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Personal profile

Research Interests

The interface of simulation models and the real world: uncertainty quantification, model calibration, large-scale simulation, design and analysis of simulation experiments.  Methodological interests in all areas of statistical and machine learning.

Education/Academic qualification

Industrial Engineering, PhD, Georgia Institute of Technology

Statistics, MS, Georgia Institute of Technology

Mechanical Engineering, BS, Purdue University

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Grants

  • Research Output

  • Gradient based criteria for sequential design

    Erickson, C. B., Ankenman, B. E., Plumlee, M. & Sanchez, S. M., Jan 31 2019, WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause. Institute of Electrical and Electronics Engineers Inc., p. 467-478 12 p. 8632546. (Proceedings - Winter Simulation Conference; vol. 2018-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Multiresolution Functional ANOVA for Large-Scale, Many-Input Computer Experiments

    Sung, C. L., Wang, W., Plumlee, M. & Haaland, B., Jan 1 2019, In : Journal of the American Statistical Association.

    Research output: Contribution to journalArticle

  • Plausible optima

    Plumlee, M. & Nelson, B. L., Jan 31 2019, WSC 2018 - 2018 Winter Simulation Conference: Simulation for a Noble Cause. Institute of Electrical and Electronics Engineers Inc., p. 1981-1992 12 p. 8632297. (Proceedings - Winter Simulation Conference; vol. 2018-December).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Data-driven parameter calibration in wake models

    Liu, B., Byon, E. & Plumlee, M., Jan 1 2018, Wind Energy Symposium. 210029 ed. American Institute of Aeronautics and Astronautics Inc, AIAA, (Wind Energy Symposium, 2018; no. 210029).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution