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Daniel Apley

  • 2052 Citations
1994 …2022

Research output per year

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Personal profile

Research Interests

Statistical modeling and analysis of engineering and industrial systems; statistical learning and predictive analytics; quality engineering and six sigma; manufacturing process diagnosis and control.

Education/Academic qualification

Mechanical Engineering, PhD, University of Michigan

… → 1997

Electrical Engineering, MS, University of Michigan

… → 1995

Mechanical Engineering, MS, University of Michigan

… → 1992

Mechanical Engineering, BS, University of Michigan

… → 1990

Research interests

  • Manufacturing process diagnosis and control
  • Quality engineering and Qix sigma
  • Statistical learning and data mining
  • Statistical modeling and analysis of engineering systems

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Grants

Targeted Healthcare Engineering for Systems Interventions in Stroke (THESIS)

Ankenman, B. E., Apley, D., Maas, M. B. & Perry, O.

University of Chicago, Agency for Healthcare Research and Quality

9/30/19 → 9/30/20

Project: Research project

    • Apley -Stochastic Self-Consistent Clustering Theory for Composite Performance Prediction: from extreme value microstructure attributes to design of interphase for toughness

    Apley, D.

    Duke University, Air Force Office of Scientific Research

    9/30/18 → 9/29/22

    Project: Research project

    • Daniel Apley - Subproject for Institution # SP0032077

    Apley, D.

    National Science Foundation

    8/15/15 → 7/31/20

    Project: Research project

    • SNM: Robust Scalable Nanomanufacturing of Photonic Structures

    Apley, D., Chen, W. & Sun, C.

    National Science Foundation

    8/15/15 → 7/31/20

    Project: Research project

    • Collaborative Research: Model-Based Multidisciplinary Dynamic Decisions in Design

    Apley, D. & Chen, W.

    National Science Foundation

    9/1/15 → 8/31/19

    Project: Research project

    • Research Output

    A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors

    Zhang, Y., Tao, S., Chen, W. & Apley, D. W., Jan 1 2019, (Accepted/In press) In : Technometrics.

    Research output: Contribution to journal › Article

    • 3 Scopus citations

    An exploratory analysis approach for understanding variation in stochastic textured surfaces

    Bui, A. T. & Apley, D. W., Sep 2019, In : Computational Statistics and Data Analysis. 137, p. 33-50 18 p.

    Research output: Contribution to journal › Article

    • 2 Scopus citations

    Identifying and visualizing part-to-part variation with spatially dense optical dimensional metrology data

    Shi, Z., Apley, D. & Runger, G. C., Jan 1 2019, In : Journal of Quality Technology. 51, 1, p. 3-20 18 p.

    Research output: Contribution to journal › Article

    • Input mapping for model calibration with application to wing aerodynamics

    Tao, S., Apley, D., Chen, W., Garbo, A., Pate, D. J. & German, B. J., Jan 1 2019, In : AIAA journal. 57, 7, p. 2734-2745 12 p.

    Research output: Contribution to journal › Article

    • Projection-free kernel principal component analysis for denoising

    Bui, A. T., Im, J. K., Apley, D. W. & Runger, G. C., Sep 10 2019, In : Neurocomputing. 357, p. 163-176 14 p.

    Research output: Contribution to journal › Article