• 124 Citations
  • 6 h-Index
20142021
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Fingerprint Dive into the research topics where Hao Yan is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Process monitoring Engineering & Materials Science
Monitoring Engineering & Materials Science
Decomposition Engineering & Materials Science
Tensors Engineering & Materials Science
Process Modeling Mathematics
Degradation Engineering & Materials Science
Raman spectroscopy Engineering & Materials Science
Tensor Mathematics

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Research Output 2014 2020

  • 124 Citations
  • 6 h-Index
  • 13 Article
  • 3 Conference contribution
  • 1 Paper

Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data

Gahrooei, M. R., Yan, H., Paynabar, K. & Shi, J., Jan 1 2020, (Accepted/In press) In : Technometrics.

Research output: Contribution to journalArticle

Process Modeling
Tensors
Tensor
Regression
Scalar

AKM2D: An adaptive framework for online sensing and anomaly quantification

Yan, H., Paynabar, K. & Shi, J., Jan 1 2019, (Accepted/In press) In : IISE Transactions.

Research output: Contribution to journalArticle

Sampling
Inspection
Coordinate measuring machines
Guided electromagnetic wave propagation
Ultrasonics

Image-based process monitoring via adversarial autoencoder with applications to rolling defect detection

Yan, H., Yeh, H. M. & Sergin, N., Aug 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019. IEEE Computer Society, p. 311-316 6 p. 8843313. (IEEE International Conference on Automation Science and Engineering; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Process monitoring
Statistics
Monitoring
Defect detection
Real time systems
Degradation
Throughput
Markov processes
Productivity

Physics-based deep spatio-temporal metamodeling for cardiac electrical conduction simulation

Yan, H., Zhao, X., Hu, Z. & Du, D., Aug 2019, 2019 IEEE 15th International Conference on Automation Science and Engineering, CASE 2019. IEEE Computer Society, p. 152-157 6 p. 8842902. (IEEE International Conference on Automation Science and Engineering; vol. 2019-August).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Physics
Tissue
Partial differential equations
Neural networks
Fibers

Projects 2018 2021