Department of Operations Research
Naval Postgraduate School
Glasgow Hall, Room G-238
Monterey, CA 93943

Phone: (831) 656-3890
Fax: (831) 656-2595
E-mail: emcrapar [at] nps [dot] edu

Emily Craparo, Associate Professor

Emily Craparo came to the Naval Postgraduate School Department of Operations Research as a National Research Council Postdoctoral Associate in 2009, and she joined the faculty in 2010. Dr. Craparo received her S.B., S.M., and Ph.D. from the Department of Aeronautics and Astronautics at the Massachusetts Institute of Technology (MIT). Her graduate research focused on decision and control algorithms for cooperative autonomous systems operating in communication-constrained environments, as well as wireless network optimization. Her current areas of interest are decision-making under uncertainty and the design of efficient algorithms.

Material contained herein is made available for the purpose of peer review and discussion and does not necessarily reflect the views of the Department of the Navy or the Department of Defense.

1. B. Colburn and E. Craparo, "Preserving Logistical Support for Deployed Battle Groups in Hostile Environments: A Decentralized Approach," in Operations Research for Military Organizations, 225-267, 2019.
2. M. Rosas and E. Craparo, "Optimization of NAS Lemoore Scheduling to Support a Growing Aircraft Population," in Operations Research for Military Organizations, 268-312, 2019.
3. E. M. Craparo, "Location-Constrained Placement and Assignment in Mobile Backbone Networks." In Sensors: Theory, Algorithms, and Applications, P.M. Pardalos, V. Boginski, C. Commander, Y. Ye (eds.), pp. 20-39, Springer, November 2011.
4. E. M. Craparo, F. S.-H. Chang, J. W. Lee, R. Berwick and E. Feron, "Natural Language Interfaces in Control of Unmanned Aerial Vehicles," in Theory and Algorithms for Cooperative Systems, edited by D. Grundel, R. Murphey and P. M. Pardalos, World Scientific, 2003. Invited contribution.

1. E. M. Craparo and J. Sprague, "Integrated Supply- and Demand-Side Energy Management for Expeditionary Environmental Control," accepted for publication in Applied Energy, 2018.
2. M. Karatas, E.M. Craparo, and G. Akman, "Bistatic Sonobuoy Deployment Strategies for Detecting Stationary and Mobile Underwater Targets," accepted for publication in Naval Research Logistics, 2018.
3. E.M. Craparo, A. Fügenschuh, C. Hof, and M. Karatas, "Optimizing Source and Receiver Placement in Multistatic Sonar Networks to Monitor Fixed Targets," European Journal of Operational Research, Feb 2018.
4. E. M. Craparo, T. Kuhn, and M. Karatas, "Sensor Placement in Active Multistatic Sonar Networks," Naval Research Logistics 64 (4), 287-304, 2017.
5. E.M. Craparo, M. Karatas, and D. Singham. "A Robust Optimization Approach to Hybrid Microgrid Operation Using Ensemble Weather Forecasts," Applied Energy, September 2017.
6. V. Sözen and E.M. Craparo, "Optimal Unmanned Aerial Vehicle Allocation for Border Surveillance," Military Operations Research 21 (3), 19-36, 2016.
7. Jean M. Carlson, David L. Alderson, Sean P. Stromberg, Danielle S. Bassett, Emily M. Craparo, Francisco Guiterrez-Villarreal, and Thomas Otani, "Measuring and Modeling Behavioral Decision Dynamics in Collective Evacuation," PLoS One, Feb 2014. doi:10.1371/journal.pone.0087380
8. W. Cai, D.I. Singham, E.M. Craparo, and J.A. White, "Pricing Contracts under Uncertainty in a Carbon Capture and Storage Framework," Energy Economics, Feb 2014, Vol 34, pp 56-62.
9. M. D. Enoka and E. M. Craparo, "Optimizing Marine Security Guard Assignments," Military Operations Research, Volume 19, Number 2, 2014.
10. E. M. Craparo, J. P. How and E. Modiano, "Throughput Optimization in Mobile Backbone Networks," IEEE Transactions on Mobile Computing, Vol. 10, No. 4, pp. 560-572, April 2011.
11. W. Gawronski and E. M. Craparo, "Antenna Scanning Techniques for Estimation of Spacecraft Position," IEEE Antennas and Propagation Magazine, Vol. 44, No. 6, pp. 38-45, Dec 2002.

