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Daniel Apley

  • 2168 Citations
1994 …2020

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

Apley for SP0057422

Apley, D.

Advanced Research Projects Agency - Energy

4/28/20 → 4/27/22

Project: Research project

    • Adaptive Discovery and Mixed-Variable Optimization of Next Generation Synthesizable Microelectronic Materials

    Apley, D., Chen, W. & Rondinelli, J. M.

    Advanced Research Projects Agency - Energy

    4/28/20 → 4/27/22

    Project: Research project

    • 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

    • Research Output

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

    Zhang, Y., Tao, S., Chen, W. & Apley, D. W., Jul 2 2020, In : Technometrics. 62, 3, p. 291-302 12 p.

    Research output: Contribution to journal › Article

    • 3 Scopus citations

    Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables

    Zhang, Y., Apley, D. W. & Chen, W., Dec 1 2020, In : Scientific reports. 10, 1, 4924.

    Research output: Contribution to journal › Article

    Open Access

    • Density Deconvolution With Additive Measurement Errors Using Quadratic Programming

    Yang, R., Apley, D. W., Staum, J. C. & Ruppert, D., Jan 1 2020, (Accepted/In press) In : Journal of Computational and Graphical Statistics.

    Research output: Contribution to journal › Article

    • Fully-sequential space-filling design algorithms for computer experiments

    Shang, B. & Apley, D. W., Jan 1 2020, (Accepted/In press) In : Journal of Quality Technology.

    Research output: Contribution to journal › Article

    • spc4sts: Statistical process control for stochastic textured surfaces in R

    Bui, A. T. & Apley, D. W., Jan 1 2020, (Accepted/In press) In : Journal of Quality Technology.

    Research output: Contribution to journal › Article