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Publications

Year Authors Title
  2020 Gueriau, Maxime and Cugurullo, Federico and Acheampong, Ransford A. and Dusparic, Ivana Shared Autonomous Mobility-on-Demand: Learning-based approach and its performance in the presence of traffic congestion IEEE Intelligent Transportation Systems Magazine
  2020 Miller Trujillo, Mario Linares-Vásquez, Camilo Escobar-Velásquez, Ivana Dusparic and Nicolás Cardozo Does Neuron Coverage Matter for Deep Reinforcement Learning? A Preliminary Study 2nd International Workshop on Deep Learning and Testing at ICSE (DeepTest)
  2020 Nicolas Cardozo, Ivana Dusparic Learning Run-time Compositions of Interacting Adaptations 15th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS)
  2020 Federico Cugurullo, Ransford Acheampong, Maxime Gueriau, Ivana Dusparic The transition to autonomous cars, the redesign of cities and the future of urban sustainability Urban Geography. DOI: https://doi.org/10.1080/02723638.2020.1746096
  2020 Melanie Bouroche, Ivana Dusparic Urban Computing: The Technological Framework for Smart Cities Handbook of Smart Cities
  2020 Alberto Castagna, Maxime Guériau, Giuseppe Vizzari, Ivana Dusparic Demand-Responsive Zone Generation for Real-Time Vehicle Rebalancing in Ride-Sharing Fleets Agents in Traffic and Transportation (ATT 2020)
  2019 F Golpayegani, I Dusparic, S Clarke Using Social Dependence to Enable Neighbourly Behaviour in Open Multi-Agent Systems ACM Transactions on Intelligent Systems and Technology, 10(3), pp3319402. DOI: HTTP://DX.DOI.ORG/10.1145/3319402
  2019 A Taylor, I Dusparic, M Gueriau, S Clarke Parallel Transfer Learning in Multi-Agent Systems: What, when and how to transfer? International Joint Conference on Neural Networks (IJCNN)
  2019 M Gueriau, N Cardozo, I Dusparic Constructivist Approach to State Space Adaptation in Reinforcement Learning 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO 2019)
  2019 Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Melanie Bouroche Privacy Aware Incentivization for Participatory Sensing Sensors, 19(18). DOI: https://doi.org/10.3390/s19184049
  2019 Cardozo, Nicolas and Dusparic, Ivana and Linares-Vasquez, Mario Perspectives in Testing Deep RL
  2019 Prasad, Amit and Dusparic, Ivana Multi-agent deep reinforcement learning for zero energy communities
  2019 Doyle, Christopher and Gueriau, Maxime and Dusparic, Ivana Variational Policy Chaining for Lifelong Reinforcement Learning
  2019 Omoniwa, Babatunji and Gueriau, Maxime and Dusparic, Ivana An RL-based Approach to Improve Communication Performance and Energy Utilization in Fog-based IoT
  2018 Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, SIobhan Clarke Participant Selection for Short-term Collaboration in Open Multi-agent systems Simulation Modelling Practice and Theory, 83, pp149-161. DOI: https://doi.org/10.1016/j.simpat.2017.11.007
  2018 Maxime Gueriau and Ivana Dusparic SAMoD: Shared Autonomous Mobility-on-Demand using Decentralized Reinforcement Learning The 21st IEEE International Conference on Intelligent Transportation Systems (ITSC2018).
