Stochastic Forecasting, and Portfolio Optimization, 3rd Edition, 1112 Pages, ISBN: 978-0470592212, Thomson–Shore (2015)
  15. Risk Simulator Guide, 216 Pages, ISBN: 978-1515273639, ROV Press (2015)
  16. PEAT: Project Economics Analysis Tool, 348 Pages, ISBN: 978-1515273530, ROV Press (2015)
  17. Real Options SLS Guide, 152 Pages, ISBN: 978-1515273677, ROV Press (2015)
  18. CQRM Training, 250 Pages, ISBN: Restricted, ROV Press (2015)
  19. Certified Quantitative Risk Management (CQRM): Readings, 736 Pages, ISBN: 978-17344-97311, IIPER Press (2015)
  20. Certified Quantitative Risk Management (CQRM): Case Studies, 352 Pages, ISBN: 978-17344-97328, IIPER Press (2015)
  21. Credit Engineering for Bankers, (with Morton Glantz), 529 Pages, ISBN: 978-0123785855, Elsevier Academic Press (2010)
  22. The Banker’s Handbook on Credit Risk, (with Morton Glantz), 420 Pages, ISBN: 978-0123736666, Elsevier Science (2008)
  23. Advanced Analytical Models: Over 800 Models and 300 Applications from Basel II Accords to Wall Street and Beyond, 1002 Pages, ISBN: 978-0470179215, Wiley Finance (2008)
  24. Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Stochastic Forecasting, and Optimization, 2nd Edition, 1112 Pages, ISBN: 978-1943290000, Wiley Finance (2006)
  25. Modeling Risk: Applying Monte Carlo Simulation, Real Options Analysis, Stochastic Forecasting, and Optimization, 610 Pages, ISBN: 0-471-78900-3, Wiley Finance (2005)
  26. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions, 2nd Edition, 670 Pages, ISBN: 978-0471747483, Wiley Finance (2005)
  27. Valuing Employee Stock Options: Under 2004 FAS 123, 320 Pages, ISBN: 0-471-70512-8, Wiley Finance (2004)
  28. Applied Risk Analysis: Moving Beyond Uncertainty, 460 Pages, ISBN: 0-471-47885-7, Wiley Finance (2003)
  29. Real Options Analysis Course: Business Cases and Software Applications, 360 Pages, ISBN: 0-471-43001-3, Wiley Finance (2003)
  30. Real Options Analysis: Tools and Techniques for Valuing Strategic Investments and Decisions, 416 Pages, ISBN: 0-471-25696-X, Wiley Finance (2002)
  31. Managing Your Finances God’s Way, 128 Pages, ISBN: 978-1-515-21236-2, EBF Press (2003)
  32. Multiple translations of selected books into Chinese, Japanese, Korean, Spanish, and Portuguese