1. L. M. Johannsmann, E. M. Craparo, T. L. Dieken, A. R. Fügenschuh, and B. O. Seitner,  "Optimized Spare Parts Inventory for Military Deployment." Best Paper Award at the 12th NATO Operational Research & Analysis Conference, 2018.
2. E. M. Craparo and A. Fügenschuh, "The Multistatic Sonar Location Problem and Mixed-Integer Programming." In: Kliewer N., Ehmke J., Borndörfer R. (eds) Operations Research Proceedings 2017. Operations Research Proceedings (GOR (Gesellschaft für Operations Research e.V.)). Springer, Cham.
3. H. Bouaicha, H. Dallagi, E. Craparo, and S. Nejim, "Economic Scheduling of a Hybrid Microgrid Based on Weather Forecasts," International Conference on Advanced Systems and Electric Technologies (IC_ASET), 2017.
4. M. Karatas, M.M. Gunal, and E.M. Craparo, "Performance Evaluation of Mobile Multistatic Search Operations via Simulation," Proceedings of the 49th Annual Simulation Symposium, 2016.
5. M. Karatas and E. Craparo, "Evaluating the Direct Blast Effect in Multistatic Sonar Networks using Monte Carlo Simulation," Proceedings of the 2015 Winter Simulation Conference, 1184-1194, 2015.
6. M. Karatas, E. Craparo, and A. Washburn, "A Cost Effectiveness Analysis of Randomly Placed Multistatic Sonobuoy Fields," Proceedings of the 2014 International Workshop on Applied Modeling and Simulation, Istanbul, Turkey, September 2014.
7. M. Karatas, E. Craparo, and D. Singham, "Selection of a Planning Horizon for a Hybrid Microgrid using Simulated Wind Forecasts," Proceedings of the 2014 Winter Simulation Conference, pages 1050-1060.
8. B. R. Shiro, D. W. Kwon, E. M. Craparo, S. I. Infeld, J. L. Heldmann, and F. S. Thomson. "Mars Geophysical Lander Mission: A Mission Concept from the 2003 NASA Planetary Science Summer School." 44th Lunar and Planetary Science Conference, The Woodlands, TX, 2013.
9. E. M. Craparo, "Constrained Node Placement in Mobile Backbone Networks," Proc. of the IEEE Conference on Decision and Control, 2010.
10. E. M. Craparo, J. P. How and E. Modiano, "Optimization of Mobile Backbone Networks: Improved Algorithms and Approximation," Proc. of the American Control Conference, 2008. Best in Session.
11. E. M. Craparo, J. P. How and E. Modiano, "Simultaneous Placement and Assignment for Exploration in Mobile Backbone Networks," Proc. of the IEEE Conference on Decision and Control, 2008.
12. E. M. Craparo, J. P. How, N. Roy and D. P. de Farias, "Decentralized Estimation under Communication Constraints," Proc. of the AIAA Guidance, Navigation and Control Conference, 2007.
13. E. M. Craparo and E. Feron, "Natural Language Processing in the Control of Unmanned Aerial Vehicles," Proc. of the AIAA Guidance, Navigation and Control Conference, 2004.
14. B. Ingram and E. M. Craparo, "A Micro-Sized Ornithopter Wing Design," Proc. of the 41st AIAA Aerospace Sciences Meeting and Exhibit, 2003.

