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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Dive into the research topics where Daniel Apley is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants
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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
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Apley for SP0057422
Advanced Research Projects Agency - Energy
4/28/20 → 4/27/22
Project: Research project
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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
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Collaborative Research: Model-Based Multidisciplinary Dynamic Decisions in Design
9/1/15 → 8/31/19
Project: Research project
Research Output
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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 › peer-review
6 Scopus citations -
A mode tracking method in modal metamodeling for structures with clustered eigenvalues
Lu, J., Tang, J., Apley, D. W., Zhan, Z. & Chen, W., Sep 1 2020, In: Computer Methods in Applied Mechanics and Engineering. 369, 113174.Research output: Contribution to journal › Article › peer-review
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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 › peer-review
Open Access4 Scopus citations -
Density Deconvolution With Additive Measurement Errors Using Quadratic Programming
Yang, R., Apley, D. W., Staum, J. & Ruppert, D., Jul 2 2020, In: Journal of Computational and Graphical Statistics. 29, 3, p. 580-591 12 p.Research output: Contribution to journal › Article › peer-review
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Fully-sequential space-filling design algorithms for computer experiments
Shang, B. & Apley, D. W., 2020, (Accepted/In press) In: Journal of Quality Technology.Research output: Contribution to journal › Article › peer-review