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Personal profile

Particulars

Seán McLoone received his third level education at Queen's University Belfast (QUB), 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 Lecturer at QUB (1998-2002) he joined the Department of Electronic Engineering in NUI Maynooth in 2002, where he served as Senior Lecturer (2005-2012) and Head of Department (2009-2012). He returned to QUB in January 2013 to take up his current post as Professor and Director of the Energy Power and Intelligent Control (EPIC) Research Cluster in the School of Electronics, Electrical Engineering and Computer Science. He is also Director of the Centre for Intelligent Autonomous Manufacturing Systems (i-AMS), an interdisciplinary pioneer research programme established in the Faculty of Engineering and Physical Sciences in QUB in 2016.

 

At a professional level, Prof McLoone is a Chartered Engineer, a Senior Member of the IEEE and a Fellow of the IET. He is a Past Chairman of the UK and Republic of Ireland (UKRI) Section of the IEEE.  He is a member of the IFAC Technical Committees on Computational Intelligence in Control (TC3.2), and Modelling, Identification and Signal Processing (TC1.1), a member of IET Academic Accreditation Committee and a past Member of the Accreditation Board of Engineers Ireland.  He is currently an Associate Editor for the Transactions of the Institute of Measurement and Control, and serves on the Editorial Board of Engineering Applications of Artificial Intelligence. He is also serving as UG External Examiner at Dublin Institute of Technology for their Electrical Programmes (2015-2018).

 

Research Interests

Prof McLoone’s research interests are in the general area of intelligent systems with a particular focus on 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 and biologically inspired adaptive learning algorithms and optimization techniques. His research has a strong application focus, with many projects undertaken in collaboration with industry in areas such as process monitoring, control and optimization, time series prediction and in-line sensor characterization. Current applications are in advanced manufacturing informatics, energy and sustainability.


Prof. McLoone also has an interest in autonomous robotics and was a founding member of Robo Eireann, an inter-disciplinary team of researchers at NUI Maynooth that compete annually in the NAO robot standard platform league of Robocup.



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Projects 2014 2019

Research Output 1994 2019

DeepVM: A Deep Learning-based Approach with Automatic Feature Extraction for 2D Input Data Virtual Metrology

Maggipinto, M., Beghi, A., McLoone, S. & Susto, G. A., 16 Oct 2019, In : Journal of Process Control. 13 p.

Research output: Contribution to journalArticle

Metrology
Feature Extraction
Feature extraction
Complex Structure
Data structures

Induced Start Dynamic Sampling for Wafer Metrology Optimization

Susto, G. A., Maggipinto, M., Zocco, F. & McLoone, S., 31 Jul 2019, In : IEEE Transactions of Automation Science and Engineering. 15 p.

Research output: Contribution to journalArticle

Open Access
File
Sampling
Industrial chemicals
Visibility
Feature extraction
Chemical vapor deposition
Harmonic distortion
Lighting
Electric potential
Reactive power
Electric lamps

Quantification of wind curtailment on a medium-sized power system and mitigation using municipal water pumping load

Davison-Kernan, R., Liu, X., McLoone, S. & Fox, B., 01 Sep 2019, In : Renewable and Sustainable Energy Reviews. 112, p. 499-507

Research output: Contribution to journalArticle

Water
Water supply systems
System stability
Climate change
Wind power

A Dynamic Sampling Approach for Cost Reduction in Semiconductor Manufacturing

Susto, G. A., Maggipinto, M., Zocco, F. & McLoone, S., 15 Mar 2018, (Accepted). 8 p.

Research output: Contribution to conferencePaper

Open Access
File

Prizes

Best Paper Award at 12th International Symposium on web and Wireless GIS, W2GIS 2013

Sean McLoone (Recipient), 05 Apr 2013

Prize: Prize (including medals and awards)

pedestrian
Geographical Information System
Canada

Best student paper prize at ISSC 2014.

Sean McLoone (Recipient), 27 Jun 2014

Prize: Prize (including medals and awards)

honors and awards
Ireland
students
calibration

Visiting Professor, Soochow University

Sean McLoone (Recipient), Sep 2017

Prize: Other distinction

Activities 2005 2019

5th IFAC International Conference on Intelligent Control and Automation Sciences

Seán McLoone (Chair)
2019

Activity: Participating in or organising an event typesParticipation in conference

3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control

Seán McLoone (Participant)
05 Jun 201808 Jun 2018

Activity: Participating in or organising an event typesParticipation in conference

2nd International Symposium on Small-scale Intelligent Manufacturing Systems

Seán McLoone (Keynote/plenary speaker)
16 Apr 201817 Apr 2018

Activity: Participating in or organising an event typesParticipation in conference

15th International Conference on Informatics in Control

Seán McLoone (Member of programme committee)
29 Jul 201831 Jul 2018

Activity: Participating in or organising an event typesParticipation in conference

3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control

Seán McLoone (Member of programme committee)
2018

Activity: Participating in or organising an event typesParticipation in conference

Thesis

Design and Multi-physical Fields Analysis of High Speed Permanent Magnet Machines

Author: Zhang, Y., Sep 2018

Supervisor: McLoone, S. (Supervisor)

Student thesis: Doctoral ThesisDoctor of Philosophy

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