1. B. R. Shiro, D. W. Kwon, E. M. Craparo, S. I. Infield, J. L. Heldmann, and F. S. Thompson, "Mars Geophysical Lander Mission: A Mission Concept from the 2003 NASA Planetary Science Summer School," submitted to the 44th Lunar and Planetary Science Conference, 2013.
2. E. M. Craparo, J. Tabacca, and K. Smead, "Optimizing the Army's Aerial Reconnaissance and Surveillence Asset Mix." In review.
3. E. M. Craparo, "Cooperative Exploration under Communication Constraints," Doctoral thesis, September 2008.
4. E. M. Craparo, "Natural Language Processing for Unmanned Aerial Vehicle Guidance Interfaces," Masters thesis, June 2004.
5. D. L. Alderson, E. M. Craparo, and W. J. Fry, "Assessing Tradeoffs in Mobile Ad-Hoc Network Deployment: A Case Study in Ground Soldier Mobile Systems," NPS technical report NPS-OR-11-002, January 2011.
6. R. Koyak, R. K. Wood, E. M. Craparo, and S. Buttrey, "Graph-theoretic Statistical Procedures for Detecting Signals in Indexed Multivariate Data," white paper, 2011.
7. W. Gawronski and E. M. Craparo, "Three Scanning Techniques for Deep Space Network Antennas to Estimate Spacecraft Position," NASA Interplanetary Network Progress Report 42-147, July-September 2001, pp. 1-17, November 15, 2001.

1. E.M. Craparo and M. Karatas, "A Method for Placing Sources in Multistatic Sonar Networks," Naval Postgraduate School technical report, 2018.
2. J. Harrop, E. Craparo, and C. Marks, "Joint Platform Allocation Tool Reformulation Using Benders Decomposition," TRAC technical report TRAC-M-TM-14-002, October 2013.
3. E. M. Craparo, J. Tabacca, and K. Smead, "Optimizing the Army's Aerial Reconnaissance and Surveillance Asset Mix via the Joint Platform Allocation Tool (JPAT)," NPS technical report NPS-OR-13-004, August 2013.
4. P. A. Nesbitt, E. M. Craparo, C. E. Marks, J. K. Alt, K. D. Smead, and J. L. Tabacca, "Modification to the Joint Platform Allocation Tool (JPAT) to Include Additional Warfighting Functions," TRAC technical report TRAC-M-TR-13-051, July 2013.
5. D. L. Alderson, E. M. Craparo, and W. J. Fry, "Assessing Tradeoffs in Mobile Ad-Hoc Network Deployment: A Case Study in Ground Soldier Mobile Systems," NPS technical report NPS-OR-11-002, January 2011.
6. W. Gawronski and E. M. Craparo, "Three Scanning Techniques for Deep Space Network Antennas to Estimate Spacecraft Position," NASA Interplanetary Network Progress Report 42-147, July-September 2001, pp. 1-17, November 15, 2001.

