World's Best Scientists 2026 revealed!
Gordon Lightbody

Gordon Lightbody

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
7493
World Ranking
6154
National Ranking
27

Overview

Gordon Lightbody is affiliated with University College Cork in Ireland and has an extensive research portfolio primarily focused on medicine and neuroscience. Their research encompasses pediatric and perinatal health, cognitive neuroscience, pulmonary and respiratory medicine, biomedical engineering, and signal processing.

The scientist's primary topics of study include neonatal and fetal brain pathology, EEG and brain-computer interfaces, neonatal respiratory health research, non-invasive vital sign monitoring, birth, development, and health, infant development and preterm care, and blind source separation techniques.

Lightbody has published research in several notable venues, including arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), Pediatric Research, the 2021 29th European Signal Processing Conference (EUSIPCO), and the International Journal of Neural Systems.

Recent papers authored or co-authored by Lightbody include:

  • Deep Learning for EEG Seizure Detection in Preterm Infants, 2020, International Journal of Neural Systems
  • Grading hypoxic-ischemic encephalopathy in neonatal EEG with convolutional neural networks and quadratic time-frequency distributions, 2021, Journal of Neural Engineering
  • Neonatal EEG graded for severity of background abnormalities in hypoxic-ischaemic encephalopathy, 2023, Scientific Data
  • Prediction of 2-Year Cognitive Outcomes in Very Preterm Infants Using Machine Learning Methods, 2023, JAMA Network Open
  • Temporal evolution of electrographic seizures in newborn infants with hypoxic-ischaemic encephalopathy requiring therapeutic hypothermia: a secondary analysis of the ANSeR studies, 2024, The Lancet Child & Adolescent Health

Frequent co-authors collaborating with Lightbody include:

  • Geraldine B. Boylan
  • William P. Marnane
  • Sean Mathieson
  • John M. O'Toole
  • Sumit A. Raurale

Best Publications

  • Modeling of the wind turbine with a doubly fed induction generator for grid integration studies

    Yazhou Lei;A. Mullane;G. Lightbody;R. Yacamini

  • EEG-based neonatal seizure detection with Support Vector Machines.

    A. Temko;E. Thomas;W. Marnane;G. Lightbody

  • Wind-turbine fault ride-through enhancement

    A. Mullane;G. Lightbody;R. Yacamini

  • A comparison of quantitative EEG features for neonatal seizure detection.

    B.R. Greene;S. Faul;W.P. Marnane;G. Lightbody

  • Maximisation of Energy Capture by a Wave-Energy Point Absorber using Model Predictive Control

    Julien A. M. Cretel;Gordon Lightbody;Gareth P. Thomas;Anthony W. Lewis

  • Smart transactive energy framework in grid-connected multiple home microgrids under independent and coalition operations

    Mousa Marzband;Mousa Marzband;Fatemeh Azarinejadian;Mehdi Savaghebi;Edris Pouresmaeil

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

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

  • 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

  • An advanced retail electricity market for active distribution systems and home microgrid interoperability based on game theory

    Mousa Marzband;Masoumeh Javadi;S. Ali Pourmousavi;Gordon Lightbody

  • Neonatal seizure detection from raw multi-channel EEG using a fully convolutional architecture

    Alison O'Shea;Alison O'Shea;Gordon Lightbody;Gordon Lightbody;Geraldine B. Boylan;Geraldine B. Boylan;Andriy Temko;Andriy Temko

  • An evaluation of automated neonatal seizure detection methods

    Stephen Faul;Geraldine Boylan;Sean Connolly;Liam Marnane

  • Performance assessment for EEG-based neonatal seizure detectors

    A. Temko;E. Thomas;W. Marnane;G. Lightbody

  • Power system harmonic analysis using the Kalman filter

    K. Kennedy;G. Lightbody;R. Yacamini

  • Nonlinear Internal Model Control using Local Model Networks

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

  • Framework for smart transactive energy in home-microgrids considering coalition formation and demand side management

    Mousa Marzband;Mohammad Hossein Fouladfar;Mudathir Funsho Akorede;Gordon Lightbody

  • RBF principal manifolds for process monitoring

    D.J.H. Wilson;G.W. Irwin;G. Lightbody

  • Nonlinear system identification: From multiple-model networks to Gaussian processes

    Gregor Gregorčič;Gordon Lightbody

  • Gaussian process approach for modelling of nonlinear systems

    Gregor Gregorčič;Gordon Lightbody

  • Gaussian Process Modeling of EEG for the Detection of Neonatal Seizures

    S. Faul;G. Gregorcic;G. Boylan;W. Marnane

  • Annual international conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2010

    Orla Doyle;A Temko;D M Murray;G Lightbody

  • Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE

    Orla Doyle;B R Greene;D Murray;L Marnane

Frequent Co-Authors

Geraldine B. Boylan
Geraldine B. Boylan University College Cork
William P. Marnane
William P. Marnane University College Cork
George W. Irwin
George W. Irwin Queen's University Belfast
Mousa Marzband
Mousa Marzband Northumbria University
Rudy R. Negenborn
Rudy R. Negenborn Delft University of Technology
Seán McLoone
Seán McLoone Queen's University Belfast
Bart De Schutter
Bart De Schutter Delft University of Technology
Edris Pouresmaeil
Edris Pouresmaeil Aalto University
B. De Schutter
B. De Schutter Delft University of Technology
Emanuel Popovici
Emanuel Popovici University College Cork

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Gordon Lightbody

Trending Scientists

Recently Published Articles