Staff Profiles

Mr Enda Barrett

BSc

Biography

I am currently a Lecturer in the National University of Ireland Galway and am responsible for the delivery of five modules each year which are attended by 400+ students, with subjects ranging from Software Engineering, to web programming and professional skills. I have extensive experience in Machine Learning extending from my Masters right through to my PhD. Upon graduation in 2006, from a BSc in Computer Science, I was invited to join a research team as a research assistant for one year, researching business process analytics solutions. In 2009, I completed a MSc (research) where my thesis contribution was the research and development of machine learning techniques to accurately classify cardiac arrhythmias from 3 lead ECG communicated over a Zigbee wireless sensor network. In 2013, I received my Ph.D. in Computer Science from NUI Galway. My PhD research investigated the application of a subset of machine learning techniques known as reinforcement learning to automate resource allocations and scale applications in infrastructure as a service cloud computing environments. Upon completion of my PhD, I joined Schneider Electric as a research engineer on a globally distributed innovation team. In industry, I worked on projects which included data analytics, linked data (designing enterprise level data integration solutions, ontology design and mapping) and training machine learning classifiers for acoustic event classification (specifically detecting household alarm sounds in the presence of noise). I am currently pursuing research into the application of machine learning techniques in cloud and distributed computing problems in NUI Galway.