Registered and Approved Patents

  1. “Financial Options System and Method” — Type: Non-Provisional. U.S. Patent No.: 8,392,313 B2 (Mar 5, 2013)
  2. “Autoeconometrics Modeling Method” — Type: Non-Provisional, U.S. Patent No.: 8,606,550 B2 (Dec 10, 2013)
  3. “Evaluation Compiler Method” — Type: Non-Provisional, U.S. Patent No.: 8,713,543 (Apr 29, 2014)
  4. “Project Economics Analysis Tool (PEAT)” — Type: Non-Provisional, U.S. Patent No.: 8,892,409 B2 (Nov 18, 2014)
  5. “Integrated Risk Management Process” — Type: Non-Provisional, U.S. Patent No.: 9,020,857 (Apr 28, 2015)
  6. “Advertising Method and Apparatus in a Communications System” — USPTO Patent Filing Number: 13/933,644; U.S. Patent No.: 9,118,429 (Aug 25, 2015)
  7. “Compiled and Executable Method” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,389,840 (July 12, 2016)
  8. “Interactive Content Delivery System and Apparatus with Global Reach Capability” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,438,361 (Sept 6, 2016)
  9. “Autoeconometrics Modeling Method” — Type: Non-Provisional & Continuation, U.S. Patent No.: 9,547,477 B2 (Jan 17, 2017)
  10. “Qualitative and Quantitative Modeling of Enterprise Risk Management and Risk Registers” — Type: Non-Provisional, U.S. Patent No.: 9,811,794 (Nov 7, 2017)
  11. “Project Economics Analysis Tool (PEAT)” (Continuation) — Type: Non-Provisional, U.S. Patent No.: 9,881,339 (Jan 2018)
  12. “System for Modeling and Quantifying Regulatory Capital, Key Risk Indicators, Probability of Default, Exposure at Default, Loss Given Default, Liquidity Ratios, and Value at Risk, within the Areas of Asset Liability Management, Credit Risk, Market Risk, Operational Risk, and Liquidity Risk for Banks” — Type: Non-Provisional, U.S. Patent No.: 10,453,142 B2 (Oct 22, 2019)
  13. Private Patent (undisclosed)

Chapters in Books

  1. “Comparing the Methodology for the Development and Project Management of Artificial Intelligence Systems,” Work in Progress (2021).
  2. “Slovenian Corporate Risk Monitor 2021,” Work in Progress (2021).
  3. “A Combined Lexicographic Average Rank Approach for Evaluating Uncertain Multi-Indicator Matrices with Risk Metrics,” in Partial Order Concepts in Applied Sciences, Springer International Publishing (2017).
  4. “A New Theory of Value: The New Invisible Hand of Altruism,” Chapter 2 in Intellectual Capital in Organizations, Routledge (2015).
  5. “A Risk-Based Approach to Cost-Benefit Analysis: Monte Carlo Risk Simulation, Strategic Real Options Analysis, Knowledge Value Added, and Portfolio Optimization,” Chapter 11 in Military Cost-Benefit Analysis: Theory & Practice, Taylor & Francis (2015).
  6. “Visualization of Big Data: Current Trends,” in Industrial Innovation, Handbook of Measurements, CRC Press (2015).
  7. “Visualization of Big Data: Ship Maintenance Metrics Analysis,” in Industrial Innovation, Handbook of Measurements, CRC Press (2015).
  8. “A Primer on Quantitative Risk Analysis,” in Multi-Asset Risk Modeling, Academic Press (2013).
  9. “Extreme Value Theory and Application to Market Shocks for Stress Testing and Extreme Value at Risk,” in Multi-asset Risk Modeling, Academic Press (2013).
  10. “Real Options in Practice,” Chapter 2 in Real Options in Engineering Design, Operations, and Management, CRC Press (2012).
  11. “Hands-on Applications of Real Options SLS,” Chapter 15 in Real Options in Engineering Design, Operations, and Management, CRC Press (2012).
  12. “Capturing the Strategic Flexibility of Investment Decisions through Real Options Analysis,” Article #5 in The Strategic CFO, Springer (2011).
  13. “Monte Carlo Risk Simulation,” Chapter 17 in Quantitative Business Valuation, Wiley (2010).
  14. “Real Options,” Chapter 18 in Quantitative Business Valuation, Wiley (2010).
  15. “Applying KVA Analysis, Risk Simulation and Strategic Real Options: The Shipyard Case,” in Organisational Capital, Routledge (2008).
  16. “Real Options and Monte Carlo Simulation versus Traditional DCF Valuation in Layman’s Terms,” Chapter 6 in Managing Enterprise Risk, Elsevier (2006).
  17. “Strategic Real Options Valuation,” Chapter 7 in Deal Making Using Real Options and Monte Carlo Analysis, Wiley (2003).
  18. “Managing Bank Risk,” in Bank Risk, Academic Press (2003).

