Grants per year
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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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Apley for SP0057422
Advanced Research Projects Agency - Energy
4/28/20 → 11/30/22
Project: Research project
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Adaptive Discovery and Mixed-Variable Optimization of Next Generation Synthesizable Microelectronic Materials
Chen, W., Apley, D. & Rondinelli, J. M.
Advanced Research Projects Agency - Energy
4/28/20 → 11/30/22
Project: Research project
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Targeted Healthcare Engineering for Systems Interventions in Stroke (THESIS)
Maas, M. B., Richards, C. T., Ankenman, B. E., Apley, D., Maas, M. B. & Perry, O.
University of Chicago, Agency for Healthcare Research and Quality
9/30/19 → 9/29/22
Project: Research project
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Collaborative Research: Model-Based Multidisciplinary Dynamic Decisions in Design
9/1/15 → 8/31/19
Project: Research project
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Pilot implementation of opioid stewardship measures using the national surgical quality improvement program-pediatric platform
Ingram, M. C. E., Tian, Y., Kennedy, S., Schäfer, W. L. A., Johnson, J. K., Apley, D. W., Mehrotra, S., Holl, J. L. & Raval, M. V., Sep 2022, In: Journal of pediatric surgery. 57, 9, p. 130-136 7 p.Research output: Contribution to journal › Article › peer-review
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Robust monitoring of stochastic textured surfaces
Bui, A. T. & Apley, D. W., 2022, In: International Journal of Production Research. 60, 16, p. 5071-5086 16 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Scalable Gaussian Processes for Data-Driven Design Using Big Data With Categorical Factors
Wang, L., Yerramilli, S., Iyer, A., Apley, D., Zhu, P. & Chen, W., Feb 2022, In: Journal of Mechanical Design, Transactions of the ASME. 144, 2, 021703.Research output: Contribution to journal › Article › peer-review
2 Scopus citations -
Analyzing Nonparametric Part-to-Part Variation in Surface Point Cloud Data
Bui, A. T. & Apley, D. W., 2021, (Accepted/In press) In: Technometrics.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Bias-corrected Estimation of the Density of a Conditional Expectation in Nested Simulation Problems
Yang, R., Kent, D., Apley, D. W., Staum, J. & Ruppert, D., Oct 2021, In: ACM Transactions on Modeling and Computer Simulation. 31, 4, 22.Research output: Contribution to journal › Article › peer-review