Peer Reviewed Journals

	Year	Publication
	(2024)	'A stochastic method for behind-the-meter PV-battery energy storage systems sizing with degradation minimization by limiting battery cycling' Rezaeimozafar, Mostafa and Barrett, Enda and Monaghan, Rory FD and Duffy, Maeve (2024) 'A stochastic method for behind-the-meter PV-battery energy storage systems sizing with degradation minimization by limiting battery cycling'. Journal of Energy Storage, 86 [Details]
	(2024)	'Optimal sizing of behind-the-meter battery energy storage systems under optimal battery operation: A case study in Ireland' Rezaeimozafar, Mostafa and Barrett, Enda and Monaghan, Rory FD and Duffy, Maeve (2024) 'Optimal sizing of behind-the-meter battery energy storage systems under optimal battery operation: A case study in Ireland'. Journal of Energy Storage, 87 [Details]
	(2024)	'DoWNetâ€”classification of Denial-of-Wallet attacks on serverless application traffic' Kelly, Daniel and Glavin, Frank G and Barrett, Enda (2024) 'DoWNetâ€”classification of Denial-of-Wallet attacks on serverless application traffic'. Journal of Cybersecurity, 10 (1) [Details]
	(2024)	'Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms' Shah, Mian Ibad Ali and Barrett, Enda and Mason, Karl (2024) 'Reinforcement Learning Enabled Peer-to-Peer Energy Trading for Dairy Farms'. arXiv preprint arXiv:2405.12716, [Details]
	(2024)	'Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey' Shah, Mian Ibad Ali and Wahid, Abdul and Barrett, Enda and Mason, Karl (2024) 'Multi-agent systems in Peer-to-Peer energy trading: A comprehensive survey'. Engineering Applications of Artificial Intelligence, 132 [Details]
	(2024)	'A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems' Rezaeimozafar, Mostafa and Duffy, Maeve and Monaghan, Rory FD and Barrett, Enda (2024) 'A hybrid heuristic-reinforcement learning-based real-time control model for residential behind-the-meter PV-battery systems'. Applied Energy, 355 [Details]
	(2024)	'Enhancing HVAC control systems through transfer learning with deep reinforcement learning agents' Kadamala, Kevlyn and Chambers, Des and Barrett, Enda (2024) 'Enhancing HVAC control systems through transfer learning with deep reinforcement learning agents'. Smart Energy, 13 [Details]
	(2024)	'Peer-to-peer energy trading in dairy farms using multi-agent systems' Shah, Mian Ibad Ali and Wahid, Abdul and Barrett, Enda and Mason, Karl (2024) 'Peer-to-peer energy trading in dairy farms using multi-agent systems'. Computers and Electrical Engineering, 118 [Details]
	(2024)	'Residential PV-battery scheduling with stochastic optimization and neural network-driven scenario generation' Rezaeimozafar, Mostafa and Duffy, Maeve and Monaghan, Rory FD and Barrett, Enda (2024) 'Residential PV-battery scheduling with stochastic optimization and neural network-driven scenario generation'. Energy Reports, 12 :418-429 [Details]
	(2023)	'DoWTS--Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence' Kelly, Daniel and Glavin, Frank G and Barrett, Enda (2023) 'DoWTS--Denial-of-Wallet Test Simulator: Synthetic data generation for preemptive defence'. Journal of Intelligent Information Systems, 60 (2):325-348 [Details]
	(2022)	'A review of behind-the-meter energy storage systems in smart grids' Rezaeimozafar, Mostafa and Monaghan, Rory FD and Barrett, Enda and Duffy, Maeve (2022) 'A review of behind-the-meter energy storage systems in smart grids'. Renewable and Sustainable Energy Reviews, 164 [Details]
	(2022)	'Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers' Shaw, Rachael and Howley, Enda and Barrett, Enda (2022) 'Applying reinforcement learning towards automating energy efficient virtual machine consolidation in cloud data centers'. Information Systems, 107 [Details]
	(2021)	'Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency' Lissa, Paulo and Schukat, Michael and Keane, Marcus and Barrett, Enda (2021) 'Transfer learning applied to DRL-Based heat pump control to leverage microgrid energy efficiency'. Smart Energy, 3 [Details]
	(2021)	'A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things' Miah, Md Sipon and Schukat, Michael and Barrett, Enda (2021) 'A throughput analysis of an energy-efficient spectrum sensing scheme for the cognitive radio-based Internet of things'. EURASIP Journal on Wireless Communications and Networking, 2021 (1) [Details]