1. "Optimization of Multistatic Sensor Locations for Point Coverage Purposes", 4th International Researchers, Statisticians and Young Statisticians Congress (IRSYSC 2018), Izmir, Turkey. (Presenting author was M Karatas; coauthored with E. Yakici.)
2. "Approximating the Coverage of Randomly Deployed Bistatic Sensors," 2nd International Congress On Mathematics Statistics and Analytical Methods, 02-03 March 2018, Istanbul, Turkey. (Presenting author was E. Yakici; coauthored with M. Karatas.)
3. "Coverage Maximization for Multistatic Sonar Location under Budget Restrictions."  5th IMA Conference on Mathematics in Defence, Sandhurst, UK, 2017. (Presenting author was A. Fügenschuh.)
4. "Optimizing MK-41 Vertical Launch System Missile Loading," 2015 Military Operations Research Society Symposium, Alexandria, VA. (coauthored with Gerald Brown, Michael Wiederholt, and Jeffrey Kline)
5. Salmerón, J. and Craparo, E. "Retail Inventory Optimization for the U.S. Navy," INFORMS, Philadelphia, PA, 1-4 Nov. 2015.
6. "Retail Inventory Optimization for the U.S. Navy," INFORMS, Philadelphia, PA, 1-4 Nov. 2015. (Presenting author was Javier Salmeron)
7. "Inventory Optimization for the U.S. Navy," INFORMS, San Francisco, CA, 9-12 Nov. 2014. (Presenting author was Javier Salmeron)
8. "Optimal Sensor Placement in Active Multistatic Sonar Networks," 2014 Military Operations Research Society Symposium, Alexandria, VA. (coauthored with Mumtaz Karatas, Craig Rasmussen, and Tobias Kuhn)
9. "Optimizing the Army's Aerial Reconnaissance and Surveillance Asset Mix," 2012 INFORMS Annual Meeting, Phoenix, AZ (coauthor).
10. "Decision-Making in Information-Rich Environments," invited talk for Stanford University's Department of Aeronautics and Astronautics, Palo Alto, CA, August 2012.
11. "Decision-Making in Information-Rich Environments," invited talk for the Naval Academy's Systems Engineering Department, Palo Alto, CA, March 2012.
12. "Optimizing Marine Security Guard Assignments," 2011 INFORMS Annual Meeting, Charlotte, NC.
13. "Graph-Theoretic Statistical Procedures for Signal Detection," NSF/DTRA Algorithms Workshop, Boston, MA, June 2011.
14. "Making Emergency Evacuation Decisions with Uncertain Information," 2010 INFORMS Annual Meeting, Austin, TX.
15. "Throughput Optimization in Mobile Backbone Networks," Department of Operations Research, Naval Postgraduate School, November 2008.
16. "Design and Optimization of Mobile Backbone Networks," Institute for Pure and Applied Mathematics, UCLA, November 2008.
17. "Throughput Optimization in Mobile Backbone Networks," 2008 SIAM Conference on Optimization 2008, Boston, MA.
18. "Cooperative Sensing in Mobile Backbone Networks," SENSORS 2008, Shalimar, FL.
19. "A Micro-Sized Ornithopter Wing Design," AIAA Northeast Region Student Conference, 2002. Best undergraduate presentation.

Mathematical optimization provides a rigorous framework for making decisions while taking into account physical, economic, logistical, procedural, and other constraints. Three key capabilities are required in the practical application of mathematical optimization techniques:

Formulation: expression of a real-world problem in mathematical notation
Implementation: realization of a written formulation in a computational solver
Post-optimality analysis: interpretation of solver output in terms of the original real-world problem

These capabilities form the core of my Systems Optimization course, which emphasizes practical application of a broad array of optimization techniques. They are also important in my Linear Programming, Nonlinear Programming, and Network Flows and Graphs courses, which focus heavily on theory and algorithms, and my energy course, which provides an energy-oriented survey of operations research techniques.

CATALOG DESCRIPTION:

Theory of optimization of linear functions subject to linear constraints. The simplex algorithm, duality, sensitivity analyses, parametric linear programming. Applications to resource allocation, manpower planning, transportation and communications, network models, ship scheduling, etc. Introduction to computer-based linear programming systems.

TOPICS DISCUSSED:

• Introduction to linear programming (LP) models: Standard notation and nomenclature, assumptions, classification, examples, graphical solution, introduction to LP software, indexed notation, relaxations and restrictions
• Properties of LPs: Standard and canonical form of an LP, convex sets, extreme points, adjacency, directions, representation theorem, equivalence of extreme points and basic feasible solutions
• The simplex method: Identification of basic feasible solutions, graphical examples, fundamental equations, simplex algorithm (Phase II), numerical examples, unboundedness, multiple optima
• More on the simplex method: Simplex Phase I, degeneracy, simplex for bounded variables
• Mixed-integer programming: Introduction, branch and bound, controlling decisions through binary variables, applications: set covering, workforce scheduling, fixed-charge problems, etc.
• Duality: Forms of duality, economic interpretation, weak and strong duality, primal-dual relationships, complementary slackness, Karush-Kuhn-Tucker conditions

