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Susan Marie Sanchez

Distinguished Professor
Operations Research

Phone: (831) 656-2780
NPS Experience
  • 2000 - current: Distinguished Professor

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

Publications
  • Book Chapters
  • Sanchez, S. M., & Sanchez, P. J, (2017). Better Big Data via Data Farming Experiments. Springer International Publishing AG.
  • Journal Articles
  • Erickson, C., Ankenman, B. E., Plumlee, M., & Sanchez, S. M, (2021). Gradient based criteria for sequential experiment design. Quality and Reliability Engineering International.
  • 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.