	(2021)	'Recurrent autonomous autoencoder for intelligent DDoS attack mitigation within the ISP domain' Ko, Ili and Chambers, Desmond and Barrett, Enda (2021) 'Recurrent autonomous autoencoder for intelligent DDoS attack mitigation within the ISP domain'. International journal of machine learning and cybernetics, 12 (11):3145-3167 [Details]
	(2021)	'Deep reinforcement learning for home energy management system control' Lissa, Paulo and Deane, Conor and Schukat, Michael and Seri, Federico and Keane, Marcus and Barrett, Enda (2021) 'Deep reinforcement learning for home energy management system control'. Energy and AI, 3 [Details]
	(2021)	'Enhancing the spectrum sensing performance of cluster-based cooperative cognitive radio networks via sequential multiple reporting channels' Hossain, Mohammad Amzad and Schukat, Michael and Barrett, Enda (2021) 'Enhancing the spectrum sensing performance of cluster-based cooperative cognitive radio networks via sequential multiple reporting channels'. Wireless Personal Communications, 116 (3):2411-2433 [Details]
	(2021)	'Denial of walletâ€”defining a looming threat to serverless computing' Kelly, Daniel and Glavin, Frank G and Barrett, Enda (2021) 'Denial of walletâ€”defining a looming threat to serverless computing'. Journal of Information Security and Applications, 60 [Details]
	(2020)	'Feature dynamic deep learning approach for DDoS mitigation within the ISP domain' Ko, Ili and Chambers, Desmond and Barrett, Enda (2020) 'Feature dynamic deep learning approach for DDoS mitigation within the ISP domain'. International Journal of Information Security, 19 :53-70 [Details]
	(2020)	'Self-supervised network traffic management for DDoS mitigation within the ISP domain' Ko, Ili and Chambers, Desmond and Barrett, Enda (2020) 'Self-supervised network traffic management for DDoS mitigation within the ISP domain'. Future Generation Computer Systems, 112 :524-533 [Details]
	(2020)	'Adaptable feature-selecting and threshold-moving complete autoencoder for DDoS flood attack mitigation' Ko, Ili and Chambers, Desmond and Barrett, Enda (2020) 'Adaptable feature-selecting and threshold-moving complete autoencoder for DDoS flood attack mitigation'. Journal of Information Security and Applications, 55 [Details]
	(2020)	'New framework for adaptive and agile honeypots' Dowling, Seamus and Schukat, Michael and Barrett, Enda (2020) 'New framework for adaptive and agile honeypots'. ETRI Journal, 42 (6):965-975 [Details]
	(2020)	'Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things' Miah, Md Sipon and Schukat, Michael and Barrett, Enda (2020) 'Sensing and throughput analysis of a MU-MIMO based cognitive radio scheme for the Internet of Things'. Computer Communications, [DOI] [Details]
	(2020)	'Transfer learning applied to reinforcement learning-based hvac control' Lissa, Paulo and Schukat, Michael and Barrett, Enda (2020) 'Transfer learning applied to reinforcement learning-based hvac control'. SN Computer Science, 1 (3) [Details]
	(2020)	'An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation' Shaw, Rachael and Howley, Enda and Barrett, Enda (2020) 'An intelligent ensemble learning approach for energy efficient and interference aware dynamic virtual machine consolidation'. Simulation Modelling Practice and Theory, 102 [Details]
	(2019)	'A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers' Duggan, Martin and Shaw, Rachael and Duggan, Jim and Howley, Enda and Barrett, Enda (2019) 'A multitime-steps-ahead prediction approach for scheduling live migration in cloud data centers'. Software: Practice and Experience, 49 (4):617-639 [Details]
	(2019)	'An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions' Shaw, Rachael and Howley, Enda and Barrett, Enda (2019) 'An energy efficient anti-correlated virtual machine placement algorithm using resource usage predictions'. Simulation Modelling Practice and Theory, 93 :322-342 [Details]
	(2019)	'Unsupervised learning with hierarchical feature selection for DDoS mitigation within the ISP domain' Ko, Ili and Chambers, Desmond and Barrett, Enda (2019) 'Unsupervised learning with hierarchical feature selection for DDoS mitigation within the ISP domain'. ETRI Journal, 41 (5):574-584 [Details]