Selected Academic Journals & Research Publications

For a complete list, please visit:

Google Scholar: https://scholar.google.com/citationshl=en&user=RdhYvvcAAAAJ 

Research Net: https://www.researchgate.net/profile/Johnathan_Mun/research

  1. “Improving Cybersecurity by Addressing Cognitive Biases: Beware the Allure of AI,” work in progress 2026 .
  2. “Theoretical Foundations for Knowledge Value Added (KVA): Mathematical Proofs from Information Theory, Econometrics, Economic Theory, and Financial Theory,” work in progress, 2026.
  3. “The Value of Less-Lethal Weapons,” Journal of Economic Analysis (2024), 3(3) 1-17. .
  4. “Artificial Intelligence and Machine Learning Applications to Navy Ships: Cybersecurity and Risk Management,” Naval Engineers Journal, March 2023, No. 135-1. .
  5. “Optimizing The Warfighter’s Intellectual Capability: Identifying Value Propositions and Modeling Return on Investment of Military Education and Research,” Defense Acquisitions Research Journal, July 2022, Vol. 29, No. 3.
  6. “Monte Carlo Simulation with Mathematical Convolution of Frequency and Severity Distributions in Operational Risk Capital Model in the Basel Accords,” Journal of Advances in Mathematics and Computer Science. 37(1): 8–21, March 2022; Article no. JAMCS 84000.
  7. “Merging Future Knowledgebase System of Systems with Artificial Intelligence/Machine Learning Engines to Maximize Reliability and Availability for Decision Support,” Journal of Military Operations Research, No. 26-N2 (2021). doi.org/10.5711/1082598326477. .
  8. “Risk-Based Modeling of Lifecycle and Total Ownership Cost,” Naval Engineers Journal, ASNE, No. 133-4, December 2021. .
  9. “Optimizing the Warfighter’s Intellectual Capacity: ROI and the Value Proposition of Military Education and Research,” Center for International Maritime Security (CIMSEC), September 2021.
  10. “Technology Trust: System Information Impact on Autonomous Systems Adoption in High-Risk Applications,” Defense Acquisitions Research Journal, Vol. 28, No.1 (January 2021).
  11. “Flexible Ships,” Naval Engineers Journal, December 2021, No. 133-1.
  12. “Acquiring Artificial Intelligence Systems: Development Challenges, Implementation Risks, and Cost/Benefits Opportunities,” Naval Engineers Journal, ASNE, No. 132-2, June 2020. .
  13. “The Lightly Manned Autonomous Combat Capability (LMACC),” Naval Engineers Journal, ASNE, No. 132-2, June 2020. .
  14. “Economic Impact of the Health Sector on the Regional Level: The Case of a Small, Open Economy,” accepted at the Applied Health Economics and Health Policy, Springer, 2021 .
  15. “Assessing Manufacturing Flow Lines Under Uncertainties in Processing Time: An Application Based on Max Plus Equations, Multicriteria Decisions, and Global Sensitivity Analysis,” International Journal of Production Economics, No. 234 (2021) .
  16. “Application of Logic Regression to Assess the Importance of Interactions Between Components in a Network,” Journal of Reliability Engineering and System Safety, September 2020 .
  17. “Why Do Some Merger and Acquisitions Deals Fail? A Global Perspective,” International Journal of Finance and Economics (June 2020) .