TOPICS DISCUSSED:

• Classification of optimization problems and associated algorithms
• Modeling and solution of real-world (mixed-integer) nonlinear programs
• Min-max and Benders' decomposition
• Heuristic algorithms
• Convexity
• Convergence analysis
• Unconstrained nonlinear optimization: optimality conditions and algorithms
• Gradient and Newton's methods
• Line search
• Step size rules
• Constrained nonlinear optimization: optimality conditions and algorithms
• Feasible and descent directions
• Lagrange multiplier theory and algorithms

CATALOG DESCRIPTION:

Introduction to formulation and solution of problems involving networks, such as maximum flow, shortest route, minimum cost flows, and Program Evaluation Review Technique/Critical Path Method (PERT/CPM). Elements of graph theory, data structures, algorithms, and computational complexity. Applications to production and inventory, routing, scheduling, network interdiction, and personnel management.

TOPICS DISCUSSED:

• Introduction to graphs and network models: Standard notation and terminology, assumptions, classification, examples, data structures, introduction to relevant software
• Basic algorithms on graphs: Breadth-first search, depth-first search, connectivity, topological ordering, analysis of algorithms
• The shortest path problem: Topological sort, Djikstra's algorithm, label-correcting algorithms, LP formulation and dual, interdiction, applications
• The maximum flow problem: Residual graphs, Edmonds-Karp algorithm, LP formulation and dual, interdiction, max-flow/min-cut theorem, most-vital arcs, applications
• The minimum-cost network flow problem: LP formulation and dual, interdiction, applications and extensions

• Beyond network structure: Loss of integrality, applications such as multicommodity flows, constrained shortest path, and generalized network flows

CATALOG DESCRIPTION:

A survey of operations research techniques with emphasis on techniques relevant to energy applications. Topics covered include optimization, stochastic modeling, simulation, and statistical methods including forecasting and system test and evaluation. Excel-based spreadsheet models are used to analyze energy systems and energy consumption logistics during wartime operations and during peacetime.

TOPICS DISCUSSED:

• Basic decision theory
• Linear programs and multiperiod models; sensitivity analysis
• Nonlinear and integer linear programs
• Multi-objective optimization
• Attacker/defender models; decomposition
• Forecasting techniques
• Stochastic modeling and simulation

CATALOG DESCRIPTION:

OS3211 is an application-oriented introduction to optimization. It introduces models (linear, integer and nonlinear programs), modeling tools (sensitivity and post-optimality analysis), and optimization software and solution techniques. It presents many military and private sector optimization applications, such as production planning and scheduling, inventory planning, personnel scheduling, project scheduling, distribution systems planning, facility sizing and capacity expansion, and product development.

TOPICS DISCUSSED:

• Introduction to optimization; overview of some optimization applications
• Linear programs
• Network models
• Integer programs
• Multi-objective optimization
• Nonlinear programming and convexity; heuristics

Ph.D., Aeronautics and Astronautics,
Massachusetts Institute of Technology,
September 2008.
Minor: Mathematics

S.M., Aeronautics and Astronautics,
Massachusetts Institute of Technology, June 2004

S.B., Aeronautics and Astronautics with Information Technology,
Massachusetts Institute of Technology, June 2002