	(2018)	'Predicting host CPU utilization in the cloud using evolutionary neural networks' Mason, Karl and Duggan, Martin and Barrett, Enda and Duggan, Jim and Howley, Enda (2018) 'Predicting host CPU utilization in the cloud using evolutionary neural networks'. Future Generation Computer Systems, 86 :162-173 [Details]
	(2018)	'An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things' Miah, Md Sipon and Schukat, Michael and Barrett, Enda (2018) 'An enhanced sum rate in the cluster based cognitive radio relay network using the sequential approach for the future Internet of Things'. Human Centric Computing and Information Sciences, 8 (1) [DOI] [Details]
	(2018)	'Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware' Dowling, Seamus and Schukat, Michael and Barrett, Enda (2018) 'Improving adaptive honeypot functionality with efficient reinforcement learning parameters for automated malware'. Journal of Cyber Security Technology, :75-91 [DOI] [Details]
	(2017)	'A reinforcement learning approach for the scheduling of live migration from under utilised hosts' Duggan, Martin and Duggan, Jim and Howley, Enda and Barrett, Enda (2017) 'A reinforcement learning approach for the scheduling of live migration from under utilised hosts'. Memetic Computing, 9 :283-293 [Details]
	(2017)	'A network aware approach for the scheduling of virtual machine migration during peak loads' Duggan, Martin and Duggan, Jim and Howley, Enda and Barrett, Enda (2017) 'A network aware approach for the scheduling of virtual machine migration during peak loads'. Cluster Computing, 20 :2083-2094 [Details]
	(2017)	'A network aware approach for the scheduling of virtual machine migration during peak loads' Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett (2017) 'A network aware approach for the scheduling of virtual machine migration during peak loads'. Cluster Computing-The Journal Of Networks Software Tools And Applications, [Details]
	(2016)	'A reinforcement learning approach for the scheduling of live migration from under utilised hosts' Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett (2016) 'A reinforcement learning approach for the scheduling of live migration from under utilised hosts'. Memetic Computing, [Details]
	(2016)	'Single system image: A survey' Healy, Philip and Lynn, Theo and Barrett, Enda and Morrison, John P (2016) 'Single system image: A survey'. Journal of Parallel and Distributed Computing, 90 :35-51 [Details]
	(2016)	'Single system image: A survey' Philip Healy, Theo Lynn, Enda Barrett, John P Morrison (2016) 'Single system image: A survey'. Journal Of Parallel And Distributed Computing, [Details]
	(2014)	'A parallel framework for bayesian reinforcement learning' Barrett, Enda and Duggan, Jim and Howley, Enda (2014) 'A parallel framework for bayesian reinforcement learning'. Connection Science, 26 (1):7-23 [Details]
	(2014)	'A parallel framework for Bayesian reinforcement learning' Enda Barrett, Jim Duggan, Enda Howley (2014) 'A parallel framework for Bayesian reinforcement learning'. Connection Science, [Details]
	(2013)	'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud' Barrett, Enda and Howley, Enda and Duggan, Jim (2013) 'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud'. Concurrency and computation: practice and experience, 25 (12):1656-1674 [Details]
	(2013)	'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud' Enda Barrett, Enda Howley, Jim Duggan (2013) 'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud'. Concurrency And Computation: Practice And Experience (To Appear), [Details]
	(2012)	'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud' Duggan, James and Howley, Enda and Barrett, Enda (2012) 'Applying reinforcement learning towards automating resource allocation and application scalability in the cloud'. Concurrency And Computation: Practice And Experience (To Appear), [Details]
	(2003)	'A Learning Architecture to Support Autonomous Resource' Barrett, Enda (2003) 'A Learning Architecture to Support Autonomous Resource'. Operations Research, 30 (5):787-800 [Details]