  18. “Introduction to Formal Concept Analysis and Its Applications in Reliability Engineering,” Journal of Reliability Engineering and System Safety, April 2020 .
  19. “Capital Budgeting and Portfolio Optimization in the U.S. Navy and Department of Defense,” Defense Acquisition Research Journal, Vol. 27, No. 1, 60–107 (January 2020).
  20. “Financial Cycles: A Monetary Policy Indicator,” The Journal for Money and Banking, Vol. 68, No. 11 (2019).
  21. “Empirical Cost Estimation of U.S. Navy Ships,” Universal Journal of Management, Vol. 7, No. 5 (2019).
  22. “Deep Learning for Stock Market Trading: A Superior Trading Strategy?” Neural Network World (May 2019) .
  23. “Active Management in State-Owned Energy Companies: A Real Options Approach into Multicriteria Analysis to Make Companies Sustainable,” Applied Energy, Vol. 195, 487–502 (June 2017) .
  24. “Applying Fuzzy Inference Systems, ASKE, Knowledge Value Added, and Monte Carlo Risk Simulation to Value Intangible Human Capital Investments,” AIP (American Institute of Physics) Conference Proceedings (April 2013) .
  25. “Human Capital Valuation and Return on Investment on Corporate Education,” Expert Systems with Applications, Vol. 39, No. 15, 11934–11943 (November 2012) .
  26. “Integrated Risk Management: A Layman’s Primer” (in Russian), Journal of Economic Strategies, No. 6-7, 48–62 (2012).
  27. “Application of Real Options Theory to DoD Software Acquisitions,” Defense Acquisition Research Journal, Vol. 18, No. 1, 81–106 (January 2011) .
  28. “Valuing Flexibility,” Systems Engineering Research (2010).
  29. “Applying KVA Analysis, Risk Simulation and Strategic Real Options: The Shipyard Case,” Organisational Capital: Modelling, Measuring and Contextualising (2008).
  30. “Return on Investment in Non-Revenue Generating Activities: Applying KVA and Real Options to Government Operations,” Review of Business Research, Vol. 7, Issue 1 (January 2007) .
  31. “Real Options Analysis: Implementation for Financial Planners,” Financial Planning Journal (2003).
  32. “A Stepwise Example of Real Options Analysis of a Production Enhancement Project” (SPE-78329-MS), 13th European Petroleum Conference, Aberdeen, Scotland, Society of Petroleum Engineers (SPE) (October 2002) .
  33. “The Real Options Solution,” Financial Engineering News (2002).
  34. “Using Real Options Software to Value Complex Options,” Financial Engineering News, Vol. 27, 1–7 (September 2002).
  35. “The Contrarian Investment Strategy: Additional Evidence,” Applied Financial Economics, Vol. 11, No. 6, 619–640 (December 2001) .
  36. “Time-Varying Nonparametric Capital Asset Pricing Model: New Bootstrapping Evidence.” Journal of Applied Financial Economics (2000).
  37. “The Contrarian/Overreaction Hypothesis: An Analysis of the U.S. and Canadian Stock Markets,” Global Finance Journal, Vol. 11, No. 1–2, 53–72 (2000) .
  38. “Tests of the Contrarian Investment Strategy: Evidence from the French and German Stock Markets,” International Review of Financial Analysis, Vol. 8, No. 3, 215–234 (March 1999) .
  39. “The Dividend-Price Puzzle: A Nonparametric Approach,” Advances in Quantitative Accounting and Finance, Vol. 7, 53–66 (1998) .

