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| Sean McLoone |
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| National University of Ireland Maynooth, Dublin |
| Regular Member |
| Personal Web Site: |
| Main page: http://www.mirlabs.net/global/index.php?c=main&a=person&id=91 |
| Short Biography |
| Dr. Sean McLoone received his third level education at Queen's University Belfast, where he was awarded a Master of Engineering Degree with Distinction in Electrical and Electronic Engineering in 1992, a PhD in Control Engineering in 1996 and a Postgraduate Certificate in Higher Education Teaching in 2000. Following appointments as a postdoctoral research fellow (1996-1997) and as a Lecturer (1998-2002) at Queen's University Belfast he joined the Department of Electronic Engineering at the National University of Ireland Maynooth, where he is currently Senior Lecturer and Head of Department. He is also an Honorary Senior Research Fellow in the Intelligent Systems and Control Research Group at Queen's University Belfast. At a professional level, Dr. McLoone is a Chartered Engineer, a Senior Member of the IEEE and Past Chairman of the UK and Republic of Ireland (UKRI) Section of the IEEE. He is also a Member of the Accreditation Board of Engineers Ireland, Treasurer of the Irish Systems and Control Committee (Ireland's NMO for IFAC) and a Member of the IFAC Technical Committee on Cognition and Control. Dr. McLoone's research interests lie in the general area of data based modelling and analysis of dynamical systems. This encompasses techniques ranging from classical system identification, fault diagnosis and statistical process control to modern artificial intelligence inspired adaptive learning algorithms and optimisation techniques. Current research activities include data analysis and signal processing for in-home health monitoring and assisted living technologies, algorithms for unsupervised sparse feature selection with application to large semiconductor manufacturing and geospatial data sets and virtual metrology for semiconductor manufacturing. His research has a strong application focus, with many projects undertaken in collaboration with industry in areas such as process monitoring, control and optimisation, time series prediction and in-line sensor characterisation. |
| List of top 5 publications in the last 5 years |
| List of top 5 academic activities during the last 5 years |