Conference Publications

	Year	Publication
	(2024)	*Joint European Conference on Machine Learning and Knowledge Discovery in Databases* Kadamala, Kevlyn and Chambers, Des and Barrett, Enda (2024) Enhancing HVAC Control Efficiency: A Hybrid Approach Using Imitation and Reinforcement Learning Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pp.256-270 [Details]
	(2023)	*European Conference on Artificial Intelligence* Shah, Mian Ibad Ali and Wahid, Abdul and Barrett, Enda and Mason, Karl (2023) A Multi-agent Systems Approach for Peer-to-Peer Energy Trading in Dairy Farming European Conference on Artificial Intelligence , pp.254-261 [Details]
	(2023)	*2023 34th Irish Signals and Systems Conference (ISSC)* Duignan, Michael and Schukat, Michael and Barrett, Enda (2023) Detecting Ransomware Encryption with File Signatures and Machine Learning Models 2023 34th Irish Signals and Systems Conference (ISSC) , pp.1-5 [Details]
	(2021)	*2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE)* Rezaeimozafar, Mostafa and Monaghan, Rory and Barrett, Enda and Duffy, Maeve (2021) Optimal scheduling for behind-the-meter batteries under different tariff structures 2021 IEEE 9th International Conference on Smart Energy Grid Engineering (SEGE) , pp.64-70 [Details]
	(2021)	*2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)* Hossain, Mohammad Amzad and Schukat, Michael and Barrett, Enda (2021) MU-MIMO based cognitive radio in internet of vehicles (IoV) for enhanced spectrum sensing accuracy and sum rate 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring) , pp.1-7 [Details]
	(2021)	*2021 IEEE 11th annual computing and communication workshop and conference (CCWC)* Hossain, Mohammad Amzad and Schukat, Michael and Barrett, Enda (2021) A reliable energy and spectral efficient spectrum sensing approach for cognitive radio based IoT networks 2021 IEEE 11th annual computing and communication workshop and conference (CCWC) , pp.1569-1576 [Details]
	(2020)	*2020 IEEE 13th International Conference on Cloud Computing (CLOUD)* Kelly, Daniel and Glavin, Frank and Barrett, Enda (2020) Serverless computing: Behind the scenes of major platforms 2020 IEEE 13th International Conference on Cloud Computing (CLOUD) , pp.304-312 [Details]
	(2020)	*The 12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2020)* Hayes, Barry P and Thakur, Subhasis and Barrett, Enda (2020) Design of an open-source laboratory demonstrator for peer-to-peer trading in local energy markets The 12th Mediterranean Conference on Power Generation, Transmission, Distribution and Energy Conversion (MEDPOWER 2020) , pp.342-347 [Details]
	(2019)	*Service-Oriented Computing: 17th International Conference, ICSOC 2019, Toulouse, France, October 28--31, 2019, Proceedings* Shaw, Rachael and Howley, Enda and Barrett, Enda (2019) Check for An Energy Efficient and Interference Aware Virtual Machine Consolidation Algorithm Using Workload Classification Service-Oriented Computing: 17th International Conference, ICSOC 2019, Toulouse, France, October 28--31, 2019, Proceedings [Details]
	(2019)	*AICS* Lissa, Paulo and Peretti, Dayanne and Schukat, Michael and Barrett, Enda and Seri, Federico and Keane, Marcus (2019) Machine Learning Methods Applied to Building Energy Production and Consumption Prediction AICS , pp.236-247 [Details]
	(2019)	*Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10--14, 2018, Proceedings, Part III 18* Dowling, Seamus and Schukat, Michael and Barrett, Enda (2019) Using reinforcement learning to conceal honeypot functionality Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2018, Dublin, Ireland, September 10--14, 2018, Proceedings, Part III 18 , pp.341-355 [Details]
	(2019)	*2019 30th Irish signals and systems conference (ISSC)* Hossain, Mohammad Amzad and Schukat, Michael and Barrett, Enda (2019) Enhancing the spectrum utilization in cellular mobile networks by using cognitive radio technology 2019 30th Irish signals and systems conference (ISSC) , pp.1-6 [Details]
	(2019)	*Proceedings of the Future Technologies Conference (FTC) 2018: Volume 2* Ko, Ili and Chambers, Desmond and Barrett, Enda (2019) A lightweight DDoS attack mitigation system within the ISP domain utilising self-organizing map Proceedings of the Future Technologies Conference (FTC) 2018: Volume 2 , pp.173-188 [Details]
	(2019)	*Service-Oriented Computing: 17th International Conference, ICSOC 2019, Toulouse, France, October 28--31, 2019, Proceedings 17* Shaw, Rachael and Howley, Enda and Barrett, Enda (2019) An energy efficient and interference aware virtual machine consolidation algorithm using workload classification Service-Oriented Computing: 17th International Conference, ICSOC 2019, Toulouse, France, October 28--31, 2019, Proceedings 17 , pp.251-266 [Details]
	(2018)	*2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC)* Shaw, Rachael and Howley, Enda and Barrett, Enda (2018) A predictive anti-correlated virtual machine placement algorithm for green cloud computing 2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC) , pp.267-276 [Details]
	(2017)	*2017 12th international conference for internet technology and secured transactions (ICITST)* Duggan, Martin and Mason, Karl and Duggan, Jim and Howley, Enda and Barrett, Enda (2017) Predicting host CPU utilization in cloud computing using recurrent neural networks 2017 12th international conference for internet technology and secured transactions (ICITST) , pp.67-72 [Details]
