Maynooth University Department of Electronic Engineering
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Electrohysterogram Data Augmentation Using Generative Adversarial Network for Pregnancy Outcome Prediction
Detecting preterm birth early is crucial but challenging. Our latest research uses advanced AI (Generative Adversarial Networks) to create highly realistic synthetic uterine electrical signals (EHG). This overcame data limitations, allowing our machine learning model to distinguish between term and preterm pregnancies with 98% accuracy. This breakthrough paves the way for more reliable, non-invasive tools to improve pregnancy monitoring and outcomes.
Date: Monday, 28 April 2025
ESB Science Blast
Department of Electronic Enginering Champions STEM Learning at ESB Science Blast 2025
Date: Tuesday, 18 March 2025
Journal Progress in Materials Science
The department is happy to share a new publication in the Journal Progress in Materials Science by Dr Jahan Zeb Gul (Impact Factor: 33.6), a highly competitive journal with an acceptance rate of less than 20% (after desk acceptance).
Date: Monday, 24 February 2025
MU welcomes young scientists to celebrate Science Night
Maynooth University welcomed young scientists to its annual Science Night, opening its doors to hundreds of families from across the region.
Date: Monday, 18 November 2024
MU and Irish Distillers' robotics project aims to revolutionise tillage farming
Maynooth University and Irish Distillers are partnering on a pilot research project to develop an autonomous regenerative agriculture platform through robotics and sensing solutions, to improve the sustainability of cereal crop production.
Date: Thursday, 31 October 2024
Scholarships
E+H Scholarship and W.A Barrett Scholarship Opportunities
Date: Monday, 21 October 2024
IEEE Day Celebration at Maynooth University
As part of the IEEE Day celebration, the IEEE MU Student Branch executive committee conducted an IEEE recruitment drive.
Date: Monday, 21 October 2024
23 MU researchers listed in World’s Top 2% Scientists Rankings
Maynooth University is strongly represented in the World’s Top 2% Scientist Rankings. This year, 23 researchers are recognised as leading experts in their fields in the rankings produced by Stanford University scientists in cooperation with publisher Elsevier BV and the SciTech Strategies Inc, based on Scopus data.
Date: Wednesday, 02 October 2024