• Best Paper Award at the 12th NATO Operational Research & Analysis Conference, 2018: "Optimized Spare Parts Inventory for Military Deployment" by Leonie M. Johannsmann, Emily M. Craparo, Thor L. Dieken, Armin R. Fügenschuh, and Björn O. Seitner (to appear).
• Finalist, Rear Admiral John Jay Schieffelin Award for Teaching Excellence, 2013 and 2014
• Dr. Wilbur B. Payne Memorial Award for Excellence in Analysis, Large Group division, 2013
• Northrop Grumman Faculty Award for Excellence in Systems Engineering Analysis, 2013
• Army Modeling and Simulation Award, Team Analysis division, 2012
• Recognized by the NPS OR Department for outstanding teaching, Winter 2012 and Summer 2014
• National Research Council Postdoctoral Fellowship
• NSF Graduate Fellowship
• NDSEG Graduate Fellowship
• MIT Presidential Fellowship
• Stanford Graduate Fellowship
• Massachusetts Space Grant Consortium Fellowship
• Zonta International Amelia Earhart Fellowship (two-time winner)
• Association of MIT Alumnae Award 2002 (given to three graduating women at MIT)
• Best in session, American Control Conference, 2008
• Best undergraduate presentation, AIAA Northeast Regional Student Conference, 2002
• Accepted to NASA Academy, 2001
• NASA Summer Undergraduate Research Fellow, 2001 (NASA Jet Propulsion Laboratory)
• AIAA Northwest Florida Section Student Achievement Award (two-time winner)
• Leaders for Manufacturing Award (2002)
• Commander Lewis E. Erdner Memorial Scholarship (awarded by the American Society of Naval Engineers)
• Barry M. Goldwater Scholarship

Naval Postgraduate School

• Assistant Professor, Department of Operations Research, October 2013-present
• Research Assistant Professor, Department of Operations Research, July 2010-October 2013
• NRC Postdoctoral Fellow, Department of Operations Research, July 2009-July 2010

Massachusetts Institute of Technology

• Research Assistant, Aerospace Controls Laboratory, October 2005-September 2008
• Research Assistant, Laboratory for Information and Decision Systems, June 2002-October 2005
• Undergraduate Research Assistant, Software Engineering Research Laboratory, September 2000-January 2001

NASA Jet Propulsion Laboratory

• Undergraduate Student Research Program (USRP) Fellow, June 2001-August 2001

Pennsylvania State University

• Undergraduate Research Fellow, Applied Research Laboratory, June 2000-August 2000

• IEEE
• SIAM
• INFORMS
• AIAA
• Tau Beta Pi
• Phi Beta Kappa
• Sigma Gamma Tau
• MIT Graduate Association of Aeronautics and Astronautics (Academics chair)
• Rowing (Union Boat Club, MIT Rowing Club, Santa Cruz Rowing Club)
• Pottery (MIT Student Art Association)
• Music (MIT Symphony Orchestra, MIT Chamber Music Society, MPC Band)
• Flying (East Coast Aero Club)

1. CDR Gary Lazzaro, USN. "Tri-Level Optimization Algorithms for Solving Defender Attacker Defender Network Models," June 2016.
2. CDR Matthew Hawks, USN. "Graph-Theoretic Statistical Methods for Detecting and Localizing Distributional Change in Multivariate Data," June 2015.

Asterisk (*) denotes a Finalist, MORS/Tisdale thesis award (department-level award) or recognized for an outstanding thesis

