Rehan received his bachelors degree in Computer Engineering from University of Engineering and Technology Taxila, Pakistan in 2008 and Masters degree in Biomedical Engineering from University of Boras, Sweden in 2010.
In his Masters final project, he developed a textile sensor based wireless sweat detection device for hemodialysis patients. Based on this work, he was awarded the Best Poster Presentation Award 2009-10 from Universiy of Boras. After completing his Masters in August 2010, he was invited to do research on the binaural hearing aids in Department of Signal Theory and Communication, University of Alcala, Spain on the European Training Scholarship, awarded by the University of Boras in 2010-11 and Industrial Scholarship in 2011 by University of Alcala.
Currently (Sep 2011- present) he is working towards his Ph.D. degree as a SFI scholar in Neonatal Brain Research Group, University College Cork, Ireland under the Supervision of Dr. Gordon Lightbody.
Biomedical Signal Processing, Neonatal Seizure detection, Machine Learning, Dynamic Classifiers, Support Vector Machines
“Pattern Recognition Systems for Continuous Neurological Monitoring in Neonates"
Dr Gordon Lightbody
Gordon Lightbody graduated first in his class with the MEng degree (distinction) (1989), and then PhD (1993) both in Electrical and Electronic Engineering from Queen's University Belfast. After completing a one year post-doctoral position funded by Du Pont, he was appointed by Queen's University as a Lecturer in Modern Control Systems. At Queens, his research focused primarily on the application of intelligent control, system identification and fault detection/diagnosis to the chemical process industry.
In 1997 he was appointed as a Lecturer in Control Engineering at University College Cork, and subsequently promoted to Senior Lecturer in 2008. His current research focuses on the application of intelligent control techniques to key application areas, which include; biomedical applications, wind and wave power, power system control and harmonic analysis, and chemical process control. In the past six years, he has been awarded in excess of €5.5M of research funding. He has published over 135 peer-reviewed papers in these areas and has received prizes at ACC 1995 in Seattle, IEE Control 1994 in Warwick England and an honourable mention at the IFAC World Congress in San Francisco, 1996. His H index (according to Google Scholar) is currently 20.
Gordon's full IRIS profile is here:
Dr Liam Marnane
Dr William Marnane BE, DPhil (Oxford)(D.S.P.), MIEEE, AMIEE
Liam Marnane received the B.E. degree in electrical engineering from University College Cork in 1984 and the D.Phil degree from University of Oxford in 1989 studying test vector generation and design for test of VLSI designs. He was a lecturer in VLSI design at the School of Electronic Engineering Science, University of Wales, Bangor from 1989 to 1993. In 1992 he was a Visiting Researcher and Marie Cure Fellow at the Institute de Recherche en Informatique et Systemes Aleatoires, at the University of Rennes, France. In 1993 he was appointed as lecturer in Digital Signal Processing in the Department of Electrical & Electronic Engineering at University College Cork and as senior lecturer in 1999. In 1999 he was a visiting researcher to the Electronic Devices Research Group, Department of Physics, University of Linköping. He has been awarded the "Giner de Los Ríos" Visiting Research Fellowship of the University of Alcalá, Madrid, Spain, for 2007. His research interests include Biomedical Signal Processing and digital design for DSP, coding and cryptography. He is a member of the IEEE.
Liam's full IRIS profile is here:
Dr Keelin Murphy
Sunil Belur Nagaraj
Dr Keelin Murphy is a post-doctoral researcher on a fellowship from the Irish Research Council. She obtained her PhD from the University Medical Centre, Utrecht, The Netherlands, in 2011. Her thesis focused on automated medical image analysis, specifically nodule detection and intra-patient registration in thoracic CT. Her current project focuses on automatic interpretation of MRI scans of neonates with hypoxic ischemic encephalopathy (HIE).
Read more »
Dr Nathan Stevenson
Sunil Belur Nagaraj received his B. Eng (2006) degree in Electrical and Electronics from M S Ramaiah Institute of Technology , Bangalore, India. Later, he received M. Eng. (2010) degree in Electrical and Computer Engineering from University of Victoria, Canada. Currently he is pursuing his Doctoral studies (PhD) in University College Cork, Ireland under the guidance of Prof. Gordon Lightbody, Prof. William Marnane and Prof. Geraldine Boylan in Neonatal Brain Research Group. More details about the project can be found here (youtube link).
Dr Nathan Stevenson's research involves the analysis of neonatal brain waves using advanced signal processing techniques. I am using the computer to automate the decision making process of an experienced neurophysiologist. The automation of this decision making process provides the experience of a trained neurophysiologist, around the clock, to clinical settings that may not have such access. Automation of neonatal brain wave analysis also has the potential to be applied when long periods of data must be considered (for prognosis) or when the speed of a decision is crucial (for diagnosis).
Dr Andriy Temko
IRIS profile can be found here:research.ucc.ie/profiles/c005/nstevenson/Home
Dr John O'Toole
Andriy Temko is a senior postdoctoral researcher in Neonatal Brain
Research Group working on machine learning algorithms for EEG
processing in automated newborn monitoring. He has a PhD in
Telecommunication Signal Processing from Universitat Politecnica de
Catalunya, Barcelona, Spain. His research primarily spanned around
detection of events of interest in various signals, such as acoustic
events in audio signals, speech activity detection, seizures in
neonatal EEG, epileptiforms in adult EEG, allergy reaction in
pediatric ECG, etc. He has been involved in several EU and national
governments funded projects on audio/speech and biomedical signal
IRIS profile is here:
Google Scholar profile is here:
Senior Postdoctoral Researcher
John M. O' Toole received the B.E. (1997) and M.Eng.Sc. (2000) degrees from the University College Dublin, Ireland, and the Ph.D. (2009) degree from the University of Queensland, Australia. His Ph.D. thesis received the Dean's award for outstanding research in 2010. Prior to Ph.D. study, he worked in industry (2001-2003) as a consultant engineer in control systems and as a research assistant (2003-2005) at the Signal Processing Research Centre in the Queensland University of Technology, Australia.
His postdoctoral research has included topics in signal processing and biomedical applications at the Centre for Clinical Research (2008-2010), University of Queensland, Australia; DeustoTech-eLIFE Group (2011-2013), University of Deusto, Spain; and from 2013 on at the Neonatal Brain Research Group, now part of INFANT, at University College Cork, Ireland.
Research interests include time-frequency signal analysis, discrete-time signal processing, efficient algorithm design, and biomedical signal analysis. Papers and computer code can be found at http://otoolej.github.io/.
T: +353 21 4205940
Dr Cillian O'Driscoll
Cillian O'Driscoll completed his PhD studies in Electrical Engineering in UCC in 2006 on the subject of performance analysis of the acquisition of weak GPS signals. From 2007 to 2010 he was a senior research engineer in the Position, Location And Navigation (PLAN) group at the University of Calgary in Canada. In Calgary his research focussed on high sensitivity Global Navigation Satellite System (GNSS) receiver design, integration of GNSS and Inertial sensors and the development of real-time software GNSS receivers.
From 2011 to 2013 he was with the European Commission, first as a researcher at the Joint Research Centre in Ispra, Italy then as a Policy Officer with the European Satellite Navigation Programmes Directorate in Brussels. He returned to UCC in January 2014 to take up a position as a research support officer in the Irish Centre for Fetal and Neonatal Translational Research (INFANT) centre.