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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.

  • 3 Similar Profiles
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

Photonics
Testbeds
Costs
Coatings
Photonic devices
Testbeds
Photonics
Costs
Coatings
Photonic devices
Aerospace engineering
Testbeds
Propulsion
Physics
Decision making
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 journalArticle

Categorical variable
Metamodeling
Computer Experiments
Gaussian distribution
Latent Variables
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 journalArticle

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 journalArticle

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 journalArticle

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 journalArticle

Principal Component Analysis
Principal component analysis
Observation