Double asterisk (**) denotes a Winner, MORS/Tisdale thesis award

1. LCDR Jonathan Krenz, USN. "Multicommodity Logistical Support in an Anti-access, Area Denial Environment" March 2018.
2. *LCDR Sean Teter, USN. "Simulated Operating Concepts for WIOM Implementation," March 2018.
3. *LCDR Manuel Rosas, USN. "Optimization of NAS Lemoore Scheduling to Support a Growing Aircraft Population," March 2017.
4. **LCDR Warren Blackburn, USN. "OTTER: An Optimized Transit Tool and Easy Reference," March 2016.
5. **LCDR John Sprague, USN. "Optimal Scheduling of Deferrable Electric Loads in Expeditionary Power Grids," September 2015.
6. **LTC Christoph Hof, German Army. "Optimization of Source and Receiver Placement in Multistatic Sonar Environments," June 2015.
7. LCDR Brian Colburn, USN. "Preserving Logistic Support for Deployed Battle Groups in an Anti-Access, Area Denial (A2AD) Environment," March 2015.
8. **MAJ Ryan Colton, USMC. "Aerial Refueling Network Resiliency Analysis," December 2014.
9. *LCDR Nicholas Ulmer, USN. "Optimizing Microgrid Architecture on Department of Defense Installations," September 2014.
10. *MAJ Tobias Kuhn, German Army. "Optimal Sensor Placement in Active Multistatic Sonar Networks," June 2014.
11. *1LT Volkan Sözen, Turkish Army. "Optimal Deployment of Unmanned Aerial Vehicles for Border Surveillance," June 2014.
12. **LT David Hebert, USN. "Radar Resource Management in a Dense Target Environment," March 2014.
13. LT Hamadi Bouaicha, Tunisian Navy. "Optimal Day-Ahead Scheduling of a Hybrid Electric Grid Using Weather Forecasts," December 2013.
14. LT John Harrop, USN. "Improving the Army's Joint Platform Allocation Tool (JPAT)," September 2013
15. *LCDR April Malveo, USN. "Assessing the Impact of Congestion During a Multi-County Evacuation," March 2013.
16. CDR Edward DeWinter, USN. "A Persistent Planning Model for EOD Training and Evaluation Unit Two," September 2012.
17. *LT Jason Crews, USN, "Determining Optimal Evacuation Decision Policies for a Generic Disaster Process." March 2012.
18. **CAPT Maro Enoka, USMC. "Optimizing Marine Security Guard Assignments," June 2011.

1. Capt David Alger, USMC. "Marine Corps Officer Assignments: There Has to be a Better Way," March 2019. Co-advised with Chad Seagren.
2. LCDR Charles Deibler, USN. "Expeditionary Logistics Warehouse Inventory Optimization," September 2018. Co-advised with Javier Salmeron.
3. LCDR Brian Hays, USN. "Wholesale Inventory Optimization for Repairable Parts," September 2018. Co-advised with Javier Salmeron.
4. Leonie Johannsmann, "Optimized Spare Parts Inventory Management for Military Deployment," August 2017 (Helmut Schmidt University). Co-advised with Armin Fügenschuh. 
5. LCDR John Olabode, USN. "Analysis of the Performance of an Optimization Model for Time-Shiftable Electrical Load Scheduling Under Uncertainty," October 2016. Co-advised with Susan Sanchez.
6. MAJ Gretchen Radke, USA. "Optimizing Long-Term Capital Planning for Special Operations Forces," June 2015. Co-advised with Jonathan Alt.
7. LCDR Maxine Gardner, USN. "Investigating the Naval Logistics Role in Humanitarian Assistance Activities," March 2015. Co-advised with Susan Sanchez.
8. LCDR Brennan Kemper, USN. "Maximizing Weapon System Availability with a Multi-Echelon Supply Network," March 2014. Co-advised with Javier Salmeron.

1. Capt Matthew Danielson, USMC. "Scheduling Amphibious Connectors to Deliver Multiple Commodities," June 2018.
2. Capt Robert Christafore, USMC. "Generating Ship-to-Shore Bulk Fuel Delivery Schedules for the Marine Expeditionary Unit," June 15, 2017.
3. Tacettin Ersoz, Turkish Navy. "A New Approach to Site Demand-Based Level Inventory Optimization," June 2016.
4. LT Michael Wiederholt, USN. "Vertical Launch System Loadout Planner," March 2015.
5. LT Jesse Nesbitt, USN. "Robust Optimization in Operational Risk: A Study of the Joint Platform Allocation Tool," June 2014.
6. LT Jacob Fry, USN. "An Analysis of Mobile Ad-Hoc Network Performance to Recommend a Basis of Issue for the U.S. Army Nett Warrior System," September 2010.