Grants per year
Personal profile
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
Fingerprint 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.
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Statistical process control
Engineering & Materials Science
Principal component analysis
Engineering & Materials Science
Gaussian Process
Mathematics
Calibration
Engineering & Materials Science
Model Uncertainty
Mathematics
Identifiability
Mathematics
Uncertainty
Mathematics
Model Calibration
Mathematics
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Grants 2003 2022
Apley -Stochastic Self-Consistent Clustering Theory for Composite Performance Prediction: from extreme value microstructure attributes to design of interphase for toughness
Duke University, Air Force Office of Scientific Research
9/30/18 → 9/29/22
Project: Research project
Toughness
Microstructure
Composite materials
Polymer matrix composites
Defects
Testbeds
Photonics
Costs
Coatings
Photonic devices
SNM: Robust Scalable Nanomanufacturing of Photonic Structures
8/15/15 → 7/31/20
Project: Research project
Photonics
Testbeds
Costs
Coatings
Photonic devices
Collaborative Research: Model-Based Multidisciplinary Dynamic Decisions in Design
9/1/15 → 8/31/19
Project: Research project
Aerospace engineering
Testbeds
Propulsion
Physics
Decision making
An Optimal Design of Experiments Approach for Reliable Risk Assessment with Error-prone Electronic Medical Records
9/1/14 → 8/31/18
Project: Research project
Electronic Health Records
International Classification of Diseases
Databases
Sudden Cardiac Death
Statistical Models
Research Output 1994 2019
A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors
Zhang, Y., Tao, S., Chen, W. & Apley, D., Jan 1 2019, (Accepted/In press) In : Technometrics.Research output: Contribution to journal › Article
Latent Variables
Process Modeling
Parameterization
Covariance matrix
Gaussian Process
1
Citation
(Scopus)
An exploratory analysis approach for understanding variation in stochastic textured surfaces
Bui, A. T. & Apley, D., Sep 1 2019, In : Computational Statistics and Data Analysis. 137, p. 33-50 18 p.Research output: Contribution to journal › Article
Exploratory Analysis
Dissimilarity
Quality Control
Quality control
Dissimilarity Measure
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
Quality control
Surface measurement
Specifications
Wealth
Dimensionality
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
Aerodynamics
Calibration
Vortex flow
Geometry
Projection-free kernel principal component analysis for denoising
Bui, A. T., Im, J. K., Apley, D. & Runger, G. C., Sep 10 2019, In : Neurocomputing. 357, p. 163-176 14 p.Research output: Contribution to journal › Article
Principal Component Analysis
Principal component analysis
Observation