  2018 Martin Connolly, Ivana Dusparic and Mélanie Bouroche An Identity Privacy Preserving Incentivization Scheme for Participatory Sensing International Conference on Mobile Computing and Ubiquitous Networking (ICMU), 2018, pp1-8
  2018 Martin Connolly, Ivana Dusparic, Georgios Iosifidis, Melanie Bouroche Adaptive Reward Allocation for Participatory Sensing Wireless Communications and Mobile Computing, 2018, pp6353425. DOI: https://doi.org/10.1155/2018/6353425
  2018 S Bennati, I Dusparic, R Shinde, CM Jonker Volunteers in the Smart City: Comparison of Contribution Strategies on Human-Centered Measures Sensors
  2018 Jeancarlo Arguello Calvo, Ivana Dusparic Heterogeneous Multi-Agent Deep Reinforcement Learning for Traffic Lights Control 26th Irish Conference on Artificial Intelligence and Cognitive Science (AICS 2018)
  2018 Nicolas Cardozo, Ivana Dusparic Generating Software Adaptations using Machine Learning ML4PL: 2nd International Workshop on Machine Learning Techniques for Programming Languages at ECOOP 2018
  2017 Andrei Marinescu, Ivana Dusparic, Siobhán Clarke. Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments ACM Transactions on Autonomous and Adaptive Systems, 12(2). DOI: http://dx.doi.org/10.1145/3070861
  2017 Dusparic, I., Taylor, A., Marinescu, A., Golpayegani, F., Clarke, S. Residential demand response: Experimental evaluation and comparison of self-organizing techniques Renewable and Sustainable Energy Reviews, 80, pp1528-1536 . DOI: http://doi.org/10.1016/j.rser.2017.07.033
  2017 Nicolás Cardozo, Ivana Dusparic, Jorge H. Castro Peace COrP: Learning to solve conflicts between contexts 9th Workshop on Context-Oriented Programming (COP 2017) at ECOOP 2017. DOI: http://dx.doi.org/10.1145/3117802.3117803
  2016 Golpayegani F, Dusparic I, Taylor A, Clarke S Multi-agent Collaboration for Conflict Management in Residential Demand Response Computer Communications, 96, pp63-72. DOI: http://dx.doi.org/10.1016/j.comcom.2016.04.020
  2016 I. Dusparic, J. Monteil and V. Cahill Towards autonomic urban traffic control with collaborative multi-policy reinforcement learning 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). DOI: http://dx.doi.org/10.1109/ITSC.2016.7795890
  2015 Golpayegani, F., Dusparic, I., Clarke, S. Collaborative, parallel Monte Carlo Tree Search for autonomous electricity demand management Sustainable Internet and ICT for Sustainability, SustainIT 2015, pp7101360-. DOI: http://dx.doi.org/ 10.1109/SustainIT.2015.7101360
  2015 Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill and Siobhán Clarke. Maximizing Renewable Energy Use with Decentralized Residential Demand Response. International Smart Cities Conference (ISC2), pp7366212. DOI: http://dx.doi.org/10.1109/ISC2.2015.7366212
  2015 Marinescu A, Dusparic I, Taylor A, Canili V, Clarke S P-MARL: Prediction-based Multi-Agent Reinforcement Learning for non-stationary environments (extended abstract) , 3, pp1897-1898
  2015 Cavallo J, Marinescu A, Dusparic I, Clarke S Evaluation of forecasting methods for very small-scale networks Data Analytics for Renewable Energy Integration, pp56–75. DOI: http://dx.doi.org/10.1007/978-3-319-27430-0_5
  2014 Harris, C. : Doolan, R. ; Dusparic, I. ; Marinescu, A. ; Cahill, V. ; Clarke, S. A distributed agent based mechanism for shaping of aggregate demand on the smart grid ENERGYCON 2014 - IEEE, pp737 - 742 . DOI: http://dx.doi.org/10.1109/ENERGYCON.2014.6850508
  2014 Adam Taylor, Edgar Galván-López, Ivana Dusparic, Colin Harris, Andrei Marinescu, Siobhán Clarke and Vinny Cahill Self-Organising Algorithms for Residential Demand Response IEEE Conference on Technologies for Sustainability - Engineering and the Environment (SusTech 2014), pp55-60. DOI: http://dx.doi.org/10.1109/sustech.2014.7046218
  2014 Harris, C., Dusparic, I., Galván-López, E., (...), Cahill, V., Clarke, S. Set point control for charging of electric vehicles on the distribution network IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, pp6816415. DOI: http://dx.doi.org/10.1109/ISGT.2014.6816415
