World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
44
Citations
8031
World Ranking
7582
National Ranking
455

Electronics and Electrical Engineering

D-Index
45
Citations
8189
World Ranking
3551
National Ranking
197

Overview

George W. Irwin is affiliated with Queen's University Belfast in the United Kingdom. Their academic profile does not list recent papers, frequent co-authors, publication venues, book publications, fields of study, subfields, topics, or awards, which limits available details on their specific research contributions or collaboration networks.

Irwin's association with Queen's University Belfast indicates a connection to an established academic institution, yet no specific data on research areas or scholarly output are provided. This absence makes it challenging to pinpoint the main scientific focus, thematic interests, or editorial engagement within particular academic journals or conferences.

Without available records of recent publications or co-authors, it is not possible to identify notable collaborations or key contributors in their research endeavors. Similarly, the lack of information on the venues they publish in restricts insights into the scope or reach of their work within scientific communities.

The absence of details on book publications or participation in edited volumes also means that Irwin's contributions to academic literature through longer-format works are not documented here. Likewise, the missing data regarding primary and secondary fields of study leaves the specific disciplines and sub-disciplines they engage with undefined.

There is no explicit mention of main research topics or thematic areas of investigation. Additionally, the profile does not reference any awards or recognitions that would highlight distinctions earned throughout their career.

Based on the provided data, George W. Irwin's profile is characterized by affiliation information without further descriptive elements about their scientific work or academic output.

Best Publications

  • A Review on Improving the Autonomy of Unmanned Surface Vehicles through Intelligent Collision Avoidance Manoeuvres

    Sable Campbell;Wasif Naeem;George Irwin

  • Process monitoring approach using fast moving window PCA

    Xun Wang;Uwe Kruger;George W. Irwin

  • Multiple model bootstrap filter for maneuvering target tracking

    S. McGinnity;G.W. Irwin

  • Model selection approaches for non-linear system identification: a review

    X. Hong;R. J. Mitchell;S. Chen;C. J. Harris

  • A fast nonlinear model identification method

    Kang Li;Jian-Xun Peng;G.W. Irwin

  • COLREGs-based collision avoidance strategies for unmanned surface vehicles

    Wasif Naeem;George W. Irwin;Aolei Yang

  • Neural network applications in control

    G. W. Irwin;Kevin Warwick;K. J. Hunt

  • A hybrid linear/nonlinear training algorithm for feedforward neural networks

    S. McLoone;M.D. Brown;G. Irwin;A. Lightbody

  • A neural network regulator for turbogenerators

    Q.H. Wu;B.W. Hogg;G.W. Irwin

  • Nonlinear control structures based on embedded neural system models

    G. Lightbody;G.W. Irwin

  • Direct neural model reference adaptive control

    G. Lightbody;G.W. Irwin

  • Neural networks for control and systems

    Kevin Warwick;G. W. Irwin;K. J. Hunt

  • Neural Network Engineering in Dynamic Control Systems

    Kenneth J. Hunt;George R. Irwin;Kevin Warwick

  • Intelligent Control and Automation

    De-Shuang Huang;Kang Li;George William Irwin

  • Wireless networked control systems with QoS-based sampling

    J. Colandairaj;George Irwin;William Scanlon

  • Nonlinear PCA With the Local Approach for Diesel Engine Fault Detection and Diagnosis

    Xun Wang;U. Kruger;G.W. Irwin;G. McCullough

  • Improved principal component monitoring of large-scale processes

    Uwe Kruger;Yiqi Zhou;Yiqi Zhou;George W Irwin

  • Nonlinear Internal Model Control using Local Model Networks

    M.D. Brown;G. Lightbody;G.W. Irwin

  • Improving neural network training solutions using regularisation

    Seán Mc Loone;George Irwin

  • A Novel Continuous Forward Algorithm for RBF Neural Modelling

    Jian-Xun Peng;Kang Li;G.W. Irwin

Frequent Co-Authors

Kang Li
Kang Li University of Leeds
Seán McLoone
Seán McLoone Queen's University Belfast
Gordon Lightbody
Gordon Lightbody University College Cork
Uwe Kruger
Uwe Kruger Rensselaer Polytechnic Institute
De-Shuang Huang
De-Shuang Huang Tongji University
Minrui Fei
Minrui Fei Shanghai University
William Scanlon
William Scanlon Tyndall National Institute
Damian Flynn
Damian Flynn University College Dublin
Girijesh Prasad
Girijesh Prasad University of Ulster
Kevin Warwick
Kevin Warwick Coventry University

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