World's Best Scientists 2026 revealed!

Overview

A.J. Morris was affiliated with the University of Newcastle Australia in Australia. Their research contributed to the scientific community primarily through publications in specialized journals. The available record shows involvement in dairy science research.

They authored a paper titled A Study of Delayed Gas Formation in Cheddar Cheese, published in 2021 in the Journal of Dairy Science. This publication has been cited in subsequent literature, indicating some engagement from the academic community.

  • M. E. Oldham

Their frequent coauthor was M. E. Oldham, with whom they collaborated on at least one study. The ongoing partnership with this colleague suggests a focused research interest within a shared domain.

  • Journal of Dairy Science

The Journal of Dairy Science was the primary venue for their published work, confirming their area of expertise in dairy-related research topics.

Best Publications

  • Non-parametric confidence bounds for process performance monitoring charts☆

    E.B. Martin;A.J. Morris

  • Artificial neural networks in process engineering

    M.J. Willis;C. Di Massimo;G.A. Montague;M.T. Tham

  • Artificial neural networks in process estimation and control

    M. J. Willis;G. A. Montague;C. Di Massimo;M. T. Tham

  • Non-linear projection to latent structures revisited: the quadratic PLS algorithm

    G. Baffi;E.B. Martin;A.J. Morris

  • Soft-sensors for process estimation and inferential control

    Ming T. Tham;Gary A. Montague;A. Julian Morris;Paul A. Lant

  • Non-linear projection to latent structures revisited (the neural network PLS algorithm)

    G. Baffi;E.B. Martin;A.J. Morris

  • Process performance monitoring using multivariate statistical process control

    E.B. Martin;A.J. Morris;J. Zhang

  • Adaptive multivariate statistical process control for monitoring time-varying processes

    Sang Wook Choi;Elaine B. Martin;and A. Julian Morris;In-Beum Lee†

  • Artificial Neural Networks - Studies in-Process Modeling and Control

    Morris Aj;Montague Ga;Willis Mj

  • Statistical performance monitoring of dynamic multivariate processes using state space modelling

    A. Simoglou;E.B. Martin;A.J. Morris

  • Inferential Estimation of Polymer Quality Using Stacked Neural Networks

    J. Zhang;E.B. Martin;A.J. Morris;C. Kiparissides

  • A sequential learning approach for single hidden layer neural networks

    Jie Zhang;A. J. Morris

  • Fuzzy neural networks for nonlinear systems modelling

    J. Zhang;A.J. Morris

  • Towards improved penicillin fermentation via artificial neural networks

    C. Di Massimo;G.A. Montague;M.J. Willis;M.T. Tham

  • Performance monitoring of a multi-product semi-batch process

    S Lane;E.B Martin;R Kooijmans;A.J Morris

  • Prediction of polymer quality in batch polymerisation reactors using robust neural networks

    J. Zhang;A.J. Morris;E.B. Martin;C. Kiparissides

  • Wavelets and non-linear principal components analysis for process monitoring

    R Shao;F Jia;E.B Martin;A.J Morris

  • Non-linear principal components analysis for process fault detection

    F. Jia;E.B. Martin;A.J. Morris

  • Process monitoring using non-linear statistical techniques

    J Zhang;E.B Martin;A.J Morris

  • Fault detection based on a maximum-likelihood principal component analysis (PCA) mixture

    Sang Wook Choi;Elaine B. Martin;A. Julian Morris;In-Beum Lee

Frequent Co-Authors

Costas Kiparissides
Costas Kiparissides Aristotle University of Thessaloniki
Alan C. Ward
Alan C. Ward Newcastle University
Sukhbinder Kumar
Sukhbinder Kumar Newcastle University
Paul Lant
Paul Lant University of Queensland
Panos Seferlis
Panos Seferlis Aristotle University of Thessaloniki

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Best Scientists Citing A.J. Morris