  2014 Marinescu, A., Harris, C., Dusparic, I., Cahill, V., Clarke, S. A hybrid approach to very small scale electrical demand forecasting IEEE PES Innovative Smart Grid Technologies Conference, ISGT 2014, pp6816426-. DOI: http://dx.doi.org/10.1109/ISGT.2014.6816426
  2014 Adam Taylor, Ivana Dusparic, Edgar Galván-López, Siobhán Clarke and Vinny Cahill. Accelerating Learning in Multi-Objective Systems through Transfer Learning Special Session on Learning and Optimization in Multi-Criteria Dynamic and Uncertain Environments at the IEEE International Joint Conference on Neural Networks (IJCNN 2014).. DOI: http://dx.doi.org/10.1109/ijcnn.2014.6889438
  2014 Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke A Dynamic Forecasting Method for Small Scale Residential Electrical Demand Proceeding of the International Joint Conference on Neural Networks. DOI: http://dx.doi.org/10.1109/IJCNN.2014.6889425
  2013 Marinescu, A., Harris, C., Dusparic, I., Clarke, S., Cahill, V. Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods 2nd International Workshop on Software Engineering Challenges for the Smart Grid, SE4SG 2013, pp25-32. DOI: http://dx.doi.org/10.1109/SE4SG.2013.6596108
  2013 Dusparic, I., Harris, C., Marinescu, A., Cahill, V., Clarke, S. Multi-agent residential demand response based on load forecasting IEEE Conference on Technologies for Sustainability – Engineering and the Environment (SusTech), pp90-96. DOI: http://dx.doi.org/10.1109/SusTech.2013.6617303
  2012 Edgar Galvan-Lopez, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill Reducing Electricity Costs in a Dynamic Pricing Environment 3rd IEEE International Conference on Smart Grid Communications, pp169-174 . DOI: http://dx.doi.org/10.1109/SmartGridComm.2012.6485978
  2012 Mélanie Bouroche, Vinny Cahill, Siobhan Clarke, Ivana Dusparic, Anurag Garg, Fabian Bustamante. Research Challenges in Participatory Sensing for Urban Management Applications, 11th IT&T Conference, pp2-9
  2012 Dusparic, I., Cahill, V. Autonomic multi-policy optimization in pervasive systems: Overview and evaluation ACM Transactions on Autonomous and Adaptive Systems, 7(1). DOI: http://dx.doi.org/10.1145/2168260.2168271
  2010 Ivana Dusparic and Vinny Cahill Multi-policy optimization in self-organizing systems 1st International Workshop on Self-Organizing Architectures, SOAR 2009, 6090, pp101-126. DOI: http://dx.doi.org/10.1007/978-3-642-14412-7_6
  2009 Ivana Dusparic and Vinny Cahill. Using reinforcement learning for multipolicy optimization in decentralized autonomic systems - an experimental evaluation. The Sixth International Conference on Autonomic and Trusted Computing (ATC-09), pp105-119.. DOI: http://dx.doi.org/10.1007/978-3-642-02704-8_9
  2009 Vinny Cahill and Ivana Dusparic Distributed w-learning: Multi-policy optimization in self-organizing systems. 3rd IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), pp20-29. DOI: http://dx.doi.org/10.1109/SASO.2009.23
  2009 Ivana Dusparic and Vinny Cahill. Multi-policy optimization in decentralized autonomic systems (extended abstract). 8th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2, pp1203-1204
  2008 Ivana Dusparic and Vinny Cahill. Autonomic management of large-scale critical infrastructures. Workshop on Hot Topics in Autonomic Computing, pp1-2
  2007 Dusparic, I. and Cahill, V. Research issues in multiple policy optimization using collaborative reinforcement learning International Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS'07). DOI: http://dx.doi.org/10.1109/SEAMS.2007.17
  2005 Ivana Dusparic, Dominik Dahlem and Jim Dowling Flexible Application Rights Management in a Pervasive Environment IEEE International Conference on E-Technology, E-Commerce and E-Service, pp680 - 685 . DOI: http://dx.doi.org/10.1109/EEE.2005.76
  2004 Dominik Dahlem and Ivana Dusparic, Jim Dowling, A Pervasive Application Rights Management Architecture (PARMA) based on ODRL First International Open Digital Rights Language (ODRL) Workshop, pp46--63

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