Our international community of researchers.
Our multi-disciplinary team of researchers working with the Principal Investigators to implement the INFANT research programme of cutting-edge innovations and world-first technologies.
Rehan's research interests include but are not limited to: exploring structural and temporal information in neonatal EEG, Classification of neonatal EEG, Dynamic kernels for Support vector machines, Machine learning, Statistical bio-medical signal processing.
Co-investigator on PiNPoiNT
Ann-Marie is currently a co-investigator on PiNPoiNT, Personalised Nutrition for the Preterm Infant, which is a Science Foundation Ireland-funded study that will devise and implement digital systems for real-time monitoring of nutritional support in preterm infants.
Software Research Engineer
Denis has designed, developed, tested and validated all of the software that makes up the ANSeR system. Denis has written all of the software documents required for the ANSeR Quality Management System (QMS) which has resulted in the product being validated by the relevant competent authorities in Ireland, the UK and Europe. Denis has helped integra...
Clinical Research Fellow
Deirdre is currently undertaking an MD in the area of Placental Growth Factor.
Will is currently working as a medical doctor in the South Training Network of Ireland. He also maintains his research interest at INFANT in EEG, seizure detection in preterm infants, NIRS in preterm infants, technology and its clinical applications, probiotics and cognition. Will has published and presented his work at national and ...
Researcher LEANBH Project
Currently working on the LEANBH project: Learning to Evaluate Blood Pressure at Home
Cathal is a Co-Investigator of the HRB-funded DIVINE study; “Dysfunctional mItochondria proVokes Inflammation iN prEeclampsia”
Keelin is a postdoctoral researcher in the INFANT Centre. Keelin is interested in the developments of automatic methods of analysis for neonatal electroencephalography (EEG) and magnetic resonance imaging (MRI) and the application of these to predicting eligibility for therapy and long term outcome.