Susan Marie Sanchez

Awards

• 2021 - Invited Plenary Speaker, Operational Research Society 10th Simulation Workshop, Loughborough University, UK
• 2019 - Distinguished Service Award, INFORMS Simulation Society
• 2019 - Carl E. and Jessie W. Menneken Faculty Award for Excellence in Scientific Research: Significant and Sustained Contribution, Naval Postgraduate School
• 2019 - Invited Plenary Speaker at DOExpo, Defence Science and Technology Group, Melbourne, Australia
• 2019 - Outstanding Poster Award, Defense and Test Analysis (DATA) Workshop
• 2017 - INFORMS Fellow, INFORMS (Institute of Operations Research and the Management Sciences)
• 2016 - Titan of Simulation, Winter Simulation Conference
• 2015 - Gus Schaefer Award, Defence Operations Research Symposium (DORS), held concurrently with MODSIM2015, Gold Coast, Australia
• 2015 - International Keynote Speaker, Defence Operations Research Symposium 2015, held concurrently with MODSIM2015, Gold Coast, Australia.
• 2014 - NATO Scientific Achievement Award, NATO Science & Technology Organization
• 2014 - Richard W. Hamming Faculty Award for Interdisciplinary Activities, NPS Foundation
• 2013 - Bernard Koopman Prize, INFORMS Military Applications Society

Scholarly Work

• Book Chapters
• Sanchez, S. M., & Sanchez, P. J, (2017). Better Big Data via Data Farming Experiments. Springer International Publishing AG.

• Conference Proceedings
• Sanchez, S. M, (2021). Data farming: The meanings and methods behind the metaphor.
• Parmer, D., Morgan, L. E., Titman, A. C., Williams, R. A., & Sanchez, S. M, (2021). A two stage algorithm for guiding data collection towards minimising input uncertainty.
• Sanchez, S. M., Sanchez, P. J., & Wan, H, (2020). Work smarter, not harder: A tutorial on designing and conducting simulation experiments.
• Sanchez, S. M., & Sanchez, P. J, (2020). Robustness revisited: Simulation optimization viewed through a different lens.
• Regnier, E., Sanchez, S. M., & Sanchez, P. J, (2020). Testing-based interventions for COVID pandemic policies.
• Sanchez, S. M, (2018). Data farming: Better data, not just big data.
• Sanchez, S. M., Sanchez, P. J., & Purdue University, H. W, (2018). Work smarter, not harder: A tutorial on designing and conducting simulation experiments.
• Upton, S. C., Mcdonald, M. L., Sanchez, S. M., & Zabinsky, H. M, (2017). Invoking "ARTeMIS" -- the multi-objective hunt for diverse and robust alternative solutions.
• Marlow, D. O., Sanchez, S. M., & Sanchez, P. J, (2017). Assessing the impact of the bathtub failure rate curve on fleet performance using designed simulation experiments.
• Mcdonald, M. L., Sanchez, S. M., McDonald, M. L., Goerger, S. R., & Karl, A. T, (2016). Tradespace Analysis for Multiple Performance Measures.
• Sanchez, P. J., & Sanchez, S. M, (2015). A Scalable Discrete Event Stochastic Agent-Based Model of Infectious Disease Propagation.
• Marlow, D. O., Sanchez, S. M., & Sanchez, P. J, (2015). Testing aircraft fleet management policies using designed simulation experiments.

• Journal Articles
• Sanchez, S. M, (2020). Data farming: Methods for the present, opportunities for the future. ACM Transactions on Modeling and Computer Simulation, 4(30), 22:1-22:30.
• Marlow, D., Sanchez, S. M., & Sanchez, P. J, (2019). Testing policies and key influences on long-term aircraft fleet management using designed simulation experiments. Military Operations Research.
• Sanchez, P. J., & Sanchez, S. M, (2018). Orthogonal 2nd order space-filling designs with insights from simulation experiments to support test planning. Quality and Reliability Engineering International.
• Erickson, C., Ankenman, B. E., & Sanchez, S. M, (2018). Data from fitting Gaussian process models to various data sets using eight Gaussian process software packages. Data in Brief, (18), 684-687.
• Sanchez, S. M, (2018). Data farming: reaping insights from simulation models. Chance, 2(31), 45-52.
• Erickson, C., Ankenman, B. E., & Sanchez, S. M, (2018). Comparison of Gaussian process modeling software. European Journal of Operational Research, 2018(266), 179-192.
• Morgan, B. L., Schramm, H. C., Smith, J. R., Lucas, T. W., Mcdonald, M. L., Sanchez, P. J., Sanchez, S. M., & Upton, S. C, (2018). Improving U.S. Navy Campaign Analyses with Big Data. Interfaces, 2(48), 130-146.
• Duan, W., Ankenman, B. E., Sanchez, S. M., & Sanchez, P. J, (2017). Sliced full factorial-based Latin hypercube designs as a framework for a batch sequential design algorithm. Technometrics, 1(59), 11-22.