Refereed Proceedings, Symposia Articles & Technical Reports

  1. “Modeling Future Demands for Child Development Center (CDC) Funding,” Naval Research Program 2024 (forthcoming).
  2. “Improved Methods of Combat Identification,” Naval Research Program (2023). .
  3. “Game Theory and the Navy Budget,” Naval Research Program (2023). .
  4. “Industrial Assessment Directorate: Impact of the Navy’s 30-Year Shipbuilding Plan on US Industrial Base,” Acquisition Research Program (2023). .
  5. “Next Generation Logistics Ship (NGLS) Automation and Uncrewed Underway Replenishment (UNREP),” Acquisition Research Program (2023). .
  6. “Cyber Technologies, Machine Learning, Additive Manufacturing, and Cloud in the Box to Enable Optimized Maintenance Processes in Extreme Conditions,” HCI Conference Proceedings 2023. .
  7. “Management and Business Knowledge Representation for Decision Making: Applying Artificial Intelligence, Machine Learning, Data Science, and Advanced Quantitative Decision Analytics for Making Better-Informed Decisions,” Acquisition Innovation Research Center (2022).
  8. “Framework for Estimating Engineering Prototyping Uncertainty,” Acquisitions Research Program (2022).
  9. “Cybersecurity, Artificial Intelligence, and Risk Management: Understanding Their Implementation in Military Systems Acquisitions,” Acquisition Research Program (2021).
  10. “Risk-Based Modeling of Lifecycle and Total Ownership Cost,” Acquisition Research Program (2021).
  11. “Acquiring Artificial Intelligence Systems: Development Challenges, Implementation Risks, and Cost/Benefits Opportunities,” Proceedings of the Seventeenth Annual Acquisition Research Symposium, May 2020. .
  12. “The Lightly Manned Autonomous Combat Capability (LMACC),” Proceedings of the Seventeenth Annual Acquisition Research Symposium, May 2020. .
  13. “Technology Trust: The Impact of Trust Metrics on the Adoption of Autonomous Systems Used in High-risk Applications,” U.S. Naval Research Program and Acquisitions Research (October 2019). .
  14. “Modeling and Analysis of Lifecycle and Total Ownership Cost,” U.S. Naval Research Program and Acquisitions Research (October 2019).
  15. “A Comparative Analysis of Advanced Methodologies to Improve the Acquisition of Information Technology in the Department of Defense for Optimal Risk Mitigation and Decision Support Systems to Avoid Cost and Schedule Overruns,” U.S. Naval Research Program and Acquisitions Research (October 2019). .
  16. “Capital Budgeting and Portfolio Optimization in the U.S. Navy and Department of Defense,” U.S. Naval Research Program and Acquisitions Research (October 2018).
  17. “Flexible Ship Options,” U.S. Naval Research Program and Acquisitions Research (October 2018).
  18. “The Growth of the Navy Contracting Workforce and Its Impact on Levels of Contracting Activity,” U.S. Naval Research Program and Acquisitions Research (October 2018). .
  19. “Total Ownership with Lifecycle Cost Model Under Uncertainty: Model Manual and Instructions (Electro-Optical Infrared Sensors),” U.S. Naval Research Program and Acquisitions Research (May 2018).
  20. “Business Case Valuation of Strategic Flexibility in Shipbuilding: Justifying and Assessing the Value of Flexible Ships Design Features in New Navy Ship Concepts,” U.S. Naval Research Program and Acquisitions Research (November 2017). .
  21. “Portfolio Optimization of Flexible Ship Options,” U.S. Naval Research Program and Acquisitions Research (November 2017).
  22. “Shrinking the Mountain of Metal: The Potential of Three Advanced Technologies,” U.S. Naval Research Program and Acquisitions Research (June 2017). .
  23. “Flexible and Adaptable Ship Options: Assessing the Future Value of Incorporating Flexible Ship Design Features into New Navy Ship Concepts,” Acquisitions Research (U.S. Department of Defense) (November 2016). .
  24. “Assessing the Manning Options’ Impacts on Effectiveness and Efficiency of Technology Security and Foreign Disclosure Processes,” Acquisitions Research (U.S. Department of Defense) (October 2016).
  25. “Empirical Cost Estimation Tool,” Acquisitions Research (U.S. Department of Defense) (October 2016).