	(2017)	*2017 12th international conference for internet technology and secured transactions (ICITST)* Janardhanan, Deepak and Barrett, Enda (2017) CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models 2017 12th international conference for internet technology and secured transactions (ICITST) , pp.55-60 [Details]
	(2017)	*2017 12th International Conference for Internet Technology and Secured Transactions (ICITST)* Shaw, Rachael and Howley, Enda and Barrett, Enda (2017) An advanced reinforcement learning approach for energy-aware virtual machine consolidation in cloud data centers 2017 12th International Conference for Internet Technology and Secured Transactions (ICITST) , pp.61-66 [Details]
	(2017)	*International Conference on Service-Oriented Computing* Rachael Shaw, Enda Howley, Enda Barrett (2017) Predicting the Available Bandwidth on Intra Cloud Network Links for Deadline Constrained Workflow Scheduling in Public Clouds International Conference on Service-Oriented Computing [Details]
	(2017)	*Service-Oriented Computing: 15th International Conference, ICSOC 2017, Malaga, Spain, November 13--16, 2017, Proceedings* Shaw, Rachael and Howley, Enda and Barrett, Enda (2017) Predicting the available bandwidth on intra cloud network links for deadline constrained workflow scheduling in public clouds Service-Oriented Computing: 15th International Conference, ICSOC 2017, Malaga, Spain, November 13--16, 2017, Proceedings , pp.221-228 [Details]
	(2016)	*2016 International Conference on Cloud and Autonomic Computing (ICCAC)* Duggan, Martin and Duggan, Jim and Howley, Enda and Barrett, Enda (2016) An autonomous network aware vm migration strategy in cloud data centres 2016 International Conference on Cloud and Autonomic Computing (ICCAC) , pp.24-32 [Details]
	(2016)	*2016 sixth international conference on innovative computing technology (INTECH)* Duggan, Martin and Flesk, Kieran and Duggan, Jim and Howley, Enda and Barrett, Enda (2016) A reinforcement learning approach for dynamic selection of virtual machines in cloud data centres 2016 sixth international conference on innovative computing technology (INTECH) , pp.92-97 [Details]
	(2016)	*(INTECH), 2016 Sixth International Conference on Innovative Computing Technology* Martin Duggan, Kieran Flesk, Jim Duggan, Enda Howley, Enda Barrett (2016) A reinforcement learning approach for dynamic selection of virtual machines in cloud data centres (INTECH), 2016 Sixth International Conference on Innovative Computing Technology [Details]
	(2016)	*(ICCAC), 2016 International Conference on Cloud and Autonomic Computing* Martin Duggan, Jim Duggan, Enda Howley, Enda Barrett (2016) An Autonomous Network Aware VM Migration Strategy in Cloud Data Centres (ICCAC), 2016 International Conference on Cloud and Autonomic Computing [Details]
	(2015)	*Joint European Conference on Machine Learning and Knowledge Discovery in Databases* Enda Barrett, Stephen Linder (2015) Autonomous hvac control, a reinforcement learning approach Joint European Conference on Machine Learning and Knowledge Discovery in Databases [ARAN Link] [Details]
	(2015)	*Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III 15* Barrett, Enda and Linder, Stephen (2015) Autonomous hvac control, a reinforcement learning approach Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III 15 , pp.3-19 [Details]
	(2013)	*Proceedings of the Adaptive and Learning Agents workshop (at AAMAS 2013)* Barrett, Enda and Howley, Enda and Duggan, Jim (2013) Parallel bayesian model learning Proceedings of the Adaptive and Learning Agents workshop (at AAMAS 2013) [Details]
	(2011)	*2011 IEEE ninth European conference on web services* Barrett, Enda and Howley, Enda and Duggan, Jim (2011) A learning architecture for scheduling workflow applications in the cloud 2011 IEEE ninth European conference on web services , pp.83-90 [Details]
	(2011)	*(ECOWS), 2011 Ninth IEEE European Conference on Web Services* Enda Barrett, Enda Howley, Jim Duggan (2011) A learning architecture for scheduling workflow applications in the cloud (ECOWS), 2011 Ninth IEEE European Conference on Web Services [Details]
	(2009)	*European Conference on Artificial Life* Barrett, Enda and Howley, Enda and Duggan, Jim (2009) Evolving group coordination in an N-player game European Conference on Artificial Life , pp.450-457 [Details]
	(2009)	*BIOSIGNALS* Enda Barrett, Des Chambers, Cosmin Rotariu (2009) ECG Classification and Analysis in a Zigbee Wireless Sensor Network BIOSIGNALS [Details]
	(2009)	*European Conference on Artificial Life* Enda Barrett, Enda Howley, Jim Duggan (2009) Evolving group coordination in an N-player game European Conference on Artificial Life [Details]
	(2009)	*International Conference on Bio-inspired Systems and Signal Processing* Barrett, Enda and Chambers, Des and Rotariu, Cosmin (2009) ECG classification and analysis in a zigbee wireless sensor network International Conference on Bio-inspired Systems and Signal Processing , pp.322-326 [Details]

Workshops

	Year	Publication
	(2013)	Parallel bayesian model learning. Enda Barrett, Enda Howley, Jim Duggan (2013) Parallel bayesian model learning. Workshops [Details]

Current Postgraduate Students (Research)

Student	Degree Type	Type
Michael Duignan	Doctorate - PhD(Eng)	Co-supervisor (1)
Kevlyn Stanly Kadamala	Doctorate - Structured Ph.D (Engineering)	Supervisor
Daniel Kelly	Doctorate - Structured Ph.D (Engineering)	Supervisor
Mian Ibad Ali Shah	Doctorate - Structured Ph.D (Engineering)	Co-supervisor (1)
Michael Mc Mahon	Doctorate - PhD(Eng)	Co-supervisor (1)
Mostafa Rezaeimozafar	Doctorate - Structured Ph.D (Engineering)	Co-supervisor (2)