  26. “Benchmarking Naval Shipbuilding with 3D Laser Scanning, Additive Manufacturing, and Collaborative Product Lifecycle Management,” Acquisitions Research (U.S. Department of Defense) (October 2016). .
  27. “The Importance of Weather in Military Applications: WeatherNow ROI Analysis,” Naval Postgraduate School (April 2016). .
  28. “Make or Buy: An Analysis of the Impacts of 3D Printing Operations, 3D Laser Scanning Technology, and Collaborative Product Lifecycle Management on Ship Maintenance and Modernization Cost Savings,” Acquisitions Research (U.S. Department of Defense) (February 2015). .
  29. “Visualization of Big Data Through Ship Maintenance Metrics Analysis for Fleet Maintenance and Revitalization,” Acquisitions Research (U.S. Department of Defense) (February 2014). .
  30. “Advanced Quantitative Forecasting and Analytics on Foreign Military Sales, Defense Security Cooperation Agency (DSCA)” (February 2014).
  31. “Applying Fuzzy Inference Systems, ASKE, Knowledge Value Added, and Monte Carlo Risk Simulation to Value Intangible Human Capital Investments,” AIP (American Institute of Physics) Conference Proceedings (April 2013). .
  32. “Naval Ship Maintenance: An Analysis of Dutch Shipbuilding Industry Using the Knowledge Value Added, Systems Dynamics, and Integrated Risk Management Methodologies,” Acquisitions Research (U.S. Department of Defense) (October 2012). .
  33. “Ship Maintenance Processes with Collaborative Product Lifecycle Management and 3D Terrestrial Laser Scanning Tools: Reducing Costs and Increasing Productivity,” Proceedings, Eighth Annual Acquisition Research Symposium, Wednesday Sessions, Volume 1 (U.S. Department of Defense) (September 2011). .
  34. “Advanced Capability Builds for Aegis: Stochastic Portfolio Optimization (Selection and Prioritization), Risk Simulation, KVA, and Strategic Real Options,” Acquisitions Symposium (U.S. Department of Defense) 2010.
  35. “A Primer on Applying Monte Carlo Simulation, Real Options Analysis, Knowledge Value Added, Forecasting, and Portfolio Optimization,” Naval Postgraduate School, Monterey, California (February 2010). .
  36. “PEO-IWS ACB Insertion Portfolio Optimization,” Proceedings, Seventh Annual Acquisition Research Symposium, Thursday Sessions, Volume 2 (April 2010). .
  37. “Using Knowledge Value Analysis and Real Options Analysis to Improve DoD Acquisition Planning and Management,” Naval Postgraduate School, Monterey, California, 2010.
  38. “Advanced Capability Builds: Portfolio Optimization, Selection and Prioritization, Risk Simulation, KVA, and Strategic Real Options Analysis,” Acquisitions Research (U.S. Department of Defense) (September 2009). .
  39. “Application of Real Options Theory to Software Engineering for Strategic Decision Making in Software Related Capital Investments in the U.S. Department of Defense,” Acquisitions Research (U.S. Department of Defense) (February 2009). .
  40. “Ship Maintenance and Project Lifecycle Management,” Acquisitions Symposium (U.S. Department of Defense) 2008.
  41. “A Primer on Integrated Risk Management for the Military,” Acquisitions Symposium (U.S. Department of Defense) 2007.
  42. “AEGIS Platforms: The Potential Impact of Open Architecture in Sustaining Engineering,” Acquisitions Research (U.S. Department of Defense) (October 2007). .
  43. “AEGIS and Ship Self-Defense System Platforms: Using KVA Analysis, Risk Simulation and Strategic Real Options to Assess Operational Effectiveness,” Acquisitions Research (U.S. Department of Defense) (September 2006). .
  44. “A Methodology for Improving the Shipyard Planning Process: Using KVA Analysis, Risk Simulation and Strategic Real Options,” Acquisitions Research (U.S. Department of Defense) (September 2006). .
  45. “Integrated Portfolio Analysis: Return on Investment and Real Options Analysis of Intelligence Information Systems (Cryptologic Carry-on Program),” Naval Postgraduate School (September 2006). .
  46. “Reducing Maintenance Program Costs with Improved Engineering Design Processes Using KVA Analysis, Risk Simulation, and Strategic Real Options,” Acquisitions Research (U.S. Department of Defense) 2005.
  47. “Using KVA and Real Options for IT Acquisition: Case Example,” Naval Postgraduate School, Monterey, California, 2005.